deer, d.u., miller, r.p., 1966, engineering classification and index

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Best Available Copy AFWL-T•-65-6 AFWL-TR 4 )65-116 ENGINEEEiNG CLASSiFICATIONj AND INDEX PROP2RTIES FOR INTACT ROCK D. U. Deere R. P. Millor University of Illinois Urbana, Illinois A. Contract AF 29(601)-6319 TECHNICAL REPORT NO. AFWL-TR-65-116 December 1966 AIR FORCE WEAPONS LABORATORY Research and Technology Division Air Force Systems Command Kirtland Air Force Base New Mexico p0 VC &Q'i76O1967 o 0014076RO1 (5

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Page 1: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

Best Available Copy

• AFWL-T•-65-6 AFWL-TR4 )65-116

ENGINEEEiNG CLASSiFICATIONjAND INDEX PROP2RTIES

FOR INTACT ROCK

D. U. DeereR. P. Millor

University of Illinois

Urbana, Illinois

A. Contract AF 29(601)-6319

TECHNICAL REPORT NO. AFWL-TR-65-116

December 1966

AIR FORCE WEAPONS LABORATORYResearch and Technology Division

Air Force Systems CommandKirtland Air Force Base

New Mexico p0

VC &Q'i76O1967

o 0014076RO1 (5

Page 2: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

AFWL-TR-65--116

Research and Technology Division

AIR FORCE WEAPONS LABORATORYAir Force Systems CommandKirtland Air Force Base

New Mexico

When U. S. Government drawings, specifications, or other data are used forany purpose other than a definitely related Government procurement operation,the Government thereby incurs no responsibility nor any obligation whatsoever,and ,he fact that the Government may have formulated, furnished, or in anyway supplied the said drawings, specifications, or other data, is not to beregarded by implication or otherwise, as in any manner licensing the holderor any other person or corporation, or conveying any rights or permission tomanufacture, use, or sell any patented invention that may in any way berelated thereto.

This report is made available for study with the understanding thatproprietary interests in and relating thereto will not be impaired. Incase of apparent conflict or any other questions between the Government'srights and those of others, notify the Judge Advocate, Air Force SystemsCommand, Andrews Air Force Base, Washington, D. C. 20331.

Distribution of this document is unlimited.

NIMTE $EnTiONIW, SEUTOI [

IFIMATN U VOi

rUIUTOA, AYAFIAILITY C400

ST. AVAIL maud/it E

Page 3: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

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Page 4: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

AFWL-TR-65--116

ENGINEERING CLASSIFICATION AID INDEXPROPERTiS FO2 I1"ChCT ROCK

D. U. Deere

R. P. Miller

University of IllinoisUrbana, Illinois

Contract AF29(601)-6319

TECHNICAL REPORT NO. AETL-TR-65-116

Distribution of this documentis unlimited.

Page 5: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

AF•m-TR-65-116

This report was preparcd by the Dci;:rtn7nt of Civil ELgincering at theUniversity of Illinois, Urbana, Illinoic under Contract AF29(601)-6319. Theresearch was performcd under Program Elc:ýnt 6.16.46.0l.D, Project 5710, Sub-task 13.144, and was funded by the Defense Atomic Support ,.cncy (DASA).

Inclusive dates of research were 1 February 1964 through I April 1966.The report was submitted 6 October 1966 by the AFUL Project Officer, CaptainJoseph J. O'Kobrick (WLDC). Captain Thomas E. O'Brien was the former ProjectOfficer for the Air Force.

Dr. Don U. Deere, Professor of Civil Engineering and of Geology, was theproject supervisor. R. P. Miller, Research Associate in Civil Engineering wasimmediately responsible for all phases of the test program and preparation of thewritten report. E. J. Cording, Research Assistan in Civil Engineering, assistedin development of special equipment and testing techniques. J. T. Wilband,Teaching Assistant in Geology, performed the petlographic analysis. J. H. Coulson,Graduate Fellow in Civil Engineering, assisted in specimen preparation and testing,and prepared the computer programs for data reduction and statistical analysis.The drawings were prepared by E. E. Boatz. Acknowledgment is extended to theCorps of Engineers, Walla Walla District, and the U. S. Bureau of Reclamation,Denver, who furnished core samples; and also to the numerous rock quarries, mostof whom furnished block samples without charge.

This report has been reviewed and is approved.

J140~qH.O'KOBRICKCaptain, USAFProject Officer

ALLEN F. DILL GEORGEC. DBY, JR.

CDR, CEC, USNR Colonel, USAFChief, Civil Engineering Branch Chief, Development Division

li

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ABSTRACT

Physical and elastic properties of NX-size rock core from 27localities were Investigated in order to develop an engineering classifi-cation system for intact rock, and also to develop index proertiec relatedto important physical and engincerino charocteristics. Thirteen rick typesare represented. Lnlcrawury tests were conducted on these rocks as follows:urni, weight, Shore scleroscope hardness, Schmidt hammer hardness, abrasionhardness, absorption, sonic-velocity stress-strain under cyclic loadingto 5,000 psi. uniaxial stress-strain t-) failure, and point-load tensilestrength. A total of 257 specimens with L/D ratios of 2:1 wee tetcd.Statistical studies were conducted with the Il 7094 computer to determinecorrelation and regression relationships for selected pairs of variables.A system of engineering classification is proposed in which rocks areclassified on the basis of their strength and modulus properties eitherobtained directly from laboratory tests, or approximately from index proper-ties recommended herein. Application of the proposed engineering classifi-cation system to data obtained by others is shown by individual charts foreach of several different rock types. Five charts are presented for esti-mating the strength or modulus properties for intact rock from toe numericalindices obtained by either the Schmidt hamneri Lie Shore sclerosccpe, orthe sonic pulse velocity, all used in conjunction with the unit weight ofthe rock.

III

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-II

CONTENTS

SECTIOiN PAGE

1. INTRODUCTICA I

I. Nature of the Problem I2. Objectives of Investigation 2

3. Scope of Study 3

2. EXISTING SYSTEMS OF ROCK CLASSIFICATION 5

1. Cencral 52. Geological Classification 5

3. Classification by Physical Character of Rock Materials 7

4. Classification by In-Situ Character of Rock Mass 11

3. HARDNESS OF ROCKS 15

1. G.neral 15

2. Types of Rardneý.s and Their Methods of Measurement 16

3. Toughness and Resilience 20

4. Hardness and Other Physical Properties 25

5. Hardness and Drilling 30

4. EXPRERIMENTAL STUDIES 33

I. General 33

2. Description of Rocks 33

3. Preparation of Test Specimens 38

It. Laboratory Tests 46

5. Test Results 67

5. DISCUSSION AND INTERPRETATION OF EXPERIMENTAL DATA 84

1. General 842. Statistical Procedures 84

3. Physical Properties 87

4. Elastic Properties 90

5. Relationships Among Various Physical Properties 99

6. Relationships Among Physical and Elastic Properties 108

7. Comparison of Static and Dynamic Properties 122

V

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SECTION PAGE

6. ENGINEERING CLASSIFICATION AMD INDEX PROPERTIES FOR IITACT ROCK 136

1. General 136

2. Proposed Engineering Classification 136

3. Index Properties 160

4. Unit Weight as an Index of Strength and Deformation 161

5. Schmidt Hardness as an Index of Strength and Deformation 162

6. Shore Hardness as an Index of Strength and Deformation 171

7. Soni. Veiocity as an Index of Deformation 180

7. SUMMARY AND CONCLUSIONS 185

1. Summary 185

2. Conclusions :86

3. Suggestions for Further Research 189

APPENDIX A. PETROGRAPHIC DESCRIPTIONS AND THIN-SECTIONPHOTOMICROGRAPHS 191

APPENDIX B. TYPICAL TEST RESULTS 219

APPENDIX C. STATISTICAL METHODS OF ANALYSIS 276

BIBLIOGRAPHY 291

DISTRIBUTION 301

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Page 10: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

LIST OF TABLES

Table No. Page

2.1 SCALE OF ROCK HARDIN.ESS 9

2.2 CLASSIFICATION OF ROCKS FOR ROCK tZCI•ClLANICS II

3.1 MOHS HARDNESS SCALE AND CRYSTAL STRUCTURE 17

4.1 LIST OF ROCK TYPES 34

4.2 SUMARY OF AVERAGE PHYSICAL PROPERTIES FOR ROCK 71

4.3 SUMMARY OF AVERAGE ELASTIC PROPERTIES FOR ROCK 75

5.1 NUMBER OF TESTS AND COEFFICIENTS OF VARIATIONFOR MEASURED ROCK PROPERTIES 86

5.2 EFFECT OF OVEN-DRYING ON THE DILATATIONAL WAVEVELOCITY FOR ROCKS 99

5.3 PERCENT BY WHICH DYNMIC PROPERTIES ARE GREATERTHAN STATIC PROPERTIES FOR ROCKS 132

6.1 ENGINEERING CLASSIFICATION FOR INTACT ROCK 137

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LIST OF FIGURES

Figure Vo. Page

3.1 RELATION:SHr? &:T1:7EN1 RLATi,2 VALUES C7 li?-ACTTOUGHINESS AN.I W'13 RESIST;.JCE FC. ROCK 22

3.2 RELATIONSHIP BEETZEN S1:ORE I' PRDNESS k.YD ALCSIONHARDNESS FOR ROCK 23

3.3 1KOULI OV RESILIENCE OF S0ORE TYPICAL ROCKS TESTEDBY U. S. BUREAU OF MINES 24

3.4 RELATIONSHIP BET1W,'EEN ABRASION HA•DDNESS AND ULTIMATECOMPRESSIVE ST'ENGTH FOR ROCK IN UNIAXIAL CONPRESSXON 26

3.5 RELATIONSHIP BETWEEN SHCRE HARDNESS P.ND ULTIt,1ATECOMPRESSIVE STRENGTH FOR ROCK IN UNIAXIAL CONIPRESSION 28

3.6 RELATIONSHIP BETWEEN SHORE HARDNESS AND ULTIATECOMPRESSIVE STRENGTH FOR ROCK IN UNIAXIAL COilPRESSION 29

4.1 DRILL PRESS 39

4.2 BLOCK SAMPLE CLAMPED IN POSITION FOR CORE DRILLING 41

4.3 DIAMOND ROCK SAV4 43

4.4 CORE SPECIMEN CLAMPED IN SAW CARRIAGE 44

4.5 LAPPING MACHINE 45

4.6 CORE SPEC'iMEN, CYLINDRICAL CORE HOLDER, CONDITIONINGRING, AND PRESSURE PLATE 45

4.7 SHORE SCLEROSCOPE 48

4.8 LONGITUDINAL SECTION OF THE TYPE L SCH14IDT TESTHAMMER 50

4.9 SCHMIDT TEST HAMMER BESIDE SPECIMEN CRADLE BLOCKAND BASE PLATE 51

4.10 ABRASION APPARATUS 53

4.11 SCHEMATIC INTERCONNECTION DIAGRAM FOR SONIC PULSEVELOCITY MEASURING EQUIPMENT 56

4.12 TYPICAL SONIC PULSE WAVE-FORM DISPLAYS 58

4.13 EQUIPMENT FOR MEASURING SONIC PULSE VELOCITY ANDSTATIC STRESS-STRAIN DURING CYCLIC LOADING 60

4.14 CORE SPECIMEN IN POSITION FOR MEASURING SONIC PULSEVELOCITY. STRESS AND STRAIN UNDER UNIAXIAL LOAD 61

4.15 STRAIN READ-OUT 62

4.16 COMPRESSION TEST MACHINE 64

4.17 CORE SPECIMEN IN POSITION FOR COMPRESSION TEST TOFAILURE 65

viii

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Figure No. Page

4.18 TYPICAL CC;:PRESSIVE FAILURES 664.19 SCHE,!.ATIC DIA,GPRmI FOR POIMlT-LC,lD TE[SILE TEST 68

4.20 POINT-LC%, D TEE2SILE TEST ECUIiEYT 69

4.21 CORE SFPCIICIMN IN POSITION FOR POIiNT-LO;AD TENISILETEST 70

5.1 REPRESENTATIVE STRESS-STRAIN CURVE FOR ROCK INUNIAXIAL CO;MPRESSION 91

5.2 TYPICAL STRESS-STRAIN CURVES FOR ROCK IN UNIAXIALCOMPRESSION TO FAILURE 94

5.3 RELATIONSHIP BETWEEN AVERAGE VALUES OF DRY UNITWEIGHT AND 1LTIMATE COMPRESSIVE STRENGTH FOR ROCKIN UNIAXIAL CCMRESSION 100

5.4 RELATIONSHIP BETWEEN AVERAGE VALUES OF SHOREHARDNESS AND ULTIMATE COMIPRESSIVE STRENGTH FORROCK IN UNIAXIAL COMPRESSION 102

5.5 RELATIONSHIP BETWEEN AVERAGE VALUES OF SCHMIDTHARDNESS AND ULTIMATE COMPRESSIVE STRENGT' FORROCK III UNIAX;,IAL COMPRESSION 103

5.6 RELATIC'"*!5P BETWEEN AVERAGE VALUES OF ADF•.SIONHARDNESS AND ULTItrATE COMPRESSIVE STRENGTH FORROCK IN UNIAXIAL COMIPRESSION 104

5.7 RELATIONSH!P BETWE.N ABSORPTION AND AVERAGE VALUESOF ULTIMATE COMPRESSIVE STRENGTH FOR ROCK INUNIAXIAL COMPRESSION 106

5.8 RELATIONSHIP BETWEEN AVERAGE VALUES OF POINT-LOADTENSILE STRENGTH AW") ULTIMATE COMPRESSIVE STRENGTHFOR ROCK IN UNIAX.AL COMPRESSION 107

5.9 RELATIONSHIP BETWEEN AVERAGE VALUES OF SHOREHARDNESS AND ABRASION HARDNESS FOR ROCK 109

5.10 RELATIONSHIP BETWEEN AVERAGE VALUES OF DRY UNITWEIGHT AND TANGENT MODULUS OF DEFORMATION AT STRESSLEVEL OF ONE-HALF ULTIMATE STRENGTH FOR ROCK INUNIAXIAL COMPRESSION 110

5.11 RELATIONSHIP BETWEEN AVERAGE VALUES OF [ILT&'ATECOMPRESSIVE STRENGTH AND INITIAL MODULUS OFDEFORMATION FOR ROCK IN UNIAXIAL COMPRESSION III

5.12 RELATIONSHIP BETWEEN AVERAGE VALUES OF ULTIMATECOMPRESSIVE STRENGTH AND TANGENT MODULUS OFDEFORMATION AT STRESS LEVEL OF ONE-HALF ULTIMATESTRENGTH FOR ROCK IN UNIAXIAL COMPRESSION 112

5.13 RELATIONSHIP BETWEEN AVERAGE VALUES OF SHOREHARDNESS AND TANGENT MODULUS OF DEFORMATION ATSTRESS LEVEL OF ONE-HALF ULTIMATE STRENGTH FORROCK IN UNIAXIAL COMPRESSION 114

ix

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Figure NIo. Page

5.14 RELATIC::ZNIP iETWEEN AVZ•GE VALUES OF SCHU7IDTVK~t"ES A.'D' TAN!GENlT V' :%DuLU5 OF~ DEF~iATICý' ATSTRESS LEVEL OF O1A-,'.1.F ULTiMtATE SThEGTfi F•RROCK i:• U•AxIAL Cc1:?11SSIC-3 115

5.15 RELATIC',IESP11 BEZTtV2C AI V 'llUESOF T,',',ZNT K'ODULUS 0? c:Fcac:ArxC:., AT STR',SS LEVELOF ONIZ-11LF ULTI;IATE STRNGTh FOR ROCK IN UNIAXIALCOlPIESS I0N 116

5.16 RELATICNSHIP BETWEEN AVERA-%GE VALUES OF DRY UNITWEIGHT AND DILATATIoIAL WAVE VELOCITY FOR ROCKUNDER UNIAXIAL CO,2PRESSIVE STRESS OF 5)000 psi 118

5.17 RELATIONSHIP BETWEEN AVERAGE VALUES OF INITI!ALMODULUS OF DEFORMATION1 ANID DILATATIONAL WAVEVELOCITY FOR ROCK UNDER UNIAXIAL COMPRESSIVESTRESS OF 100-150 psi 119

5.18 RELATIONSHIP BETWEEN AVERAGE VALUES OF TANGENTMODULUS OF DEFORMATION AT STRESS LEVEL OF ONE-HALFULTIMATE STRENGTH AND DILATATIONAL WAVE VELOCITY FORROCK U1'DER UNIAXIAL C0Ci1PRESSIVE STRESS OF 5,OO0 psi 120

5.19 VELOCITY-MODULUS VECTORS FOR ROCK UNDER INCREASINGUNIAXIAL COMPRESSIVE STRESS 121

5.20 SONIC STRESS WAVE SUPERIMPOSED UPON A STATICALLYAPPLIED STRESS 125

5.21 THEORETICAL CURVE RELATING CONSTRAINED MODULUS OFDEFORMATION AND YOUNG'S MODULUS OF ELASTICITY FORDIFFERENT VALUES OF POISSON'S RATIO 126

5.22 RELATIONSHIP BETWEEN AVERAGE VALUES OF INITIAL ANDCONSTRAINED MODULI OF DEFORMATION FOR ROCK UNDERUNIAXIAL COMPRESSIVE STRESS OF 100-150 psi 127

5.23 RELATIONSHIP BETWEEN AVERAGE VALUES OF TANGENTMODULUS AT STRESS LEVEL OF ONE-HALF ULTIMATESTRENGTH AND CONSTRAINED MODULUS OF DEFORMATIONFOR ROCK UNDER UNIAXIAL COMPRESSIVE STRESS OF5,000 psi 128

5.24 RELATIONSHIP BETWEEN AVERAGE VALUES OF CONSTRAINEDMODULI OF DEFORMATION COMPUTED FROM STATIC ANDDYNAMIC MEASUREMENTS FOR ROCK UNDER UNIAXIAL COM-PRESSIVE STRESS OF 100-150 psi 130

5.25 RELATIONSHIP BETWEEN AVERAGE VALUES OF CONSTRAINEDMODULI OF DEFORMATION COMPUTED FROM STATIC ANDDYNAMIC MEASUREMENTS FOR ROCK UNDER UNIAXIAL COM-PRESSIVE STRESS UP TO 5,000 psi 131

5.26 RELATIONSHIP BETWEEN AVERAGE VALUES OF DILATATIONALWAVE VELOCITY COMPUTED FROM STATIC AND DYNAMICMEASUREMENTS FOR ROCK UNDER UNIAXIAL COMPRESSIVESTRESS OF 100-150 psi 133

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Figure No. Page

5.27 RELATICNSHIP CET',.'EN AVERAGE OrL.I 0; DILAT.ATIOC.LWAVE V~th!OCITY CC:'XUTED FR~C1 STATIC A2:r DY1"!,"lCMEASURE.$ ,UTS v n, U2'R rCCIL;%L cc:".ýssnSTRESS UP TO 5,000 psi 134

6.j ENGXNEERIIG CLASSIFICATION FOR IT-,CT ROCK -

AVERAGE VALUES FOR 13 ROCK TYPES(28 Locations) 139

6.2 ENGINEERING CLASSIFICATION FOR INTACT ROCK -INDIVIDUAL TEST RESULTS (124 Specimens, 13 Rock Types) 142

6.3 ENGINEERING CLASSIFICATION FOR INTACT ROCK -EFFECT OF ANGLE OF BEDDING AND FOLIATION 143

6.4 ENGINEERING CLASSIFICATION FOR INTACT ROCK -SUMMARY PLOT IGNEOUS ROCK(176 Specimens, 75% of Points) 144

6.5 ENGINEERING CLASSIFICATION FOR INTACT ROCK -DIABASE (26 Specimens, 8 Locations, Various Sources) 145

6.6 ENGINEERING CLASSIFICATION FOR INTACT ROCK -GRANITE FtJ4ILY (CO Specimens, 16 Locations,Various Sources) 146

6.7 ENGINEERING CLASSIFICATION FOR INTACT ROCK -BASALT AF, D OTNER FLOWi ROCKS (70 Specimens,20 Locations, Various Sources) 147

6.8 E.NGINEERING CLASSIFICATION FOR INTACT ROCK -SUMMARY PLOT SEDIMENTARY ROCKS(193 Specimens, 75% of Points) 149

6.9 ENGINEERING CLASSIFICATION FOR INTACT ROCK -LIMESTONE AND DOLOMITE (77 Specimens, 22 Locations,Various Sources) 150

6.10 ENGINEERING CLASSIFICATION FOR INTACT ROCK -SANDSTONE (82 Specimens, 18 Locations,Various Sources) 151

6.11 ENGINEERING CLASSIFICATION FOR INTACT ROCK -HARD SHALE (34 Specimens, 14 Locations,Various Sources) 152

6.12 ENGINEERING CLASSIFICATION FOR INTACT ROCK -POROUS TUFF (44 Specimens, 2 Locations,Various Sources) 154

6.13 ENGINEERING CLASSIFICATION FOR INTACT ROCK -SUMMA•JY PLOT METPBORPHIC ROCKS(167 Specimens, 75% of Points) 155

6.14 ENGINEERING CLASSIFICATION FOR INTACT ROCK -QUARTZITE (41 Specimens, 11 Locations,Various Sources) 156

xi

Page 15: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

Figure N2o. Page

6.15 WGENICERING CLASSIFICATICO FOR INTACT ROCK -GNEISS (43 Specimcns, 14 Locations, VariousSources) 157

6.16 ENGINr-:::,w CLASSIFIC,:,TION' FOR It.TACT ROCK -MAnLE (22 Specirnans, 7 Locations) 158

6.17 ENGINEERING CLASSIFICATION FOR INTACT ROCK -SCHIST (61 Specimens, 11 Locations, Various Sources) 159

6.18 RELATIONSHIP BETWEEN AVERAGE VALUES OF 7a.R ANDULTIMATE COHIPRESSIVE STRENGTH FOR ROCK IN UNIAXIALCOMIPRESSION 163

6.19 RELATIONSHIP BETWEEN AVERAGE VALUES OF )a-R ANDULTIMATE COIPRESSIVE STRENGTH FOR ROCK IN UNIAXIALCOMPRESSION (SEMI-LOG PLOT) 165

6.20 ROCK STRENGTH CHART BASED ON SCFaimDT HARDNESS 167

6.21 RELATIONSHIP BETWEEN AVERAGE VALUES OF ya.R ANDTANGENT MODULUS OF DEFORAtATION AT STRESS LEVEL OFONE-HALF ULTIMATE STRENGTH FOR ROCK IN UNIAXIALCOMPRESS ION 168

6.22 RELATIONSHIP BETWEEN AVERAGE VALUES OF 7a2 .R ANDTANGENT MODULUS OF DEFORtlATION AT STRESS LEVEL OFONE-HALF ULTIMATE STRENGTH FOR ROCK IN UNIAXIALCOMPRESS ION 169

6.23 ROCK MODULUS CHART BASED ON SCHMIDT HARDNESS 170

6.24 RELATIONSHIP BETWEEN AVERAGE VALUES OF SHOREHARDNESS AND SCHMIDT HARDNESS FOR ROCK 172

6.25 RELATIONSHIP BETWEEN AVERAGE VALUES OF 7a'Sh ANDULTIMATF COMPRESSIVE STRENGTH FOR ROCK INUNIAXIAL COMPRESSION 174

6.26 RELATIONSHIP BETWEEN AVERAGE VALUES OF 7a.Sh ANDULTIMATE COMPRESSIVE STRENGTH FOR ROCK INUNIAXIAL COMPRESSION (SEMY-LOG PLOT) 175

6.27 ROCK STRENGTH CHART BASED ON SHORE HARDNESS 176

6.28 RELATIONSHIP BETWEEN AVERAGE VALUES OF Ya-Sh ANDTANGENT MODULUS OF DEFORMATION AT STRESS LEVELOF ONE-HALF ULTIMATE STRENGTH FOR ROCK IN UNIAXIALCOMPRESS ION 177

6.29 RELATIONSHIP BETWEEN AVERAGE VALUES OF Ya2 .Sh ANDTANGENT MODULUS OF DEFORMATION AT STRESS LEVEL OFONE-HALF ULTIMATE STRENGIH FOR ROCK IN UNIAXIALCOMPRESSION 178

6.30 ROCK MODULUS CHART BASED ON SHORE HARDNESS 179

xii

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Figure No. Page

6.31 RELATIONSHIP CETWEEN AVERAE VALUES OF 7a.Vp ANDTArNGENT MODULUS OF DEFOF.;11ATIQ:1 AT STRESSLEVEL OF C=-;',.;LF ULTiIlWA,TE SYi;i:ST:I FOR ROCKIN UNIAX;AL Cc:7,:ESSIG 181

6.32 RELATIONSHIP CETE AVRrAGE VALUES OF 7aVp ANDTANGENT KODULJS OF DEFC=.TIO AT STRESSLEVEL OF ONE-HALF ULTIPIATE STR.ENGTH FOR ROCK INUNIAXIAL COMPRESSION (SEmI-LOG PLOT) 182

6.33 ROCK MODULUS CHART BASED ON DILATATIONAL WAVEVELOCITY 184

B.0IA STRESS-STRAIN BEHA. IOR AND SCNIC PULSE VELOCITYB.28A FOR ROCK IN UNIAXIAL COMPRESSION 220-274

8.18- STRESS-STRAIN CURVE AND POISSON'S RATIO FOR ROCK

B.2FA IN UNIAXIAL COMPRESSION TO FAILURE 221-275

C.1 CHARACTERISTICS OF NORMAL DISTRIBUTION 281

C.2 RELATIONSHIP BETWEEN VARIACLES X AND Y 281

C.3 EFFECT OF SAMPLING VARIATION ON REGRESSION ESTIMATESOF POPULATION tMEANS 289

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Page 17: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

PRINCIPAL SY6"ZLS

a * Y-intercept of rcgrcssion line

Ah = abrasion hnrdn••s

b - slope of regression line, or ccoefficicnt of rcaression

BLH a Baldwin-Lim -Ec! Iton

CL - confidence limits

D - diameter of core specimen

DI - deviation, error or residual

e - 2.71828, the base of natural logarithms

E - Young's modulus of elasticity

Ed - Young's modulus of elasticity determined dynamically

El - initial tangent modulus of deformation

Es = secant modulus of deformation

Et - tangent modulus of deformation

F - total failure load

g - acceleration of gravity

G - modulus of rigidity (or shear modulus)

K - bulk modulus of elasticity

L - length of core specimen

I/D - length/diameter ratio of specimen

Mc - constrained modulus of deformation

Mr - modulus of resilience

Mt - modulus of toughness

n - number in group or sample

PI - weight of oven-dry specimen

P2 = weight of saturated specimen

r - coefficient of correlation

r 2 - coefficient of determination

R - Schmidt hammer hardness

s - sample standard deviation

s2 - sample variance

Sy.x - sample standard deviation from regression, or standard errorof estimate (Y on X)

s5 - standard deviation of the means, or standard error

xlv

Page 18: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

Sh - Shore sclcroscope hardness

t a "Student's" t-distribý.tion

T a point-load tensile strength

USOM - U. S. Bureau of Mines

U S D R - U, S. Cureau of RoclI.•:7tfon

VZ - coefficfcnt of variation

Vp = sonic pulse velocity or dilatational wzve velocity in anunboundc medium (P-w~ve)

Vs - distortional or shear wave velocity (S-wave)

R - sample mean of X

X - Independent variable (abscissa)

- sample mean of Y

Y - dependent variable (ordinate)

Yest. - value of Y estimated from regression

Z - standard normal distribution

1 - level of significance

Y - unit weight

Ya = unit weight (air-dry)

dcr/dc - tangent modulus

c - strain

Cf - strain at failure

tan e - slope of linear stress-strain curve

P - mean of population

V - Poisson's ratio

i - 3.14159

i - angle of internal friction

P - mass density (2)

aa(Y) - yield stress

aa(ult.) - uniaxial compressive strength (ultimate)

a/f - secant modulus

a. - stress (in engineering mechanics)

or - standard deviation of population (in statistics)

E - st'rmation

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AEI-I-TR-65-116

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SECTIC; I

I NTRCDUCT IQOI

1. NATURE OF TIVE PROILFM

Traditionally, civil and military engineers have been involved withthe mechanics of rock bchavior on projects in rock such as dccp foundationsof dams, buildings, and bridges; dccp rock cuts fo." highway, railway, andcanal construction; and rock tunnels for power supply or vehicular use.Mining engineers also have been keenly interested in the behavior of therock surrounding their operations for extraction of materials from beneaththe earth's surface. In recent years, the scope of projects concerned withrock engineering has broadened extensively with ".he advent of undergroundpower plants, missile launch and control facilities, and other types ofr,;ilitary protective construction. These latter projects involve dynamicor shock loading at high intensities of pressure as well as the normalstatic loading.

Many early projects were successfully completed by applying proceduresand rule-of-thumb techniques gained from experience; however, this is notpossible with the current array of projects. If the engineering behaviorof rock under superimposed stresses is to be rationally predicted, knowledgeconcerning the geological discontinuities of the rock mass, physical proper-ties of the geological materials, and principles of mechanics. should beut il ized.

Physical discontinuities are present in all rock masse. in the formof planes or surfaces separating intact blocks of rock. Geologically,these discontinuities are recognized as joints, faults, bedding planes, orcleavage planes. The strength arid deformation characteristics of a rockmass are both influenced by:

i) the physical properties of the intact blocks of rock, andii) the number and nature of the discontinuities bounding the

individual blocks.

The problem is, therefore, two-fold. In order to develop, ultimately, ameaningful system for evaluating in-place rock behavior at a potential con-struction site, it is logical to investigate, initially' the properties ofthe intact rock materials. Because of the discontinuous nature of a rockmass appropriate reduction factors should then be determined for applica-tion to the "upper limits" defined by the intact rock.

The present investigation is not concerned with the behavior andclassification of the in-situ rock mass with its inherent discontinuities.Rather, it is limited to the ficst phase of the problem -- the physicalproperties of the intact rock. Intact rock is defined herein as a poly-crystalline sol id., consisting of a natural aggregate of minerals, theproperties of which depend upon:

i) the physical properties of the constituents, andIi) the type of bonding of these constituents to one another.

Ii ii ii i i

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Rock corcs c, toinrd in e;,ploratcry drillinrg are normally the firstphysical evid-nc- s frc;;i which the engine-r r'V;y get an indication nf thenature of the substurfacc rock. The cores contain the intact rock materialsand also shcei cvidcrnce of soe-,a of the discontinuities. Consequently, properclassification of thcse cores is an imp•ortant step toward an understandingof the behavior to be expected. both during and after construction. Unfor-tunately, the qvcrl itative descriptions presently used (e.g., on boring logsin design, and in construction specifications for rock engineering projects,permit too bro-d an intcrpretation for universal engineering usage.

The identification and classification of the products of nature con-stitute an artificial procedure, because these materials are infinitely variedand do not lend themselves to separation into distinct categories (Peck,Hanson, and Thornburn, 1953). As a result, various arbitrary systems ofclassification have been developed, each with a particular purpose or appli-cation to a specific locale. As attempts are made to refine any of thesesystems, the system inevitably beccones more complicated and u;zimately morecumbersome so as to defeat the purpose for which it was intended. To avoidthis difficulty, it is desirable to make use of relatively simple systems ofclassification with small numbers of categories. Detailed information con-cerning any given rock (or soil) can be sunmnarized by stating numericalresults, known as index .. operties• of certain physical classification tests.If the classification tests are properly chosen, rock (or soil) materialshaving similar index properties, regardless of their geologic origin, arelikely to exhibit similar engineerin9 behavior (Peck, Hanson and Thornburn,1953).

The importance and usefulness of index properties for soil havealready been well established in the field of soil ri)echanics and foundationengineering. The desirability of similar procedures for rock is repeatedlydemonstrated in rock engineering problems. In order for an index propertyto be useful, it must have the following three general characteristics,whether it is used to describe soil, rock, or other engineering materials(Pomeroy, 1957; Deere, 1963a):

i) It must be an index of a material property which is usedby an engineer in solving a design problem.

ii) The test to determine the property must be simple, inex-pensive, and rapidly performed.

iii) The test results must be reproducible, within certainlimits, by different operators in different locationsusing standardized equipment and procedures.

2. OBJECTIVES OF INVESTIGATION

The objective of this research was to develop an engineering classi-fication system for intact rock, which has as its basis index propertiesthat are related to important physical properties of the rock. An experi-mental investigation was conducted in order to determine the physical andelastic properties of intact core specimens, representative of rock typesmost commonly en:ountered in civil engineering projects in the United States.Relationships among these various properti- iere studied, and the most

significant correlations were used in developing the desired indices.

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Because of its widespread arplicatiorn in mztals, and the promise ithas shown for other investigetors in rock, h6rdness in its various formswas of primary interest for possible use as en index property. The proper-ties of toughness, resilience, strength, and elasticity, are all involvedto some degree in hareness tests. The latter two, strength and elasticity(or deformability) , are the material properties which are of primary concernin the majority of civil engineering projects. Therefore, IV.th the indextests and the classification systcmn are directed towiard a relationship withthese properties.

3. SCOPE OF STUDY

In the following section, a -eview of existinq systems of rock classi-fication il presented. These consist of: (1) the most common, geologicalclassifications, (2) systems which give consideration to classification onthe basis of the physical properties of the rock substance, and (3) in situclass if icat ions.

Section Three deals with the concepts of hardness and their app ica-tion to rocks. The three basic types of hardness and their methods ofmeasurement are presented, along with some of the relationships previouslyfound between hardness and other properties. The relationship of rockhardness to drilling is also discussed.

In Section Four, a description of the 28 rock groups studied in thisinvestigation is given. The following 13 different geological rock typesare in,.luded: basalt, diabase, dolcmite, gneiss, granite, limestone,marble, quartzite, rock salt, sandstone, schist, siltstone, and tuff. Adetailed explanation of sample preparation is presented, in addition to adescription of all tests performed. NX-size, intact core specimens, withL/D ratios of 2:1, were subjected to the following laboratory tests: unitweight, Shore (scleroscope) hardness, Schmidt hammer hardness, abrasionhardness, absorption, sonic velocity stress-strain under cyclic loading,stress-strain to failure, and point-load tensile strengtK. A summary ofall test data is given in tabular form at the end of Section Four.

The test results are discussed and interpreted in Sect ic Five.Data plots are presented of those properties which show the most signifi-cant degree of correlation with other properties, or are of generalinterest. Least-square regression lines are shown on each plot, togetherwith the functional relationship, standard error of estimate, ead correla-tion coeificient. A comparison of static and dynamic properties of rock,as observed in this investigation, is also discussed.

Section Six presents the correlations from which the index proper-ties are defined, and proposes a system for the engineering classificationof rock. This system is used to provide qual itative descriptions in termsof compressive strength and Youngis modulus for intact specimens of rock.Classification is determined from numerical data obtained from index pro-perty tests, as described herein, or from actual laboratory measurements ofstrength and modulus. Estimates of the general range of strength and

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modulus vzitucs for various rock types can also be obtairnd from the chartsIn Sect icon S ix.

In tlkz lest section, the sumciary and conclusions are presented.Future rcsezrch vwhich appears warranted as a result of this investigationis also suo-csted.

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SECTION 2

EXISTIrWG SYSTEMIS OF RCIC CLA$SIFICATION

I. GENERAL

One of the primary purposes for rock classification in subsurface engi-neering and construction projects is to provide an effective means of communi-cation among the engineering geologist, laboratory and design engineers, fieldengineer, and contractor. The records (f underground explorations shown oncontract drawings furnish the basic data for contractors' bids. and duringperformance of the work form the basis from which all changed conditions mustbe evaluated. The responsibility for presenting an accurate description ofthe materials to be encountered rests with the design engineer and the engi-neering geologist. It is desirable that the characteristics of the rock whichwill influence the construction methods be clearly conveyed to the contractor.

For the engineer, the appropriate classification of both the rockmaterials and rock mass would greatly assist in making the initial appraisalof the project, and in pointing to the areas where additional engineeringinformation must be cbtained for use in arriving at the final solution tothe problem (Coates, 1964). Because of the important role of experience,especially in subsurface engineering projects, the individual experiences ofall engineers should be summarized into a body of knowledge that can bereadily assimilated; otherwise their value is lost to the profession. Properclassification of rocks (and other subsurface materials) into groups, withineach of which the significant engineering properties are somewhat similar, isthus an important step in connection with any foundation project (Peck,Hanson, and Thornburn, 1953).

This section is concerned with a description of some of the systemswhich have been developed for rock classification. Geological systems are,in general, most widely used. Other systems have been developed for particu-lar purposes, but are often limited in their application. Some systems areconcerned with the properties of the rock material only, while others aremore concerned with the continuity, size, and arrangement of the intact rockblocks (or slabs) within the rock mass. Still others give consideration toboth of these characteristics.

The following part of this section deals with geological classifica-tion. The next part is concerned with systems which given consideration todescription and classification on the basis of the physical properties of therock substance. The last part discusses rock classification systems whichare primarily concerned with tlie in-situ character of the rock mass.

2. GEOLOGICAL CLASSIFICATION

In its broadest geological sense, a rock is any naturally-formedaggregate or mass of mineral matter, whether or not coherent, constitutingan essential and appreciable part of the earth's crust (AGI Glossary, 1962).

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To the Ic:y' n arid -the eniineer (and, in truth, to most geologists), the term"rock" refers to any hard, sol id nwatter derived from the earth (Stokes andVarnes, i•I5).

A slnoIe scheme for clasrifying rocks thet Is both cc.2elte andpractical is presently rnot avaIla.le. Rocks ar, cl3s;ificd c6.2., ically,petrogrCAhically, or goi-,ctically, ei;aonding on the purrose of the classi-fication. Each basis has its own merits but none can fully cc-:nine theadvantages of all (NIuang, lf,2). A primary division of rocks into threegroups according to their genesis or mode of origin Is almost universal inusage. I.nLois rocks are the primary rocks formed by cooling of moltenmagmas, oi- by recrystallization of older rocks under heat and pressuregreat enough to render them fluid. If magmas cool beneath the surface, theyform intrusive rocks; marmas reaching the surface form extrusive rocks.Sedimentary rocks are the products of deposition of plant and animal

:1 remains (organic), and of m3terials formed by chemical decomposition(chemical), and of physical disintegration of igneous, sedimentary, ormetamorphic rocks (clastic). Ietamorphic rocks are those produced byInternal processes of heat, pressure, or permeation by other substances,acting on preexisting rocks of any kind. Metamorphic rocks are usuallyreferred to as foliated or nonfoliated.

Petrographically, the most important properties utilized for identi-fication and classification are texture, structure, and mineralogicalcomposition. Although there is no general agreement as to which physicalfeatures of rocks shall be included as textures, and wh;ch are to beregarded as structures, the term, fabric, is used to irnc!ude data fromboth categories. Spock (1953) refers to texture as the size and shape ofrock constituents, together with variation in these properties. Structurecovers the distribution and grouping of minerals and also the immediateeffects of their arrangement, such as foliation and bedding. Mineralcomposition is the fundamental basis in geological classification of rocks,because the actual units (minerals) of which rocks consist are used(Hunag, 1962).

Chemical classification is primarily useful for comparison of rockson the basis of chemical data in which each oxide is presented as a weightpercent. However, it is impossible to determine the character of a rockfrom a chemical analysis alone, since rocks of closely related compositionmay differ in origin, as well as in texture and mineralogy (Spock, 1953).

Detailed geological classifications are readily available in varioustexts deal ing with rocks (Grout, 1940; Spock, 1953; Huang, 1962). Travis(1955) presents in compact form the generally accepted conventions fornaming rocks on the basis of mineralogy and texture. Mielenz (1961) givesa mineralgic and textural classification of igneous rocks only.

Unfortunately, the above geological grouping and classification pro-cedures give little or no information concerning the engineering capabili-ties of the rock. For example, some limestones have compressive strengthsof 6,000 psi, whereas others have strengths of 36,000 psi. Or for example,the term "granite"may mean a hard, coherent rock. However, it is known

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that granite can be extremaly variable from location to location, dependingupon the various wethering conditions to which it has bezn subjected. Insome tropical cl imatcs, granites are wrathcrcd to such a ch ýroc that thWycan be excavated by hand with an ordinory shovel. Srndstor::. lso, m•, fallunder class if ictt iors susch as oorly cvcr:-.-ntod t:" to a.'tI 1ly cI.Iydsand" for the szrn,! rock, dz•ondinn u.clin thL backorounJ •;:J c;;.'d r ioncc of tkc•geologist assigning the classification. If the former of tVe two classifi-cations were used in the contract documents, the contractor would be preparedfor excavation by blasting--and probably no bracing. If the latter classifi-cation were used, the contractor would normally be prepared for excavationwith mechanical power equipment and extensive bracing. T1e cost and pro-cedures for either case are entirely different. These and other examplesclearly illustrate the limitations of a strictly geological classification.

3. CLASSIFICATION BY PHYSICAL C T. E.R OF ROCK KATERIALS

Some of the earlier ground classification methods used in mining aregiven by Harley (1926); he states that the factor that most influences allunderground operations is the physical nature of the "ground"with which themine operator has to deal. In the past, operations in mining were initiatedby using trial and error methods; many believed that the conditions under-ground made this method of approach inherently necessary. Post general forlocal usage were such terms as hard, medium, soft, easy-bret.king, et cetera.Other schemes. based upon rock names., were unsatisfactory because they didnot consider the wide range of mineralogical composition. te.-ture, weathering,and alteration, occurring in each rock type.

Harley (1926) proposed a scheme of classification which considered thefollowing physical characteristics:

i) unit weight,ii) degree of hardness,

iii) degree of toughness, andiv) occurrence of slips (or joints) in the rock.

This scheme was based upon the ft.-lbs. of energy required for drilling onecubic inch of rock, which was correlated to a grinding resistance obtainedby a small grinding machine. The hardest rock in the drill test was assigneda grinding resistance factor of 1.0 and a classification of A+; the softestrock was classified as Do., and the grinding resistance factor was somedecimal part of 1.0. There is no evidence that Harley's proposed schemegained popular usage.

Head (1951) proposed a classification of geological rock formationsbased entirely upon the relative efficiency with which the formations couldbe drilled with a small rolling-cutter type of test bit. The micro-bit wasabout 2 inches in diameter, and consisted of two rolling cutters (approxi-mately 1-inch diameter) mounted on opposite ends at a slight angle to theaxis of the shaft. The test bit was designed to facilitate the replacementof the cutters after each drillability test. The Drillability ClassificationNumber (DCN) was obtained by mounting the micro-bit in a lathe and measuring

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the time interval, in seconds, required to drill 1/16-inch dcpth Into asamrple of each forimation. Rotational speed was 110 rpm at a constantbit thrust of 1417 pounds. By using the average result of at least twotests, the relative drillabil ity wins establ ished for 15 rock formationsco,'ionly c•c.untcr•d In drill irn. The DC14 ran-nd from 1.9 for Wilcox sand-stone to 555.7 for tosston quortzite.

To determine whether or not this classification was consistent withresults obtained from actual bits, drilling these same formations under fieldconditionsP Ioad examined the performance of seven different types of bitsused in these formations in the field. He found that the rates of penetrationof the field bits fell in the same order as the rates of penetration of thetest bit (the DCN is inversely proportional to the corresponding rate of

penetration of the test bit). On the basis of these tests, Head concludedthat any rolling-cutter type of bit should drill all formations for which aDrillability Classification Number has been established, in the same succes-sion as the test bit, if chipping action occurs.

Hughes Tool Company, Houston, Texas, has developed an cmpirical, drill-ability classification chart on the basis of micro-bit data from samples ofthe same rock formations on which full-size bits have been run (Rollow, 1963).The estimated drilling rate of a new bit (in the field) is obtained by enter-ing the chart, using micro-bit drill ing rate and weight on the bit in poundsper inch of diameter. The micro-bit is 1 1/4 inches in diameter and is ofslightly different design than the one used by Head (1951). The bit is placedin a small, radial drill press under 200 lbs load at 55 rpm; air is used toremove cuttings. Each test consists of drilling 3/32 inch, with drillingtime recorded for each 1/32 inch drilled. The average drilling rate andcutter wear are calculated from the drilling tests.

The laboratory micro-bit test provides a basis for predicting rockdrillability from small samples. In oil-field work, where cores have beenchecked with the micro-bit, the results have been accurate within 10%. Theresults have been somewhat7 more erratic in the blast-hole industry, butstill usable. As Rollow points out, the micro-bit test is obviously validonly to the extent that the micro-specimen is representative of the whole.Also., the test procedure is reported to ignore several factors which affectbit life. The major limitation of this test for universal rock classifica-tion appears to be its specialized relation to particular types of equipmentand procedures for specific rock formations.

A scale of hardness applicable to rock material was given by thePanama Canal Company (1947). This scale was slightly modified and used forclassification of rock during construction of the Balboa Bridge (1959).The system is simple and is based upon the relative ease or difficultywith which intact rock can be broken. Although qualitative in nature, ituses terms familiar to all, providing a gradation from rock that can bebroken in the hand to rock that can only be chipped with heavy blows of thehammer. This classification scale is shown in Table 2.1.

The U. S. Army Corns of Engineers (1961) present a 'tuide for Classi-fication and Description of Rocks with Emphasis on Their Engineering Proper-ties," which is essentially qualitative in nature. The basic classification

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TABLE 2.1

SCALE OF ROCK Ha7,DN2SS

After Panama Caral Co-•7.rny (1959)

R11-i Soft Slightly harder than very-hard ovcrburden, rock-like character but crumbles or breaks easily byhand. (Some clay-shales and uncemented sand-stones and agglomerates.)

RH-I Medium Soft Cannot be crumbled between fingers, but can beeasily picked with light blows of the geologyhammer. (Some shales and slightly-cementedsandstones and agglomerates.)

RH-2 Medium Hard Can be picked with moderate blows of geologyhammer. Can be cut with knife.

RH-3 Hard Cannot be picked with geology harnmer, but can bechipped with moderate blows of the hammer.

RH-4 Very Ha-rd Chips can be broken off only with heavy blows ofthe geology hammer.

includes a symbol and a name for each of 24 rock types encountered on Corpsof Engineers projects. The physical properties of the rock ar,- designatedon the boring logs, either by word descriptions or by using the appropriatekey number or numbers shown on the guide for the applicable physicalproperties. There are 46 descriptive key terms which may be selected ascharacterizing the following properties: bedding, lithology, hardness anddegree of cementation, texture, structure, degree of weathering, solutionand void conditions, swelling, and slaking. Of the nine properties listed,only three are not directly concerned with material properties, i.e.,bedding, I ithology, and structure. These three are characteristics of therock mass.

A simple, quantitative procedure which can be correlated with in-situ and laboratory test results of the strength and compressibility of'rock is described by Hamrol (1961). In this procedure, the index ofalteration (a measure of the short-term water absorption of rock samples)is determined for a large number of samples over an entire site and, byusing the established correlations, the foundation area can be mapped interms of a particular engineering property (Rocha, 1964). This techniqueappears to be applicable primarily In differentiating zones of weathered andaltered rock.

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Deere (19$Tb) gives c,,,sis to those ccological fcaturcs which canbe observed in rock cores, and which appar to be significant in rock engi-neering. The significant fecturcs include those whlch hove a direct bearingon the ho.. .ene lty of the rock l,-ss with rcpc.ct to (1) var ict ions in hard-ness, and (2) physical disccntiAities. In the: routine longing of rockcores, it has bc.:n the custcrm to check tz;- [21rc!rdncss by noth ir,,g rror than aknife blade or geology pick. Since it is not thc sI ight diff"cdegree of hardness from one rock to anoth:er tL't is irysPortant, but ratherthe large variations, a relative term for hardr -; may bo satisfactory.In order to obtain a more meaningful nurmericcl hardneis value, Dere(1963b) suggests the use of a small version of the S('imidt concrete testhamm er. This procedure was recently reported by Knill and Jones (1965) forgranite cores from a dam in England. Although the impact numbers were notshown to be directly related to any engineering property, they clearlyreflect the decrease In the effects of weathering in the rock with depth.

From an engineering point of view, Deere (1963b), also suggests thata textural classification system eventually may prove to be of greater valuethan the normal, mineralogical one. He has proposed that most rocks can befitted into one of the following three textural groups: interlocking, cemented,laminated-foliated. Here, texture refers to the manner in which the consti-tuent grains are arranged and bound together (the petrographer's fabric),rather than reference to grain size.

Coates (1964) reviews the uses to be made of rock mechanics in engi-neering work, and lists five characteristics or properties which he con-siders to be most important for engineering applications. On the basis ofthe five characteristics, he proposes a classification system which recog-nizes that the rock substance (or material) has certain properties that canbe identified, but that the condition of the rock substance in-situ is alsoof great importance. The three characteristics which deal with the proper-ties of the intact rock material are listed as follows:

i) The uniaxial compressive strength is the property which

immediately indicates whether the rock substance is weakenough, with respect to the application, to be a source oftrouble in Itself.

ii) The pre-failure information characteristics of the rocksubstance Indicate whether creep of some nature could beexpected in the material itself, at stress levels lessthan those required to produce failure.

Iii) The failure characteristics of the rock substance, i.e.,brittle, or plastic, should influence the safety factorthat Is used in design' as well as precautions to betoken during construction.

The classification system proposed by Coates Is given in Table 2.2. It willbe noted that his system is based on both the material properties (Items 1-3)and the in-situ geological discontinuities (Items 4 and 5).

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TABLE 2.2

CLASS1FICATIGON OF ROCKS F0 ROCK 1ZCEAINICS

After Coates (1'1`1)

I. Uni ax•al cc'ressic,;• strcrr,,.thi of thL rcc¢k substancca. Vl-3k (less than 51C00~ pzI)b. Strong (bctween 5,000 psi and 25,000 psi)c. Very Strong (greater than 25,000 psi)

2. Pre-failure deformation of rock substancea. Elasticb. Viscous (at stress of 50% of uniaxial compressive strength the

strain rate is greater than 2 microstrain per hour)

3. Failure characteristics of the rock substancea. Brittleb. Plastic (more than 25% of the total strain before failure is

permanent)

4. Gross homogeneitya. Massiveb. Layered (i.e., generally including sedimentary and schistose,

as well as any other, layering effects which would produceparallel lines of weakness)

5. Continuity of the rock substance in the formationa. Solid (joint spacing greater than 6 ft.)b. Blocky (joint spacing between 3 in. and 6 ft.)c. Broken (in fragments that would pass through a 3-in. sieve)

4. CLASSIFICATION BY IN-SITU CHARACTER OF ROCK MASS

In the process of assessing the engineering behavior of rock, theengineering geologist and the foundation engineer are faced with the majorproblem of translating the significant geological . ervations into engi-neering terms. The information normally required by the engineer includesdata on the strength, compressibility, and permeability characteristics ofthe foundation rock. In addition, the existing state of stress, the ground-water conditions) and chemical stability of the rock may also be required.Of these characteristics, the first three and the last are properties ofboth the rock material and the in-situ rock mass. The existing state ofstress and ground-water conditions deal only with in-situ characteristics.

A classification system to be used for determining the appropriatekind and amount of support for tunnels in rock was proposed by Terzaghi(1946). In this system, rocks are placed in the following groups in

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decreasing order of cor,;-,ctcncy: intact, stratified, rnrodcratcly jointed,blocky and seamy, crushed, squcezing, and swell ing. A similar classifica-tion is given by Talobre (l&;7), except he has six categorics, zpparentlyomitting modorately jointr~d rock. Neither systcm is particularly concernedwith the properties of the rock m,:terial. On the other hand, the descriptionof the rock moss is fairly informative frcm a qualitative standpoint.

The U. S. Bureau o' trinos (W3'2) rcport that "thre typce of rock, itsphysical and geological cheracteristics, and the stress field before mining,determine, in general, the sizc and shcpe of underground openings that canbe used and the amnount of artificial support that must be installed." Aclassification system for underground openings in rock is given, in whichin-situ rock is divided into two main divisions as follows:

a. Competent rock -- rock that will sustain an opening withoutartificial support.(1) massive-elastic (homogeneous and isotropic)(2) bedded-elastic (homogeneous, isotropic beds with thick-

ness less than the span of the opening and little cohesionbetween beds)

(3) massive-plastic (rocks which flow under low stress)

b. Incompetent rock -- rock which requires artificial supportto sustain an opening.

As stated in the USBM report, the system is only for competent rocks, whichlimits its application to other than the specific purpose intended. Its usewould also be limited to engineers with considerable experience because ofits qualitative, rather than quantitative basis. It provides no numericaldefinition or other means for determining whether or not a rock is competent,or to what degree.

A rock classification chart based on joint spacing and weatheringhas been developed by the Austrian school of rock mechanics (John, 1962).This chart relates two of the important factors governing the bulk strengthof a rock mass. These factors are the spacing of the geological joints, andthe degree of decomposition (weathering) and resulting compressive strengthof the rock material. The rock material is divided into four descriptiveclassifications as follows:

Type I - SoundType II - Moderately sound, somewhat weatheredType III - Weak, decomposed, and weatheredType IV - Completely decomposed

Numerical limits for rock strength are assigned to each of the above cate-gories. A chart of this type will be useful for classification if thedescription of the rock composition can be made quantitative and reprodu-cible for all rock types (irrespective of the project site), and can berelated to the engineering properties of the rock.

Estimation of the degree of jointing (or soundness) in a rock mass maybe obtained by use of seismic tests (Onodera, 1963). A laboratory seismic(sonic pulse velocity) test performed on an intact rock specimen is unaffected

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by the discontinuities present in the field. The field seismic wave, on theother hand, will be affected by the discontinuities in the rock mass throughwhich it travels; the greater the degree of jointing, the lower will be theseismic velocity. The ratio of the field seismic modulus (a square functionof the seismic velocity) to the laboratory seismic modulus can, therefore,be used to estimate the degree of jointing. For an unjointed rock mass, theratio is assumed to be unity, i.e., the field velocity is the sa,-m as thelaboratory velocity (assumning no sanmpl ing disturbance and idcntical moistureconditions). For a jointed rock mass, the ratio will be less than unity.

Onodera (1963) presents a classification which correlates the degreeof jointing and weathering with the seismic or "Jsoundness"E ratio. Thisprocedure includes both the properties of the rock material as well as thediscontinuities which affect the mass behavior. Descriptive geologicaldiagnostics are also given by Onodera in which the rock is graded from excel-lent to bad, and assigned corresponding alphabetical symbols from A to E,respectively. He also suggests that a similar concept may be appl ied torock simples from a given site in which an "ideal' specimen is assigned theideal modulus as determined from a laboratory, sonic velocity test. Otherspecimens with lower modulus values are downgraded accordingly.

A Rock Quality Designation based on rock hardness and fracturefrequency, as determined from rock core examination, has been developedin an attempt to general ize the average, in-situ rock qual ity (Deere, 1964).In this method, the length of sound, relatively unfractured core per lengthof core-hole is determined, by considering only core which has a certainminirum hardness, and which is longer than 4 inches. The rock is then ratedin designations of Excellernt, Good, Fair, Poor, in descending order of rockqual ity, based upon the percentage of sound core obtained from the boring.A rock which is soft or weathered, a closely jointed rock, or a rock fromwhich the core recovery is low, would fall into the Poor to Fair category.A quantitdtive method for evaluat'ng rock hardness is desirable in orderfor this scheme to be rel iably used by inexperienced personnel.

Because of the complex relationships which exist between various rocktypes at a dam-site in the Sudan, four separate grades of rock conditionwere utilized by Knill and Jones (19G5) as follows:

Grade I : Fresh rockGrade II : Sl ightly weathered rockGrade III : Highly or moderately weathered rockGrade IV : Completely weathered rock

They report that by this means it was possible to group togethcr rocks ofdifferent types which have similar engineering properties. Slopes cut inGrade IV rock disintegrate under wet conditions to angles between 25* and 30%This rock can be excavated mechanically and, generally, can be dug manually.Grade III rock was usually excavated by blasting; slopes up to 10 metershigh were stable, apart from minor spalling. Rock in both Grades I and IIwas excavated by blasting and, in general, the sounder rock required lessexplosive than that needed to excavate a similar volume of Grade II and IIIrock. The four grades of this system are similar to the types proposed byJohn (1962). For exploratory purposes, the method for assigning a rock to

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any particular grcde, above, appears to be one based upon expcrience, thusrestricting Its universal applicability.

The difficulties to be encuntered in obtaining a universal engi-neering classification system for rock cannot be over-emphasized. Geologicalclassification systcms, while providing a basis for naming and describingrocks, contain little Information or relationship with the rock propertiesimportant to their mzchanical b3hIrvior. The specific purpose for which aclassification system is developcd obviously plays an important role indetermining whather the ermphasis is placed on the material properties of therock substance or the continuity of the substance in the rock mass. It isimportant that the process of Ln•Iysis of a particular problem be made fromthe point of view of the proposed service of the rock. However, the basicdata from which the engineering evaluations are to be made should be aninherent property of the rock (both material and mass), and should be deter-mined from standardized procedures. The same rock should have the sameclassification regardless of how it is being used (Coates, 1964). For eachtype of information, a systematic collection of the data, correlated withengineering experience through a consistent system of classification, canlead to improved methods for predicting rock behavior.

It is clearly seen that a universally acceptable engineering classi-fication system for rock should indicate both the properties of the rockmaterial and also the in-situ characteristics of the rock mass. Becausethe rock-mass cha.acteristics involve both the material properties and thegeological discontinuities, a meaningful system for in-situ classificationis not likely to be developed without also evaluating the behavior of therock substance. Thus, the investigation described herein is limited to thefirst phase of Zne problem -- the physical properties of the intact rock.This study is not concerned with the behavior and classification of thein-situ rock mass with its inherent discontinuities.

The next section deals with one of the more important physicalcharacteristics of the intact rock material. The concepts of hardnessand their application-to rocks are presented. The three basic types ofhardness (i.e., abrasion, indentation, and rebound) and their methods ofmeasurement are discussed, along with some of the relationships previouslyobserved between hardness and other properties.

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SECTION 3

HARDNESS OF ROCKS

1. GENERAL

For the past 65 years or more, engineers and metallurgists have beenmaking hardness measurements of metals as a means for assessing their generalmechanical properties. Because of the apparent connection between hardnessand other properties, simple hardness measurements on the surface serve as anindication of the bulk properties of the material. This application has beenextremely valuable in metallurgy; its usefulness for rock materials also showsconsiderable promise.

Hardness is one of the most investigated properties of materials,and yet it is also cie of the most complex to understand. As has beenpointed out by many investigators (Obert et al. 1946), hardness is anelusive property; the concept of hardness does not lend itself to exactdefinition in terms of the customary physical units. A numerical valueof hardness is as much a function of the kind of test used as it is amaterial property.

The term hardness, when used as a technological property of materials,is primarily associated with the surface (Richards, 1961). Mineralogists were

among the first to be concerned with hardness because of its close associationwith the resistance of prccious stones to surface scratchinq and abrasion.The hardness cf a mineral is defined by Dana (1932) -as "'the resistance whicha smooth surface offers to abrasion." This connotation was carried over tometals with the development of alloys that could be hardened for highabrasion resistance. If the material is uniform in composition and structure,the surface constitutes a layer only a few atoms thick and loses wuch of itsimportance. Thus, in the usual means of measuring hardness, any such thin-surface layer is penetrated and the hardness of the bulk of the material ismeasured.

In general, hardness implies the resistance to deformation. Richards(1961) defines technological hardness as "the resistance of a material topermanent deformation of its surface." When metals are deformed or indentedthe deformation is predominantly outside the elastic range and often involvesconsiderable plastic or permanent deformation. However, in dynamic hardnessmeasurements, the elastic properties may be as important as the plasticproperties. In all types of hardness, the properties of toughness,resilience, strength, and elasticity are involved to some degree.

Rock hardness is considered to consist of the resistance of rock tothe displa':ement of surface particles by a tangential abrasive force, aswell as its resistance to a normal, penetrating force, whether static ordynamic. Rock hardness depends on substantially the same factors as tough-ness. Toughness is governed by the efficiency of the matrix in bindingtogether the grains or minerals comprising the bulk of the rock. In addition,rock toughness is a function of the grain strength or mineral toughness. The

15

Page 35: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

1i~ f ,.' •,,• ¸ • ,• ,• '% tJ•AL' _.,~bf.Wt !f ,•• • ,r. -- -•lx ' - • ... '••

toughest rocks ccr,;rise those having strong minerals cf'cbeddcd in a strongmatrix or ccm,--nt (Shcpherd, 9I5l). Coth hardnesb and tov'hncss d2pond onthe type of binding forces betw:en atc:.;s, ions, or riilecules and increase,like strength, with the rmonitud-, of t~ies forces. Coth prcertics arealso closely related to the yield strcngth of the mtcrial (Jastrzcbski,

2. TYPES OF w2ES•'$S APD THEI R rE:TH4 OF IAMe2•4T1I

No other tests on materials approach in numbers the tests made underthe name of "hardness tests" as the criteria whereby materials .may beclassified or selected for special purposes (Williams, 1942). Hardnessmeasurements usually fall into three mnin categories: abrasion or scratchhardness, indentation hardnessP and rebound or dynamic hardness. Forlaboratory study of rocks, some form of abrasion hardness and the sclero-scope rebound hardness have been investigated to the greatest extent.

a. Abrasion hardness

(I) Mohs' scale

Since 1824, Mohs' scale of hardness, although only relative innature, has been accepted universally as the method of measuring mineral,and therefore, rock hardness. By use of Mohs' scale, the relative hardnessof a mineral can be determined. This scale consists of a group of mineralshaving increasing hardness values from I to 10. Each mineral can bescratched by those that follow it, and will scratch the preceding ones inthe scale. Minerals I and 2 can be scratched by the fingernail; those 3to 5 by the point of a knife, 6 cannot be marked by a knife but can by asteel file. Number 7 can scratch glass, 8 scratches the file, while 9isonly scratched by the diamond, which is assigned the highest hardnessnumber of 10.

Tabor (1954) showed totat the Mohs' hardness scale gives scratchhardness values which correspond to fairly well-defined indentation hard-ness values. Each increment on the Mohs' scale corresponds to a 60%increase in indentation hardness, excluding diamond. which is anomalous.This regularity in behavior suggests that Rohs did not simply choose "tencommon minerals arranged in order of increasing hardness," but experimenteduntil he had satisfied himself that he had obtained "equality of intervals."

Table 3.1 lists the minerals representing the ten steps of the.

scale, together with their crystal structure (Zwikker, 1954).

(2) Rock hardness based on mineral composition

Mohs' scale is obviously applicable only to minerals havinghomogeneity. Each rock consists of several minerals; scratch tests basedon this scale are useless for determining the hardness values of hetero-geneous bodies. Shepherd (1950) cites a method for measurement of compositerock hardness, based on mineral hardness as obtained by the Mohs' scale.

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TABLE 3.1

MOHS' HARDNESS SCALE AND CRYSTAL STRUCTURE

After Zwikker (IS-ý)

Mohs' I-ardnessNumber, Hij Mineral Formula Crystal Structure

I Talc 3MgO.4SiO 2.H20 Layer

2 Gypsum CaSO 4 . 2120 Layer

3 Calcite CaCO3 Layer

4 Fluorite CaF 2 Ionic

5 Apatite CaF 2 .3Ca 3 P208 Ionic

6 Feldspar K20 .Al 203. 6SiO2 Mixed ionic-covalent

7 Quartz SiO2 Mixed ionic-covalent

8 TopaL (AIF) 2SiO4 Mixed ionic-covalent

9 Corundum Al. 203 Covalent

10 Diamond C Covalent

This is done by multiplying the percentage of each mineral in a rock bythe Mohs' mineral hardness and dividing by 100 as follows:

H = S xM (3.1)

100

in which H = hardness of the rockS - percentage of mineral presentM - Mohs' number for the mineral

Thus, in a rock containing 74% quartz (7), 6% feldspar (6). and 20% mica (3),the rock hardness would be 6.14. There are obvious disadvantages attachedto this method as a difficulty lies in obtaining 3 true estimation of themineral content, and errors in measuring hard-mineral content may seriouslyaffect the final results. Moreover, the type and strength of the mineralbonds, which are very important in determining aggregate hardness, are notconsidered in the procedure.

(3) Dorry abrasion test

A standard test for determining rock hardness, which was developedby the Office of Public Roads and Rural Engineering, U. S. Department of

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Agriculture. is the Dorry test (Jackson, lPl6). The Dorry hardness test isperforvzd on a cyl indrical s I ;el of rock, 25 mm. in diamýeter, which is heldagainst a revolving, cast-steel disk under a pressure of 250 gins. per sq. cm.(total load 1,250 gs.). Standard crushed quartz, sized betvween 30- and 40-mesh scrcens., is fed upon the revolving disk. Each end of the specimrn isworn e,,::,:y in inverse ratio to its hardness. The loss in w.,icht, obtained byeveraging both ends after 1,000 revolutions of the disk, is an inde,.x of thehardricss of the spoclrý:ýn. In order to cc.Lcpare the results with otherabrasion tests, the hardness coefficient is calculated by subtracting one-third of the loss in veight fr¢oa the constant, 20. Hardness values fromthis test compare remarkably well with those obtained on the basis ofmineral composition (Gyss and Davis, 1927).

(4) Deval abrasion test

This apparatus consists of one or more hollow, cast-iron cylindricalbuckets, 20 cm. in diameter, and 34 cm. long. These closed buckets are mountedtogether in a frame which supports them at an angle of 30 degrees to a hori-zontal axis of rotation. The test sample usually consists of about 50 piecesof broken rock weighing 5 kg. After revolving the cylinders 10,000 times at30 rpm, the amount of material finer than 1/16 in. is obtained and expressedas a percentage of the original weight of the sample. The French coefficientof wear is likewise used in reporting results and is calculated by dividingthe number 40 by the percentage of wear. The standard method of test forabrasion of rock by the Deval machine is given by ASTM Designation: D 2-33.

(5) Other abrasion tests

(a) Burbank (1955) describes a device for determining the relativeabrasiveness of rocks, minerals, and ores. It cc.nsists of a steel, single-paddle impactor turning on a shaft at 632 rpm. The paddle strikes a columnof rock particles (4 lbs. per test) failing away from an outer, slowlyrevolving, 13-inch-diameter drum. The loss in weight of the paddle, duringcontrolled test conditions, represents the abrasive action of the rock.

(b) A tentative method of test for abrasion resistance of concreteis given by ASTM Designation: C 418-64T. This test consists of subjectingthe concrete to the impingement of air-driven, silica sand.

Wc) Tentative methods of test for resistance to abrasion of small-and large-size aggregates by use of the Los Angeles Machine are given by ASTMDesignations: C 131-64T and C 535-64T, respectively.

(d) A tentative method of test for relative resistance to wear ofunglazed ceramic tile by the Taber Abraser is given by ASTM Designation:C 501-62T.

(e) A standard method of test for resistance of transparent plas-tics to surface abrasion is given in ASTM Designation: D 1044-56. Thisinvolves the measurement of the optical effects produced on transparentplastics by the Taber Abraser.

(f) A standard method of test for plastic materials to withstandmechanical abrasive action such as rubbing, scraping or erosion, is given inASTM Designation: D 1242-56.

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Page 38: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

(g) A tentative test method for Bierbaum scratch hardness ofplastic materials is given in ASTH Dosignation: D 1526-58T. A known weightis applied directly above an accurately-ground, diamond point, mounted onthe end of a leaf spring. The speciri,:n is moved laterally causing thepoint to cut a groove in the surface. The index of hardness is calculatedfrom the weight appl icd end th- rý.:asurcd width of the groove.

b. Indentnt ion h)r cn. F..

Since about 1900, a wide variety of penetrator sizes and loadingdevices have been used for the static indentation hardness of metals, inwhich the depth, area. or diameter, of an impression under a known load ismeasured. Summar;es of these and comlparisons of several of the standardtests are given by Devries (1911), Lea (1936), Williams (1942), and Tabor(1951). Essentiallv, three penetrator shapes are used in all of thesetests; indenters are either spherical, conical, or pyramidal. Sphericalindenters are used in the Brinell and Rockwell tests; conical indenters areused in the Rockwell and Ludwik tests; and pyramidal indenters are used inthe Knoop ard Vickers tests. Loading varies from as little as 7kg. in theVickers test (Brace, 1960) tc as much as 3,000 kg. in the Brinell test(Tabor, 1951). A description of the standard method of test for Brinellhardness of metallic materials is given by ASTM Designation: E 10-65.Standard methods of test for Rockwell hardness and Rockwell superficialhardness of metallic materials are given by ASTM Designation: E 18-65.The standard method of test for diamond pyramid hardness of metallicmaterials is given by ASTM1 Designation: E 92-65.

More recently, indentation hardness tests have been performed onminerals and rock materials. Knoop, Peters, and Emerson (1939) determinedthe Knoop hardness numbers for the standard minerals of Mohsa scale. Thehardness ratio of diamond and quartz on this basis is 8:1 rather than 10:7as given by Mohs' scale. King and Tabor (1954) compared hardness withcompress iye strength of hal ite. Brace (1960) reports indentation tests onpolycrystalline, monomineralic. isotropic samples of four rock types usinga V'ckers indenter, with loads from 7 to 75 kg. Kraatz (1964) performedRockwell hardness tests on samples of 24 different rocks from the presentstudy.

Another type of indentation tester is the durometer. This isdescribed in the standard method of test for indentation hardness of plastics,ASTM Designation: D 1706-61.

c. Rebound or dynamic hardness

Dynamic hardness of a material may be defined, by analogy with statichardness, as the resistance to local indentation when the indentation is pro-duced by a rapidly moving indenter. In most practical methods, the indenteris allowed to fall under gravity onto the surface. It rebounds to a certainheight and leaves an indentation in the surface.

A review of the literature on rebound-hardness testing of materials,indicates that several methods have been developed and put to various applica-tions. Greaves (1909) describes the Shore scleroscope, in which the relative

19

Page 39: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

height of rebound of a dlE.ond-tlpped her-.er fall ing freely on a horizontal,plane surface, is a nmeasure of the hardness of the matcrial. Griffith (1937)end 01ert ot al. (Slt;) used the sclroscop3 in obtaining hardness values intheir studies on the physical propertics of rock. U!olansky (1I 04"C) reports useof the sclcroscope in GCrmnny in an attempt to obtain rcliable and ccr;••arablevalues for the herdn.ess of rock, prticularly with respce:ct to drillability andworkability. Shepherd (010) used the Shore sclerosccc-'e for rock-hardnessmeasureTur, ts in stu,.dy ing physical prcý,ertics and drill ebillity of rock.Vluerkc.r (1553), in plotting data fro:• the U. S. Bureau of tMines for a groupof more than 100 rocks, gives thrce equations for describing the relation ofcompressive strength to Shore hardness. tie further suggests that since thescleroscope test is fast and inexpensive, it could be useful for determiningstrength and other physical data, outside of the testing laboratory. Kapadia(1951) correlated scleroscope hardness with elastic and strength characteris-tics of a limited number of rock types. Gilbert (1954) determined the sclero-scope hardness of single crystals of 1Mohs° scale mineral, and found an approxi-mate, linear relationship, in the range of two to seven, inclusive. Harvey(1963) describes a specially-designed instrument for determining the relativeimpact resistance of limestones and dolomites of various textures. He con-cluded that the resistance to impact for these rocks is controlled by theporosity and size of crystals composing the rock.

3. TOUGHNESS AND RESILIENCE

Because of the apparent connection between hardness, toughness,resilience, strength, and elasticity, it is appropriate to discuss brieflythe properties of toughness and resilience.

a. Toughness

Toughness primarily reflects the ability of a material to absorb energyduring plastic deformation. In a static test, this energy is measured by thearea under the stress-strain curve, which represents the work required tofracture the test specimen. The specific property, modulus of toughness, isthe maximum amount of energy a unit volume of the material can absorb withoutfracture; it is expressed in inch-pounds per cubic inch. The modulus oftoughness, Mt, can be estimated, for materials that indicate a parabolic-shaped stress-strain curve, i.e., cast iron, concrete, et cetera, by mult;-plying two-thirds of the ultimate strength, ca(ult.), by the strain atfailure, Ef, as follows:

Mt - 2 °a (ult.) x ef (3.2)

It can be seen that materials of high toughness must have high strength andhigh ductility. Brittle materials usually have low toughness since they showonly small plastic deformation before fracture (Jastrzebski, 1959).

A simple method for measuring the impact toughness of rock isembodied In the Page impact machine. The impact test is made on carefullyprepared cylinders of intact rock, 25 mm. high by 25 mnm. in diameter. Aweight of 2 kg. Is permitted to fall vertically between parallel guides,upon a spherical-ended plunger weighing 1 kg., which rests in contact withthe specimen. The height of the first blow is I cm. and each successive

20

Page 40: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

blow thereafter is increased in hcight by 1 cm. The height in centimetersof the blow at failure is recorded as the toughness of the material. Thestandard method of test for toughness of rock by this method is given inASTH Designation: D 3-18. Obert et al. (19146) uscd ihis procedure, withslight modification, in standardizing tests of mine rock.

From data obtained by the U. S. Dcpartn;2nt of Agriculture with the::Page impact machine, Gyss and Davis (1527) have ccw-,piled a table co.Fyer ringrelative values of toughness with relative wear (i.e., relative resistance towear). These data are plotted in Figure ^.. The property of rock toughnessis also seen to be related to rebound hardness. This is indicated by therelationship in Figure 3.2 between abrasion and Shore hardness, since bothFigures 3.1 and 3.2 have a measure of abrasion hardness plotted as theordinate.

b. Resil ience

"11he capacity of a material to absorb energy in the elastic range isdesignated as its resilience" (Jastrzebski, 1959). The modulus of resilienceis equal to the area under the elastic portion of the stress-strain curve andis defined as the strain energy absorbed per unit volume when the material isstressed to its proportional limit. The two properties, strength (here yieldstrength) and elasticity, which seem to influence resistance to compressionmost, both occur in the following formula for modulus of resilience:

Hr 2E (3.3)

in which M is the modulus of resilience in inch-pounds per cubic inch, and•a(y) is t~e yield strength. This equation indicates that for a high modulusof resilience the material should have high yield strength and low elasticmodulus.

The term resilience should not be confused with modulus of resilience.Within the proportional limit, the resilience is equal to the external workput into a material during deformation. Thus the total resilience of amaterial is the product of its volume and the modulus of resilience (Eshbach,1952). A low resilience is desirable for good damping, and high resiliencefor low internal heat generation (Richards, 1961).

The moduli of resilience in compression, of some typical rocks testedby the U. S. Bureau of Mines (Windes, 1949), are represented graphically inFigure 3.3. The sample of concrete of conventional mix is shown for purposeof comparison. The values of the moduli of resilience of the various speci-mens in the plot are:

Rock Mr (in-lb/in 3)

J -: *! ite 448.0He,' tite ore 134.0Amphibolite 124.5Ma; lle 66.3Sand'stone 62.5Concrete 5.0

21

Page 41: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

I) LirrzzýIc' s1for bch vcrlazz

- 0 Sc i'ý-tr rc2c - -

a I~.srcclýýsA

2.0

C,

0 0

0

0

a

0

0

I.2

I00A

0 0

(Data from Gyss 8 Davis, 1927)

0 0 1 I 1 I0510.52.0 2.5 5.0

Relative Toughness (Pcge Impact Test'#

FIGURE 3.1 RELATIONSHP DETWEEN RELATIVE VALUESOF IMPACT TOUGHiESS AIND WEAR RESISTANCEFOR ROCK

22

Page 42: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

-'-r-"~r~~s~rs48 jt 4o Scd~r.,:ntory roV!,s 4 1o tgr~z..z 3 rocks3I

h~l J

__0 .J-a- i __

o ID 0

- 00I0

2000 0l

0 0 0 t A0a

0 0 ) A A

C-5 _ M-4---- __

~o 000 A 0 a]

0 0 0 000

5~~b 0. -Q..

00

0 C 0 0 A a_ _

(Doto from USCM, 944ý- 1956)

0 20 40 60 80 1OO 120Shore Hordmn;:5, Sh

FIGURZE 32 RELATIONSHIP CETWEENJ SHOý`ZUU AY'Z3 ~DADR ASIO'NHARDNESS FOR ROCK(

23

Page 43: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

Ito hlodui,, of

Josp i Ifteg 0 Herna ftit, r (448 )

so

~70

4,

40

30

20

to

0 0 -(6663520--u

FIGURE 3.3Strain, incheslinCh 10-4' 2FIGUFT3S3TEDJL

By Ri I IE OF SO M'E TYPICAL R~OCKSTueSTeD U-S. BUREsAU OF WIVES (AfterWuerer1953)

24

Page 44: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

The concept of strain-energy expresscd by Mr, which is equal to the areaunder each of the stress-strain diagrams herein, shows clearly the influenceof the two variables, strength and elasticity, on the failure of these parti-cular rocks. Although the marble and the sandstone have about the samemodulus of resilience, it is evident from the generalized stress-straindiagrams in Figure 3.3 that the former sustains a much higher load and asmaller deformation. The overall energy in either case is theoreticallyabout the same. It should be noted thet only in exceptionl cases (in thestatic determination of the mcdulus of elasticity of rocks) are straight-l inerelations between stress and strain obtained (Wuerker, 1953).

4. HARDNESS AND OTHER PHYSICAL PROPERTIES

Because of the highly complex state of stress around an indentation,there is no way of relating hardness measurements to each other, or to othermechanical properties on the basis of theory. However, in view of theirsimilarities, different types of hardness numbers can be related to eachother empirically for any given material. Qualitatively, we might also expectsome sort of correlation between hardness and other properties involvingabout the same amount of deformation (Richards, 1961).

a. Relationship between abrasion hardness and comnressive strength

Data obtained by the U. S. Bureau of Mines (1949-1956) are plotted inFigure 3.4, and indicate a reasonably consistent proportional ity betweenabrasion hardness and compressive strength. This plot is remarkably similarin shape to Figure 3.2. It can be concluded from these plots that compres-sive strength and Shore (scleroscope) hardness may be linearly related.

b. Relationship between indentation hardness, compressive strengthand modulus of deformation

Brace (1960) compared the indentation hardness and compressive strengthof limestone, marble, anhydrite, and artificial rock salt. He used a 1360Vickers pyramidal indenter which produces an approximately hemispherical,deformed zone beneath the surface indentation. By means of model analysis andelastic theory, approximate stress and strain fields were determined for thedeformed zone, from which average values of stress difference, confiningpressure, and strain were determined. These three quantities zgreed fairlywell with a point on a stress-strain curve obtained from a confined compres-sion test of a cylinder of the same material. Brace concluded that, fornearly all incompressible isotropic materials, strength is about one-thirdof the hardness (kg/mm 2); and that for rocks, this strength is the stressdifference which can be supported at a confining pressure of about one-sixthof the hardness.

Kraatz (1964) performed Rockwell tests using a major load of 150 kg.and a 1/2-inch diameter steel-ball indenter. He found an approximatelylinear relationship between compressive strength and Rockwell number forrocks having strengths of less than 12,500 psi. Similarly, a linear rela-tionship was indicated for tangent modulus values below 6 x 106 psi. Abovethese limits. the Rockwell number remains essentially constant irrespective

25

Page 45: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

I 0 Sz ityrcs,.Is 1

0 a

25- -

a~ a

c -- 0 -a _0 a 0 00

Q - - - -0 13-A O- ~A 1 00

10 - 0 - D- -j - - -I -o VoA. 0 0

aaa2 0- - c

o 0 A 0

2 0

0 (Data from US8M, 1949-1956)0102 040 50 60

Compressive Strcngth, o%(ult), psi x le~FIGURE 3.4 RELATIONSHIP BEETWEEN AB3 SZCM.N HARlDNESS AN40 Ul-TINATE

COMPRESSIVE STRENGTH1- FCR R 0, ;li' W:: X;AL CCOfESS ION

26

Page 46: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

of increased strength and modulus. Kraatz concluded that the effective

range of the Rockwell equipment was exceeded above these limits.

c. Relationship between rebound hardness and comrpressive strenqýtbh

Griffith (1937) obtained data on the physical properties of approxi-mately 100 typical American rocks, and formulated much of these data analyti-cally into simple working forrnules. In correlating the uniaxial com~pressivestrength data with rebound hardness, as determined by the Shore scleroscope,Griffith suggested the following relation:

Sc - 300 H (I +± ) (3.4)

in which S. = compressive strength in psiH - scleroscope hardness in scleroscope units

The data obtained by Griffith are replotted in Figure 3.5. Griffith'ssuggested "average" line is shown, although different symbols have beenused for the two parameters as follows:

%a (ult.) - 300 Sh (3,5)

in which Ua (ult) = compressive strength in psi

Sh = Shore (scleroscope) hardness in scleroscope units

The same variables have been plotted from a group of nearly 250 rockspecimens, tested by the U. S. Bureau of Mines (19/49-1956). Wuerker madethe same plot in 1953 for the first 100 of this group. Figure 3.6 indicatesthat the average relation between compressive strength and Shore hardness isdescribed by the equation:

a (ult.) 400 Sh (3.6)

Griffith's formula forms a lower limiting range for these rocks, while theupper range, as suggested by Wuerker (1953), is formed by the line:

% (ult.) - 500 Sh (3.7)

Many of the very high strength rocks tested by the U. S. Bureau of Mines lieabove this. and suggest (as Wuerker did) that a parabola would probably fitthe plotted values better than a straight line.

The L/D ratios of the USBM specimens were 1:1. If we assume thatGriffith's specimens were 2:1, and apply the correction recommended by ASTMDesignation: C 170-50 for relating the compressive strengths of specimensof different L/D ratio's, the average line for the Griffith data is:

% (ult.) - 340 sh (3.8)

This is in somewhat better agreement with the USBM data for the lower Shorevalues; however, equation (3.6) provides the better average relationship forall values.

The Shore (scleroscope) hardness test is rapidl' performed, inexpen-sive, and nondestructive. These data suggest the desirability of attemptingto establish the general application of this test, or one of similar nature,

27

Page 47: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

-o --------- 10 ,edi.-i""'tcry rodks

. 0 -__ . -. .

050 - -- - - - _ _ _ - - - -

500

cp

0.0

.13

C . O r a \,,E 3 0o so

0 A 0 0

c 00, 30 A

0 o" % 1CPA . ~ 0 0 0

FI U R w ( 0o to from Griffith, 1937 )

0 20 40 60 80 too 10Shore ,iTrdna25, Sh

FIGURE 3.5 RELATIONSHIP BETWEEN SHORE HARDNESS AND ULTIMATECOMPRESSIVE STRENGTH FOR ROCK IN UNIXIAL COMPRESSION

28

Page 48: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

90

0 Sedirnntary roc hs

0 Igncous renc

A

eoo

700 0

o .60'- I

CL -- A, - __

0 0 0 0 o,50- ------ 10 00 c~

01 0

AJ 0

40

0A 0

E Mb0o 0 X0 ,o,ooooC . -.

20 10t] ,

0 O0 0O AA

Shor 4od,00, A•

0& 08A

A 0 0

10 0

'0

0 040 60 80 100 120

Shore Hordrins, ShFIGURE 3.6 RELATIONSHIP CETWEEN SHORE HARDNESS AND ULTIMATE

COMPRESSIVE STRENGTH FOR ROCK IN UNWlAXIAL COMPRESSION

29

Page 49: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

for estim.,tIng other physical prc.mrtkes of rock. The significant relation-ships c•lýht tt-en be used as a basis for an engincering classification forIntact rock speclmnns.

Economiic and efficient brcnkinq of rock is governcd to a very greatextent by the successful application of rock drills, whether they consistof the percussive or rotary type. Cecause of the many variables involved,this subject has been scilewhat difficult to interpret by fixed rules governingthe amount of energy that must be used to drill any particular rock stratum.So-called '"ard rocks" have been drilled easily compared with softer rocksbecause of their more brittle and chipping characteristics. For example, ahard igneous or metamorphic rock may be drilled more efficiently than a com-pact I imestone (Shepherd, I"50).

The word hardness as used in the drilling industry, has a variety ofmeanings which depend upon the type of drilling method employed. The term,"hard rock", is generally used to describe a geological formation which forany reason is difficult to drill, In diamond drilling, hardness is inter-preted as resistance to abrasion. In percussion drilling, the term impliesresistance to impact or indentation; while in rotary drill ing, hardness isconsidered as analogous to compressive strength. Although these may be con-flicting variables for different types of rock, the term hardness is appliedindiscriminately by the industry for the resistance of rock to penetration by

any type of drilling technique (Mather) 1951).

The volume of blast- and bore-hole drilling done in the mining, oil,and construction industries is exceedingly great. Hence, the problem ofincreasing drilling efficiency takes on a great deal of significance.Drilling efficiency depends on the mechanical properties of rocks, thedrilling tools, and the men who do the drilling (Protodyakonov, 1963).Extensive research has been conducted by manufacturers of various drillingrigs, drill steel, bits and other equipment. in order to determine the mostsuitable types for drilling in certain strata. However, until the last 15years or so, very little research has been concerned with the more fundamentalaspects of drilling and the influence of the physical characteristics of rockon the vague property "drillability."

Some of the studies which have dealt with this problem have beenconcerned with the basic processes by which energy is transmitted throughthe system into the rock during percussive drilling (Hartman. 1959; Fair-hurst., 1961a). Others discuss the mechanism and fundamentals of rockfailure under impact and percussion (Pennington, 1954; Singh and Hartman,1961); and the mechanics of rock penetration and fragmeretation with bothpercussive and rotary drilling systems (Fairhurst and Lacabanne, 1957;Cheatham, 1958; Appl ard Gatley, 1961). Correlation of physical propertytests with force-displacement data was used by Reichmuth (1963) as the basisof a new theory concerning the sequences of failures produced by penetrationof a wedge into brittle materials.

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Some investigators have felt that although a kncriiledg: of the physicalproperties is helpful, In general, physical prcperties are not a reliableguide to drillabil ity. Rollow (1963) sucoested that the best way to measureformation drlllability, with respect to rolling cutters, is to "drill withroll Ing cutters." C. describes a I cboratory test, w!,Trcby drillability canbe pred icted on the bas is of drill ing srnl II sr:ti;l1,s w ith a I I/,I,- inch dic-:<,rtcrmicro-bit. Cy drill ing roczk-fornnt tion s Ircs %,I with this micro-b it., andmeasur ing drill ing rate and tooth t'czr, est inrtes cc:a be rm.ade of large bitperformance. rirst use of the micro-bit was reported by Scott (19!,6) toassist in correlating the drillabil ity of rock with the crushing strength.Head (1951) used a micro-bit in establishing a drillability classificationfor 15 geological formations.

Mather (1951) indicates that the principal cause of confusion in theliterature dealing with rock drilling can be attributed to varying defini-tions of the hardness factor of rock and cutting media. Although none ofthe above referenced research was directly concerned with a study of hard-ness properties as sucb, use of the micro-bit actually involves all threetypes of hardness, i.e., abrasion, indentation) and dynamic or impact.

Other investigators have felt that hardness is closely connected todrillability and have made attempts to discover this relationship, withvarying degrees of success. Protodyakonov (1963) states that it is essentialto know the hardness, plasticity (deformability), and abrasivity, in order tocharacterize the mechanical properties of rocks in drill ing. For determiningthe strength of rocks, he describes a pounding technique for breaking up rockin which an empirical strength coefficient is obtained. He estimates defor-mation from Shore hardness tests, by use of equation (5.6) herein. Hardnessand abrasivity are evaluated by means of a specially-devised drillingapparatus. (Protodyakonov does not make a clear distinction between hisvarious uses of the word, hardness.) Head (1951) conducted limited testsusing a Knoop indenter, in order to determine the relationship between thedrillability of seven different geological formations and the hardness ofspecimens from these formations. He concluded that no consistent relation-ship exists between the hardness and drillability of the tested formations,but, rather, that drillabil ity is more related to the manner in which thehard crystals are bound together.

Rebound hardness tests have also been investigated to determinetheir application as an index of drillability. Wolansky (1949) made useof the scleroscope in Germany for obtaining reliable and comparable valuesfor the hardness of rocks, particularly with respect to drillability andworkability. An interesting comparison between results obtained by th6 useof various makes of scleroscope was made and it was concluded that the Shoreinstrument gives the most reliable results. It was further concluded thatthe scleroscope can be useful for indicating drillability, if comparativevalues are emphasized, rather than absolute numbers. Shepherd (1950, 1951)performed original research on the d.-illability of rocks, in order to com-pare the resistance to penetration and to correlate the results with thephysical properties. He discusses the use and limitations of hardness testswhen applied to drilling, and concludes that scleroscope readings, unlesscorrectly analyzed, give no useful guide to rock drillability.

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The next section describes the laboratory studies which were per-formed in order to obtain specific values for comparison of physicalproperties of selected rock types under controlled conditions. Among thenumerous tests conducted were two types of rebound hardness measurements,and a new (but as yet unperfected) nethod for measuring abrasion hardness.Indentation hardness tests for the majority of rocks from this study wereperformed by Kraatz (l&!'.); therefore these tests were not repeated in thepresent study.

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SECTION 4

EXPER IMENTAL STUD IES

The cc,-1ressivc strengths, elastic properties, sonic velocities,various types of hardness m-,2asurements, and other physical prcoprties, woredetermined for rocks from 27 localities. Thirteen geologically distinctrock types are represented. Selection of the rocks was primarily limited tothe common types most likely to be encountered in civil engineering projectswithin the United States. Other rocks -- marbles, rock salt, tuff, andSolenhofen limestone -- were selected because of their-research interest,either in the laboratory or in the field.

All tests reported herein were performrd on intact, cylindiical rockspecimens, macroscopically homogeneous and free from fractures, joints, andseams. The specimens were prepared from diamond-drill cores from fieldprojects, or from core drilled in the laboratory from rough, quarry blocks.All cores were standard NX-size, having a nominal diameter of 2 1/8 inchesand., for the most part, oriented at right angles to the bedding planes. Thecores were cut approximately to length with a diamond cut-off saw, and thenthe ends were lapped. All test specimens had a standard length to diameterratio of 2:1. A total of 257 specimens were prepared and tested in thisinvest igat ion.

2. DESCRIPTION OF ROCKS

A list of the rock types and the number of specimens of each type aregiven in Table 4.1. These are listed in numerical order by group numberswhich were assigned and maintained for identification throughout the program.The group number is somewhat arbitrary, but consists of assigning consecutiveintegers to each geologic rock type listed alphabetically (basalt, diabase,etc.). Rocks from different locations, but of the same type, are given asecond number following a decimal point in the group number. Thus, for exam-ple, the Berea sandstone is numbered 10.1 and the Navajo sandstone is 10.3.The town or city nearest to the project site or quarry from which the rockwas obtained is also given in Table 4.1.

Petrographic analyses were conducted on thin sections oriented atright angles to the axis of a representative core specimen from each group.The thin sections were ground to 30 microns (± 5 microns tolerance) andcovered with 22 x 40 mm. glass cover-plates. The thin sections were examinedwith a Zeiss petrographic microscope. A mechanical point counter was used todetermine the mineral percentages of most of the rocks, except for some ofthe essentially monomineralic sedimentary and metamorphic varieties. Thespacing of the counter, and the number of counts per section were varied atthe discretion of the operator, depending upon the Grain size, so that thebest statistical averages were obtained.

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TACLE 4.1

LIST CF r , .!ý4T-

Greup Vo.

1.1 Basalt (Lo,.r Cr Ite) Pulrn;, V]shlngton 12

1,2 Basalt (Little Coose) Walle i:,;lla, Lzashingtcn 6

1.3 Basalt (John Day) Arlington, Oregon 6

2.1 Dlabase (Palisades) West Nyack, New York 12

2.2 Diabase (Coogins) Culpeper, Virginia 6

2.3 Diabase (French Creek) St. Poters, Pennsylvania 6

3.1 Dolomite (Crcota) Kasota, Minnesota 12

3.2 Dolomite (Lockport) Niagara Falls, New York 6

3.3 Dolomite (Donne Terre) Bonne Terre, Missouri 6

4.1 Gneiss (Oworshak) Orofino, Idaho 12

5.1 Granite (Pikes Peak) Colorado Springs, Colorado 6

5.2 Granite (Pikes Peak) Colorado Springs, Colorado 6

5.3 Granite (Barre) Barre, Vermont 12

6.1 Limestone (Cedford) Bedford, Indiana 12

6.2 Limestone (Ozark Tavernelle) Carthage, Missouri 12

6.3 Limestone (Solenhofen) Solenhofen, Bavaria 6

7.! Marble (Taconic White) West Rutland, Vermont 12

7.2 Marble (Cherokee) Tate, Georgia 6

7.5 Marble (Imprerial Danby) West Rutland, Vermont 13

8.1 Quartzite (Baraboo) Baraboo, Wisconsin 7

9.1 Rock Salt (Diamond Crystal) Jefferson Island, Louisiana 6

10.1 Sandstone (Derea) Amherst, Ohio 12

10.2 Sandstone (Crab Orchard) Crossville, Tennessee 9

10.3 Sandstone (flavajo) Glen Canyon, Arizona 12

li. Schist (Luther Falls) L Unknomn Origin 12

11.2 Schist (Luther Falls) ii Unknown Origin 6

13.1 Slltstone (Iackensack) Hackensack, New Jersey 12

14.1 Tuff (NTS-E Tunnel) Mercury, Nevada 12

Total 257

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Fhoto.icrogr,-,hs of the thin scct ions vw.r'e fIlkzd on a Zeiss "'iftr,-phot I I" c-era-rficrosccpe using Pol aroid 4 x 5 sflots (type 55 positlve/r.2,a-t lve). The petrographic descriptions and photc-icro r,-..,hs are presentced inApcnd ix A.

A brief description of a typical core specir,.n, from ec.ch of the 23rock sa,:;les studicd in this invcstis::tion, is given in the folc'aing par6ograpThs :

1.1 B~alt(V',•r :" r:•nte), rul lr.:n, V'::sh irton

Dark gray, mrssivc), ¢oract to vesicular basalt; interlocking,crystalline texture. Core samples from dam-site on the SnakeRiver.

1.2 Basalt (littleGe2eL •!alla Walla, Washington

Very dark gray, massive, compact to vesicular basalt; Interlock-ing, crystalline texture. Core samples from dam-site on theSnake River.

1.3 Basalt (John Day,) Arlington, OregonVery dark gray to black, massive, compact to vesicular basalt;interlocking, crystall ine texture. So,, flows of this rock arevery highly vesicular; however, the specimens selected for test-ing contained few or no vesicles. Core samples from dam-siteon the Columbia River.

2.1 D iabase -(Pa1lsa e' Pý, V£est Niyack., New YcrkBlack with I ighter gray, spockled appearance, medium-graincd,dense, massive diabase; tightly-interlockina, crystall inetexture. Block sarp;)le from NLew York Trap Rock Corporationquarry, located in sill intrusion in Newark Group of LateTriassic age.

2.2 Diabase (Cogqins), Culpeper, VirginiaDark gray with lighter gray, speckled appearance, medium-grained, dense, massive diabase; tightly-interlocking,crystalline texture. Block sample from Coggins GraniteIndustries quarry in Allegheny Mountains near Culpeper.

2.3 Diabase (French Creek), St. Peters, PennsylvaniaDark gray to black with lighter gray, speckled appearance,medlum-grained, dense, massive diabase; tightly-interlocking,crystalline texture. Block sample from French Creek GraniteCompany, Inc.

3.1 Dolomite (Oneotja,, Kasota, MinnesotaBuff, fine-grained, massive, porous dolomite; slightly mottledappearance from small, irregular, white veins of calcite; pre-dominantly granular, interlocKing texture. Block sample froinThe Babcock Company.

3.2 Dolomite (Loc•nort L Niagara Falls, New YorkGray to dark gray, very fine-grained, slightly porous, massivedolomite, containing small infrequent blebs of anhydrite;

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texture intcrmediate hotween ccrrrntcd-granular and inter-locking crystalline. Block sa.ple from tuiagnra Stone Division,McLain Industries, Inc.

3.3 Doleriltc (•onneT Ter Tre Missouri

Yellowish buff, extra fine-grained, compact dolomite, containingnumarous, narrow to very fine calcite-filled fracture veins thatare well-healed; interlocking, crystalline texture. Blocksample frcm Valley Dolomite Corporation.

4.1 Gneiss(•>'orsh. '. Orofino, IdahoBlack and white, fine- to medium-grained granodiorite gneiss,with fol iation making an angle of 450 with the ax.s of the core.Somewhat interlocking, foliated, crystalline texture. Coresamples from dam-site located in the Orofino series on the NorthFork Clearwater River.

5.1 Granite (Pikes Peak) Colorado Springs, ColoradoPredominantly pink with small, irregular, dark patches of bio-tite mica, coarse-grained, weathered granite; interlocking,crystalline texture. Core samples from NORAD project,Cheyenne Mounta in.

5.2 Granite (Pikes Peak), Colorado Springs, ColoradoGray and pink, fine- to medium-grained, fresh, dense granite;tightly-interlocking, crystalline texture. Core samples fromNORAD project, Cheyenne Mountain.

5.3 Granite (Parre)rr Barre, VermontUniform gray, black, and white, medium-grained, fresh, densegranite; interlocking, crystalline texture. Block samples fromRock of Ages Corporation.

6.1 Limestone (Bed ford). Bedford, IndianaVery light grayish buff, slightly porous, oolitic bioclasticlimestone; cemented texture of rounded fossil shells. Blocksample from Ind~ana Limestone Company, Inc.

6.2 Limestone (Ozark Tavernelle), Carthage, MissouriLight uniform gray, fine-grained, compact limestone, containingnumerous fossil shell fragments; cemented, crystalline texture.Block sample from Carthage Marble Corporation.

6.3 i . .(Solenhofen), SolenhJofen, BavariaLig••lco ýyish bsiff, extremely "fine-grained, massive, lithographic

) ~c.,• containing lighter, thin, uniformly distributed 'bed-g.v orc~*. Tight, interlocking, crystalline texture. Block

4(.. v Ut. S. Goologicai Survey necessitated coring parallelSb:. bceuse of size and shape.

1-17' It ') Wast Rutland, Vermont" ... ifcorm, fine-grained, massive, saccharoidal

l I: c:lo.klng, crystall ine texture. Block

Page 56: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

7.2 En rbie I heroY Lre) Tate, GeorgiaLight grayish white, medium- to coarse-grained, massive marble;tightly-interlocking, crystalline texture. Block sample fromthe Georgia Mlarble Company.

7.5 Larble (t ,nlfl nbL Vey) st Rutland, VermontOft-white, rredium-grained, rr assive mrrble, containing infrequentpatches of derk ir:Qpurities; ti~htly-interlocking, crystallinetexture. Clock scrple fro-m Vcrront tsrble Co::2 ,.

8.1 •uartzitc (!5rahL_ Baraboo, WisconsinPinkish gray to purple, fine-grained, brittle, semi-vitreous,massive Pre-Cambrian quartzite, containing numerous undulatorybeddin3 surfaces; tightly-interlocking, crystalline texture.Block sample from Baraboo Quartzite Company, Inc.

9.1 Rock Salt (Diamond Crstal), Jefferson Island, LouisianaGrayish white, translucent, very coarse-grained, massive rocksalt; interlocking texture. Block sample from Diamond CrystalSalt Company.

10.1 Sandstone (Berea Amherst, OhioLight gray, fine-grained, massive, slightly porous sandstone,containing very fine, light orangel uniformly to randomly dis-tributed flecks; cemented to partially-interlocking texture ofsubangular to rounded quartz grains. Block sample from ClevelandQuarries Company.

10.2 Sandstone (Crab Orchard). Crossville, TennesseeLight reddish brown, very fine-grained, compact quartzose sand-'stone; tightly-interlocking texture. Core axis parallel tobedding planes. Block samples from Luther Falls Stone Company,Urbana, Illinois) and Crab Orchard Stone Company, Inc.

10.3 Sandstone (Navajol., Glen Canyor, ArizonaOrange-red to brown, porous, fine- to medium-grained, friablesandstone; loose hemat;te-cemented texture of subrounded quartzgrains. Core samples from dam-site on the Colorado River.

11.1 Schist (Luther Falls) .L1 Unknown originLight to dark gray quartz-mica-schist. Extreme crenulationsvisible on sides of core specimens, which were cored perpendicu-lar to the foliation. Numerous garnets visible throughout.Interlocking, cryýtall ine quartz texture, interspersed withmicaceous foliation planes. Block sample from Luther FallsStone Company, Urbana, Ill inois. Exact origin is unknown;however, this schist resembles the Manhattan schist in essen-tially all respects.

11.2 Schist (Luther Falls). 11, Unknown originDescription as above except axis of each core parallels folia-tion planes.

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13.1 Siltstc, (!zkrr'r•rk) t -ackensack, t'w JerseyDark rcddish brown, massive, compact, clayey siltstone; somemore sandy and soma more shaly phnses; clay- and hematite-richJcemented texture. Core samples from frozen-in-ground gasstorage facility In Hackensack K•c.dows, located in Ulewark Seriesof Tr lass ic are.

14.1 Tuff UTS-F Tonnl r:!rcury, FUvadaVery l ishit pink, porous tuff, containing uniformly-distributed,white, dirk gray, and a few random, brown, lithic fragments;cemented texture and a very lcw-density rock. Block saamplefrom Nkevada Test Site.

3. PREPARATION OF TEST SPrCI11ENS

Rock samples were obtained either as NX-size cores from the field, oras block quarry samples which were then core-drilled in the laboratory. Inboth cases, the samples were in an air-dried state. The standard NX-sizecore, as accepted by the Diamond Core Drill Manufacturers Association, has adiameter of 2.155 inches ± .005 inch. The field cores received for this studywere in most instances slightly below these limits; the smallest diameterbeing 2.070 inches. Laboratory cores were almost uniformly 2.160 inches indiameter; the largest size cores were 2.165 inches.

Block samples were in nearly all cases quarry-sawed, having dimen-sions on the order of I-foot square and approximately 5 to 7 inches inthickness. Samples which were irregular or larger than this were cut tothe desired dimensions by means of a 30-inch-diaraeter, water-cooled,diamond-abrasive, cut-off wheel.

a. Laboratory core drilling.

Coring of the b-lcck samples was accomplished by a large, modifiedshop drill press, fitted with a special d;amond-core bit. The drill press,which is illustrated in Figure 4.1J was manufactured by The Fosdick M. T.Co.., Cincinnati, Ohio. It is equipped with a 24-inch-square table with edgedrains, and has a 2 1/2-inch-diameter spindle with 6 inches travel for anyone run. Both the head and the table may be raised and lowered as desiredfor maximum flexibility in sample size. The throat dimension is 12 inches.The drill is powered with a 1-horsepower, 3-phase, 60-cycleY 220-volt,1730-rpm, Allis-Chalmers induction motor. Drill speeds can be varied whenrequired as follows: 225, 370, 480, 800, 1085, and 1800 rpm.

The drill pre;s is fitted with a large, water-coolant swivel '.,33Jacobs taper on spinV_'1 and high-pressure hoses for supplying largevolumes of water diresrly from the domestic, water-supply line. Recircula-tion o' the coolant is Žýssible by means of an electric pump from the drill-press sump; however, thý- 6;d not prove to be satisfactory because the. volumeand pressure were too lPo. An 8-inch.-diameter aluminum pulley is mounted onthe hand-feed wheh-1 b-..• of which a cable and a weight system provideconstant load on the dril l as desired.

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FIGUIEZ 4.1 DRILL PRICSS

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For successful core drilling, ve that the block samplebe securely clamped in place. A cdan which was found to beentirely satisfactory is illustrated in figures 4.1 and 4.2. Thisconsists of two 10- to 12-inch steel '¶nairpin" clamps, bolted to the slottedtable-top with two 12-inch long bolts. Each clamp is supported at one endby a 2 x 4 wood block; the opposite end holds down the sample. In order tohelp align the block sample and provide rotational resistance, sLeel anglesare placed on two sides of the block and bolted to the table-top as well.

The drill bit used for all laboratory-drilled core was manufacturedby Anton Smit & Co., Inc., New York. This is a core-matic "glass" drill (sonamed because of its designed use for cutting holes in plate glass). Anannular, diamond-impregriated sing extends 3/16 inch below the bottom of thehollow, steel-tube. drill body. Because the thickness of this annularcutting ring is approximately 1/16 inch, a minimum amount of power anddrilling pressure is reqcuired. Difficu!ty was experienced, initially,during drill ing of soft limestone and marble specimens with this bit.Circumferential ridges were obtained all the way down the sample, eventhough constant loading was applied through all ranges of drilling speed.The ridges were found to be caused by irregular, weld-metal surfaces on theinside root of the annular diamond cutting ring. This was remedied by firstcoring several specimens of quartz-bearing rocks (granite or quartzite) inorder to "clean up" the inside surface of the bit. Later, the manufacturerwas careful to correct each bit before shipment. The drill-bit size, usedthroughout the investigation. was 8 inches in length and 2.155 (± .005)inches inside diameter.

The most satisfactory drilling speed was generally found to be 225rpm (the slowest available), particilarly for the softer rocks such as theBedford limestone. The denser diabases appeared to drill a little more effi-cien•ly at 370 rpm, although no method to evaluate this was established.With a reasonably new bit and a weight of 45 pounds on the pulley cable, a6-inch long specimen of limestone generally required 6 to 8 minutes for drill-ing. The same size specimen of diabase, with 75 to 100 pounds weight,required 15 to 25 minutes. A specimen of Barre granite required 20 to 45minutes with the same weight. The most difficult specimens to drill werethose from the Baraboo quartzite. With a maximum of 135 to 150 poundsweight, these specimens required approximately 30 minutes to I hour to drillwith a new, sharp bit. The fifth or sixth consecutive specimen with thesame bit required up to 2 hours.

Water was used as a coolant for drilling all rocks except one. Com-pressed air was fed into the coqlant swivel for drilling rock salt. Thisproved to be relatively satisfactory, although the bit heated considerably(too hot to touch). The operator was equipped with goggles and a respirator.A large, commercial vacuum-sweeper. intake nozzle was installed above th3drill bit to minimize the dust during this operation. Because of the neces-sity for stopping intermittently to allow the bit to cool, approximately 30to 45 minutes were required to drill each specimen of rock salt, 6 inchesin length.

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•i I •

FIGURE 4.2 CLOCK SAI\&PLE CLAkIPEDIN POSITION FOR CORE DRILLING

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b. SIwijrf tu lirnqth

All core sample-, were cut to a length of approximately k:.38 incheswith a diamond saw blade. The saw, which is illustrated in Figure 4.3, isa Model J-3 Rock Slab Saw, manufactured by the Highland Park ManufacturingCo., South Pasadena, California. This saw has a If-inch diameter, 750-rpmconstant-speed, diamond blade, and is equipped with a 3-speed, power feedand automatic, cut-off switch. Power for the saw is provided by a 1/2-horse-power, heavy-duty, General Electric motor. The cutting solution and coolantfor the blade consists of a mixture of soluble oil (20%) and water (80%).The coolant is placed in the saw bo:t cr tank to a depth sufficient to immersethe rim of the blade 3/8 inch.

In order to prevent (or at least minimize) the cutting solution frombeing absorbed by the sample during sawing, all samples were soaked in waterfor at least 15 minutes prior to this operation. Those samples which hadjust been drilled were effectively soaked under pressure. This procedureproved to be quite satisfactory for all rocks except the more porous, Navajosandstone. A bar of hand soap was used to prov;de a temporary, relativelyimpermeable coating ove." these specimens. The soap was removed by soakingin water following completion of sawing. Tne rock salt specimens were cut"dry," after lowering the level of the coolant in the saw box below thebottom of the bladc.

Just as in drilling, the specimen must be rigidly secured duringsawing. This is effectively accompl ished by the vise on the saw carriage,a close-up of which is shown in Figure 4.4. Rate of sawing can be adjusted,depending upon the abrasive or other hardness characteristics of the rock.The softer limestones and tuff are cut at the faster rate, which requiresabout 6 minutes for a single cut through an NX-size specimen. The quartz-bearing granites and quartzites are cut at the slowest rate, and requireabout 12 to 15 minutes per cut. The diabases, basalts, and harder sandstonesare cut at the medium rate of about 10 minutes per cut. Use of these pro-cedures provided smooth, right-angle cuts, relatively free of saw chattermarks.

c. Lapping the ends

In order to obtain polished, flat surfaces, the ends of all specimenswere lapped. A Lapma~ter, Model 12 lapping machine, manufactured by theCrane Packing Company, Morton Grove, Illinois was used for this purpose. Inthe lapping process, a compound consisting of No. 1800 aluminum-oxide abra-sive in an oil-based, lapping vehicle is spraycd onto the surface of acircular, serrated, rotating lap plate. One specimen is placed in each ofthree, close-fitting, aluminum, cylindrical core holders, which are slightlyshorter than the finished specimen. The aluminum cylinders containing the3peci-)ens fit loosely inside the three conditioning rings, which rest directlyon the rotating, serrated lap plate. A circumferential lip on the aluminumcylinders rests or, the shoulders of the conditioning rings, thus holding thecylinders off the lap plate and allowing only the specimens and conditioningrings to be in contact with it. A felt pad is placed on top of each speci-men, followed by a 4-pound pressure plate. After lapping one end, the speci-men is turned over.and the pad and plate again replaced for lapping theopposite end. The Lapmaster a.nd various lapping accessories are illustratedin Figures 4.5 and 4.6.

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FIGURE 4.3 DIAMOiNDl ROCKI $A1,W

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S7:' I'll,

FIGURE 4.4 CORE SPECIMEN CLAMPED IN

SAW CARRIAGE

44

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FIGUl"%Z e.5 LAPPI'G " J2

FICURE 4.6 CORE SPECIMEN, CYLINDIRICAL COREHOLDERl, CONDMTQ~:ING RINGs AND PRESSURE

PLATE

45

Page 65: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

Prior to lapping, each specimen (except rock salt) was soaked inwater at least 15 minutes to fill up accessible pore spaces, and reducZ theamount of lapping vehicle that might enter the sample. In general, 20 to 30minutes were required for lapping each end of a specimen for nine of the rocksamples. The quartz-bearing granites and one diabase required 45 to 60 min-utes. The Berea sandstone specimens were lapped from 60 to 90 minutes oneach end. The softer dolomites, limestone tuff, and one marble requiredapproximately 5 to 10 minutes lapping time. Because of their friable nature,the Navajo sandstone specimens could not be lapped.

By use of the above procedures, flatness and parallelism of the tes'specimens were maintained predominantly within ± 0.0015 inch. After lappirn,the specimen ends were rinsed in be izine solvent, then soaked for 30 minutesin a water solution containing Tide soap. This procedure, which was follokedby oven-drying at 100°C. for 24 hours, was very effective in removing allforeign cutting oil, lapping vehicle, arid moisture from the test specimens.

4. LABORATORY TESTS

Following oven-drying, all specimens werf allowed to remain open tothe ambient conditions of the laboratory for at least 2 weeks before under-going any tests. Because of the variety of porosities represented by theselected rock types, ar~d the various moisture and pore fluid conditions towhich the specimens were subjected during preparation, the drying proceduresused were considered to be the most desirable for providing a uniform basisfrom which to begin the test program.

In recommending that testing of rock be accomplished in the 2-week,air-dry condition, conclusions reached by Obert et al. (1946) state that"oven-drying often produces pronounced and sometimes erratic changes inboth the elastic constants and the specific damping capacity - - - - more-over, this effect is often irreversible." However, the data from which theseconclusions were drawn indicate that in going from an initial air-dry tooven-dry condition the following physical property changes were observed:

i) Dynamic E and G decreased by less than 15%.ii) Uniaxial compressive strength increased, on an average, 6%."

iii) Shore hardness showed no change for marble, granite and onesandstone. Another sandstone increased by 20%.

iv) Specific damping capacity (ratio of energy dissipated percycle vibration to the total vibrational energy) showedinconclusive results. There was a two- tcp three-foldincrease in some cases and a 50% decrease in another.

On the other hand, in going from an initial, air-dry state through variousmoisture conditions to the saturated state, the following changes were observed:

i) Dynamic E and G generally increased 19% to 35% for some rocksand decreased by the same or greater percentage for others.

ii) Compressive strength decreased, on an average, 12%.iii) Shore hardness decreased 10%.iv) Specific damping capacity increased three- to ten-fold.

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Colback and Wiid (1965) present data to show'i that the• moisture ,con-tent has a major influence on the compressive strength characteristics ofsome rocks. In tests on specimens of quartzitic shale and quartzitic sand-stone., they found that the compressive strength under saturated cornditions(subriiergcd in water) is on the order of 50% of tlhat under dry conditions(dried for specified tim- over CaCI 2 or P 2 05 ).

It Is therefore a:parcnt that the potential errors and discreparicicsresulting from "wet.' variable[, and unknc;,.n roisture conditions are likelyto be much greater and further from the air-dry state (as recommended byObert et al.) 19 t465, than the potential errors resulting from the initiallyoven-dry state as used herein.

a. Unit wei ht

All specimens were weighed on a Model K-4T ?1ettler, precision balanceto the nearest 0.1 gram imr-mediately following oven-drying, and then againafter remaining 2 weeks in the ambient air of the laboratory. The lattervalues are reported and are used in all computations. During this period,the length and diameter were measured. Lengths were measured by means of anAmes dial comparator to the nearest 0.0001 inch. The average of five dif-ferent readings, four at opposite points on the circumference and one on thecenter axis of the specimen, was recorded as the correct length. The diam-eter was taken as the average of three different measurements with a standardshop caliper. one in the middle and one near either end of the specimen.

b. Shore sclerosco.e hardness

The sclerosco.e hardness was determined for all specimens by means ofa Model C-2 scleroscope, manufactured by the Shore Instrument & Mfg. Co.,Jamaica, New York. The Shore scleroscope is a nondestructive, hardness-measuring device which indicates relativ- values of hardness by the height.& r-bound cf a small :'amonj-pointed hi.,irer dropped vertically onto thetest surface, from a distance of approximatel, 10 inches. The hammer fallsand rebounds within a close-bore glass tube. Air pressure, suppl ied by handcompression of a rubber bulb, operates a catch which releases the hammer.The bulb is connected by a rubber tube to a cylinder, containing a piston,at the top of the instrument. The vertical ascent of the hammer after a testis effected by squeezing the bulb, the hammer again being suspended by thecatch at the top. The height of rebound is read from a scale of 0-14Odivis ions.

This instrument is illustrated in Figure 4.7. which shows the positionof the specimen for taking readings along the sides. The scleroscope is sup-ported on a cantilever, jointed-arm and may be freely moved to any positionover the specimen. The instrument is lowered into contact with the test sur-face by means of the hand wheel on the left.

Two types of observations were made in this Investigation:

I) Twenty readings, spaced at approximately 0.2 Inch were takenalong each of four opposite sides of the specimen, making atotal of 80 side readings per specimen.

47

Page 67: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

FIGURE 4.7 SHORE SCLEROSCOPE

48

Page 68: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

ii) Five readings, equally sý3ace6 on each of four separatediameters, were taken on each lapped-end surface of thespecimen, making a total of 40 end readings per specimen.

The Shore hardness is taken to be the average value of the readings obtainedby either method. Both values are reported in the test results. Before aseries of tests on any day, the scleroscope wos checked by taking a minimumof ten readings on a ;tee! standard, supplitd 1y the manufacturer.

b. Schmidt hardness

The Schmidt hardness was determined by mears of a Type L Concrete TestHammer, designed by E. Schmidt, Basel, Switzerland. This instrument has beendeveloped for use in estimating the strength of concrete, and is particularlysuitable for concrete already in place within a struc-ure. Use of the Schmidthammer for rock testing, as described herein, is relatively new, althoughseveral authors have recently reported of its appl ication to rock for variouspurposes. Roxborough and Whittaker (1964-65,1 report the use of the Schmidthammer for assessing variations in coal hardness along a mine face in rela-tion to changes in mine-roof conditions. Knill and Jones (1965) used theSchmidt hammer for determining the relative hardness of granite cores, asnoted in Section Two. Also Hucka (1965) suggests the use of the Schmidthammer for rapidly determining the strength of rock, in-situ in a coal mine.

The Schmidt hammer is essentially a nondestructive, portable testdevike which expends a definite amount of stored energy from a spring, andindicates the degree of rebound of a hammer mass within the instrument,following impact. Initial tests were conducted with the Type N hammer,which has an impact energy of 1.63 ft.-lbs. These tests were unsatisfactorybecause all but the strongest specimens broke upon impact. The Type L hammerhas an impact energy of 0.54 ft.-lbs., which is only 1/3 that of the Type Nhammer. This was found to be extremely satisfactory as only occasionalweaker specimens, were broken during impact.

Because of the possibility of cracking, or other damage to the speci-mens during Schmidt hardness tests, representative specimens from each rockgroup were set aside for this test series. These specimens were all initiallysubjected to the nondestructive Shore hardness and sonic velocity tests, butwere not used for determining compressive strength and static modulus proper-ties.

A longitudinal section of the Schmidt Test Hammer is shown in Figure4.8., in which the vprious component parts are indicated by number. Figure4.9 shows a photograph of the hammer lying alongside the steel "cradle•"which was developed for holding the specimens during testing. The cradleconsists of three main parts:

i) A steel block, weighing approximately 35 lbs., with a semi-cylindrical machined slot of the same radius as the rockspec men,

ii) steel U-clamps for holding the specimen, if desired, andiii) a flat steel plate, also weighing 35 lbs., to which the

block may be bolted, for use outside of the laboratory wherea firm base is not availab!e.

49

Page 69: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

I. Impact plunar -112. Test r,pccimen3. Housing 12 - _210

4. Rider with guide rod -20

5. Scale 23- 7 4 -226. Pushbutton -7. Hammer guide bar8. Disk9. Cop

10. Two-part ringI1. Rear cover12. Compression spring13. Pawl 414. Hammer moss 5-

15. Retaining spring 19-16. Impact spring17. Guide sleeve --318. Felt washer 1419. Plexig!oss window20. Trip screw21. Lock nut22. Pin23. Pawl springA. Front fixation of

impact springB. Rear end of impact spring is

engaged to hammer moss 1 A

117 9Note: 1(0) Plunger (I) in

impacted position(b) Impact energy - 0.075 mkg (0.542 ft-lb)

FIGURE 4.8 LONGITUDINAL SECTION OF THE TYPE LSCHMIDT TEST HA11%NAER

50

Page 70: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

FIUE . SHID ES ESDSPCAJE CRDL OLC"Aý, AS LT

51N

Page 71: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

Test cbservations are rrncde by placing the specimen in the cradle(itlanved or unclr;0od) and imrctir.9 ,•" hO.c r at vwrious points along thetopmost side. Tlýe h:eýrer is held vertically in both hands, and should be atright angles to the a;xis, and tangent to the surface of the specimen. Theplunger Is placed against the spot to be tested. The han•m;er Is impacted bygradually depressing the plunger into the housing. After impact, the ha-mermass rebounds by an amount related to the hardness of the rock. This is indi-cated on the scale by a sliding rider. The rider position gives the reboundvalue In percent of the tota: forward movement of the hammeor mass. By sim;plyremoving the hcnmer from the spot tested, it s reset for a furthcr test andat the same timn the reading is cancelled.

In this investigation, three separate readings were made at equalspacing along a line on the upper side of each test spec men. The specimenwas then rotated 450 and three more readings taken. This procedure wasrepeated until a total of 24 readings for each specimen was obtained. Theaverage of these readings, for all specimens of any given rock sample, istha Schmidt hardness. Any obviously erroneous readings (such as improperholding or slipping of the hrmmer) were disregarded and replaced by readingsIn an adjacent spot.

Schmidt hardness readings could not be obtained on core specimens ofthe Diamond Crystal rock salt, because they fractured during impact. Instead,the top of a block sample was marked into 1-inch squares and one reading wastaken in each square. The average value of these readings is reported as theSchmidt hardness for rock salt used in this study. P,'eliminary tests onselected block samples of the other rock types proved this procedure to bevalid. There was found to be no perceptible diffe-ence in Schmidt hardnessvalues from block samples or from NX-size core, as long as the core or blockremained intact. The problem of fracturing cores during impact was alsoencountered to a lesser degree in the Navajo sandstone, particularly in themore friable specimens and those containing bedding planes. In this case,additional core specimens were tested.

d. Abrasion hardness

A special device was developed to measure the abrasion resistancequalities of the various rock types studied in this investigation. Thisdevice was designe2d to be a mechanized, self-cleaning, "scratch" hardne.stester. An attempt was made to provide some degree of control over thevariables of force, abrasive, and time. while making this test, and to averageout the various mineral hardnesses encountered within any particular rockspecimen.

Two views of the abrasion apparatus are shown in Figure 4.10. Ascan be seen in these photographs, the steel cradle block utilized in theShore and Schmidt hardness tests was used as a base for the apparatus, whichis primarily constructed of aluminum. A 6-inch long, adjustable rod ismounted in a square pivot-block which is free to rotate on two pin-buttonbearings. The bearings are mounted in a U-shaped yoke which is screwed tothe base plate. A steel axle-shaft is mounted horizontally in teflon bear-ings., at right angles to the outer end of the adjustable rod. At one end ofthe axle is a 7/8-inch diameter abrasion wheel. and at the other end is apulley of the same diameter.

52

Page 72: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

r

I - - -- ) I4--

- - r /

r r ji�

Co) Side VIM?

7-----;I-/

rb;>V I 7$'

V -

� .5 -J/

I(b) Three-Quoflcr View

FIGUflE 4.10 A6RAS�ON ArA5AATUS

53

- -5' -_________

* -�5 � �

fl-;S.*J-------------

Page 73: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

The abrcsioc"i tL:,,pratus Is pc-.,e rcdl by a l/0he15c~, l-volt A.C.,rorev~m clectric'i,:::tor. It hns a sned raneo u;) to l4,000 rn, t~hich Is con-trolrl.d by a fcot rowr Is su~pl icd to the epparatus throujh tw:o,I/8-inch 0-ring Lc<ts. In order to m31ntain fi•,-.d tension in the drive-beltsyste.- during cuttinC, tw'o pullcys are mounted at tha rotational axis of thepivot-block, noccssitlng th3 tw:o-bolt systc;. Vlbrmal force cppl ied by thecutt ing wh'Xl Is vnr ied b'y mz::ns of the extons ion arm end shot bucket M.,untedon the pivot-block. A Vc.r ccuntar is lnstnllcd adjacent to tho cuttingwhnel, in ordcr to ,::nure t%ý nuser of revolutions of the whcel daring atest.

Each test was pcrformzd by cic.•ping a speclinmn in the cradle blockend mounting a new, thin, double-cutting, dcntal carborundum disc on thedevice. ihe disc rests directly upon the specimen surface, colinear with theradius and in a line paralleling the axis of the specimen. A short weight of55 grams was used with an extension arm length of 4 inches and a distance of3 Inches between the cutter-axle and the pivot-point. The instrument wassupplied with full powecr for a timed period of 3 seconds. No attempt was madeto allow for frictional starting resistance, or inertia, at the end of thetimed period. These two unknowns were assumed to balance out. Tests made at5-second and 10-second periods proved this assumption to be reasonably correct,as no significant differences were noted in the abrasion resistances, whencompared with the 3-second interval. The counter provided a means for quanti-tatively checking the relative amount of slippage in the belt-drive systemduring a test, and indicating the validity for comparison with the other testdata.

In general, one test was performed on each of four opposite sides ofa single.test specimen from each group. A new carborundum disc was used foreach test. The depth of each cut was measured with the Ames dial comparator,using a specially-built foot which was the exact size of the carborundumabrasion disc. Areas of the circle segments thus cut were comnputed and aver-aged to obtain a relative, abrasion-resistance number. Since the softer rockshad deeper cuts (thus .higher numbers), the abrasion hardness is reported asthe reciprocal of the computed area cut. Abrasion hardness values were notobtained for the Berea (10.1) or Navajo (10.3) sandstones, because theircoarser grains blocked and clogged the cutting wheel, thus stopping the test.

e. Absorpt ion

The absorption (or porosity) characteristics were obtained for onerepresentative specimen from each rock type by using a vacuum-saturationprocess, similar to that suggested by the U.S. Bureau of Reclamation (1953).This process consists of:

i) oven-drying the specimen for a period of 24 hours at 105IC.,II) placing the specimen in a bell Jar under a vacuum exceeding

20 Inches of mercury for 24 hours,iii) Immersing the specimen In water while continuing with vacuum

for another 24 hours,iv) removing the vacuum and exposing the water containing the

Immersed specimen to the atmosphere for at least 48 hours.

54

Page 74: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

This proccd ure el IImir r,. • ir frcm: t rock porcs rd e-1 ?-a, Trs tV3 wcter;r.tmosphcr Ic prbssuro t k, n cr irs v,,- t. cr ir teo tLh rock, t ,u.s tur ing snsture-t ion. Upon complet icn of tlI-. 5-d:y cycIr, tYD sc Ih -r Is rc.ovc d frc- thowater, surface dr lcd, cnd t:;cn wr~lihz' to the r.c•rost 0.1 •r. The absorp-tion Is computed by tL: follor.,,j iq tion:

P2- PAlbs o r Pti on .... x 100

in which P2 n wvi.kt of saturated •yc'• nP1 - weight of ovwn-dry sp~ci2;.en

Absorption was not determined for 83araoo quartzite (g.1) and Diamond Crystalrock salt (9.1).

f. Sonic pulse vclty rreasure ... nts- (Pt so..tln •_0

Standard pulse techniques were used for the detcrmination of thesonic velocity for all rock specimens while subjected to a loi, axial stress(seating load) of 100-150 psi. This technique Involves the generation of ashort-duration stress pulse of low anmlitude at one end of a speciman, andaccurately measuring the time taken for the arrival of the first recogniza-ble energy-pulse at the opposite end. The velocity, V . which is the velocityof dilatational waves in an unbounded mcd ium, or the bclk ccmpressionalvelocity, is then corm;puted by simply dividing the length of the specimen bythe measured travel time.

The schematic diagram in Figure 4.11 illustrates the interconnectionbetween the major cor.ponents used for applying a pulse and measuring itstravel time through a rock specimen, subjected to a uniaxial static load.The two stainless-steel transducer cups, referred to as the 'receiver" and"Istransmitter, are identical in construction and are, therefore, interchange-able. Each of the transducers contains a I/8-inch thick, barium titanatecrystal, which has a natural frequency of 200-300 kc/s. The crystal Iscemented directly to the interior face of the transducer cup. Coupling withthe test specimen is greatly improved with a thin coating of Dow-Corninghigh-vacuum crease, smeared between the face of the transducers end each endof the specimen.

A short-duration, high voltage (I,000 volts maximum) pulse Is appliedto the transmitting crystal from a high-gain, high-pass signal amplifier.This pulse generator causes the crystal to expand and contract rapidly, thusImparting stress pulseq to one end of the sample. In this way, ?ntermittenttrains of ultrasonic waves are propagated through the rock specimen. thearrival of the pulses at the opposite end of the specimen, causes mtchanicalcontraction of the receiver crystal, generating a voltage across the crystalfaces. The induced electrical signals are amplified and displayed on thecathode-ray tube of a Tektronix Type 535A Oscilloscope, equipped with a Type8 Plug-In Unit.

The oscilloscope display is formed by a repetitive sweep of the inputwave-form across the oscilloscope screen. In order to examine the character-istics of the wave-form in detail, it is necessary for the repetitive wave-form to appear stationary on the screen. This type of display requires that

55

Page 75: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

Qo Q 0 o Co0 04 0

00 0 (900

-. (>

x 0 -

0000,

0 'IL z

00-0

w

m~ C)

56

- -- ~ r - - - -.

Page 76: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

the start of the sweepbr Vr ( definite, f ixad-t iri- relat iorsh p (hence,synchronized) with tU,:ý c,,!:,,ocrcnce of tie inmp•ut wzvc-form• This isaccomplished in the oscilloscope by triezring (sta'rtlng) the svwep withthe displayed wave-fckm:.

The calibrated sv:ecps of the Type 535A Oscilloscopc ceuse any hori-zontal distance on the screen to reprc~osnt a definite, knc,%n interval of tin>e.Because of this f0t... th: t irh:: lck betwecn twto events d l:rielyed on theýscreen, i.e., the be-ife irro, end the "first arriv3l" of a so.nic puIsoe at thoeopposite end of a sric.-,rn :y be accurately rTcwesured. TL mOthods areused for time measurc>,','.nt:

I) Using the graticule on the screen, the horizontal distancebetween the two displayed events is measured directly. Thedistance measured in centimeters is multiplpied by theappropriate time/centimeter control setting (which determinesthe horizontal spread of the displayed wave-form). Photo-graphs of typical records obtained in this way are shown inFigure 4.12. The first arrival of the dilatational waveoccurs at the first break (bend) in the horizontal portionof the displayed wave-form. Since we are Interested in thefirst arrival only, the entire wave-form is not displayed.

ii) Use of the delayed sweep feature of the oscilloscope providesa very high degree of accu' cy. The delay-time multipliercontrol is rotated until the leading edge of the trackingpulse just merges with the first break In the horizontal lineof the wave-form. The reading from the delay time control isthen multipl ied by the tire/centimeter control setting.

Although both methods are used simultaneously as a check., each on theother., all time measurements were made in this investigation by the secondmethod. This method eliminates parallax errors, and those reulti.ng fromvisual determination of the location of the beginning of the sonic pulse.,which are inherent in the first method (using the graticule only). Correc-tion for instrument delay time must be made by subtracting this predetermined"constant" from the time readings obtained by either of the above procedures.

A unlaxial seating load is applied during this test by placing thecore specimen., along with the transducer cups, between the loading heads ofa hydraulic load press. The seating load is applied only to obtain bettercoupling.of the transducers to the specimen. Load is measured with a stand-ard steel-column, SR-4 type, Baldwin load cell. The strain Indicator is setto a predetermined value of load, computed from the load-strain calibrationof the load cell. A hydraulic hand pump is used to maintain the desired load.

g. Sonic pulse velcicity and static stress-strain measuremernts (durin,cycl ic load ino)

Approximately hIl6f of the test specimens were individually subjectedto simultaneous measurements of sonic pulse velocity, Poisson's ratio. andmodulus of elast!city, at various axial stress levels during cyclic loadingunder static conditions. Sonic pulse techniques as previously described were

57

Page 77: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

(a) Varao acndslene ur cr: unlaxlcI m-prczr~v

(b) Oeroo sajndston undenr unlaxiol comproazfvastress of' 5,000 pei

F1~24.12 TYMIAL SONIC PU1LCM WAVE -Po-ýz, DISCPLAYS

58

Page 78: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

I ?loy••d for r,,s-'rce-:nnt o'f the d Ilatat iorn wve velocit ies. .21licat ionand mriesurcri:nt of unia ial o, eds were acce:?•lis ?<d by the procedures dis-cussed in the precediig praý,reph. Vertical and lateral strain nme.:surcr.entswere obtained by use of resistance strain c;:-.•s bncrid directly to the speci-men. Equipment for perfor.ilng this test series is illustrated In Figture 4.13.

A specimen which hias an L/D ratio of 2:1 may be considered to beunder almost uniform vertical stress unc!ur the middle 5/6 of its hainht,during compression testing (Fairhurst, lI1b. In this test series, twoBaldwin S2-4 Ty0e A-I stro in gca:s, he:vino a ;. lernqth of 13/IG inch areplaced vertically on opposite sidzs at mid-heLait of thc specimen. Thele arewired in series for vertical strain measurcmrrnts. A second set of two gagesare placed horizontally at mid-height on the opposite diameter to the verticalset, and are also wired in series for lateral strain measurements.

All four strain gages are securely bonded to tbe specimeo L"y means ofEastman 910 cement, which is pressure-sensitive and sets up In approximately30 seconds. This is a cyanoacrylate adhesive, which is manufactured by theTennessee Eastman Company of Kingsport, Tennessee, a division of Eastman KodakCompany. The combination of rapid setting action, high bond strength, andability to bond to dissimilar materials, all at ambient temperatures, makethis cement an excellent bonding agent for this purpose. There is an extremereactivity associated with cyanoacrylate, and any water, or water vapor issufficiently basic to cause deterioration of the adhesive over a period oftime (McCarthy, 1964).

The surface of the specimen is first cleaned with acetone, and theback of the gage is coated with a special catalyst. Following zpplication ofthe cement to the specimen, the gage is moutsnted and -oderate thumb pressureis appl ied through a sponge rubber pad, which is prevented from sticking by

means of a small sheet of teflon. The gage is finally coated with a plastiswater-proofing (in an organic solvent) to kecp out moisture. Both the water-proofing and catalyst accelerator are produced by the Budd Company, for usein conjunction with the Eastman 910 cement for strain gage application.

A close-up view of the specimen, strain gages, sonic pulse trans-ducers, and load cell within the hydraulic loading frame is shown in Figure4.14. Measurement of strain in both sets of strain gages is accomrplishedwith one SR-4 strain indicator, by means of a single-pole, double-throwswitch. Strain read-out is illustrated by the photograph in Figure 4.15.

In this investigation, each specimen was subjected to two completeloading and unloading cycles up to 5,000 psi, except rock salt (9.1) andtuff (14.1). Because of their low strengths, these two latter groups werecycled to 1,500 psi only. Loading proceeded at a uniform rate by smooth,steady strokes of the hydraulic hand pump. Loading was stopped and maintainedat constant values while sonic velocity and strain readings were made. Thesereadings were obtained at zero axial stress ard every 1,000-psi stress inter-val for both loading and unloading, following an initial seating load of100-150 psi. Readings were taken at stress intervals of 250 psi for therock salt and tuff samples. Efficient performance of these tests require thecombined efforts of two operators. By use of the procedures described above,approximately I hour is required for performance of one complete test throughtwo loading cycles.

59

'S -I I----I

Page 79: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

..° 0 I

FIGUriE 4.13 EQUIPMENT FOR FEASURING SONICPULSE VELOCITY AND STATIC STRESS-STRAIN

DURING CYCLIC LOADING

60

Page 80: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

?,7

FIGUflE 4.14 C07E SPECU2IN IN POSITION FGR

MEASURING SONIC PULSE VELOCITY, STRESS

AND STRAIN UNDER UNIIAXIAL LOAD

61

Page 81: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

top,

FIGURFE 4.15 STRAIN READ-OUT

62

Page 82: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

Al I spec ir,: rs wh ich h•d bscin tcstcd ure:r cycl I ic I:c,4•,j co.J Jr It ions.descriL.d aLove, wcrc also tested In static cr.,w,.rcssioa to failure. A 3C0-kip,univorsal, Richle hydraulic testing rt:ch lr w- s us,,d fcar lc.•dliv t,' -, cc3.:as.This mcchine has six load ranges. The lo-:e-st renr, -:: uscd for balancing themachine and the ranges were progressively incrceed, as th,' so .ir:.n aýprozchedfailure, in order to insure m×In;!irm cciir'r, irn tf. z;:x •.i lc-,; -: urc,:.:nts.A photo~rc;)h of tho static cc:: 2rcgsl, tc,:, r chc is sY ... in F1

Vertical ,nd lateral stra.in r!:,:urc :. ;it s -::rc iw d by r : es of tL'..SR-4 resistance strain •:,es provyiously uscrd in the cyclic lz-nding, tests.However, in order to maintain a continulus rate of load eppl ication, strainread-out was facilitated by two strain indicators. one for each set of gages,rather than by us ing the much slower, s0,witching procceuf-e as in the cycl icload tests. In order to provide a mans for checking the vertical resistancestrain gage readings, one dial indicator was placed batw•en the ioading platensof the compression machine. as close as possible to the test spncim:,e. A close-up view of the specimcn as instrumented and positioned in the test machine Isshown in Figure 4.17.

All compression tests were conducted on uncapped specirmens, as reconm-mended by Obert et al. (19L6). Care was exercised in centering the specimensin the testing machine and zero-load, strain readings were taken fro,. thestrain indicators. An initial load of 100-150 psi was thcn applied veryslowly to permit adjustrm,,!nt of the sphevrlcal cc,,ression block. After appli-cation of the "seating" load, initial rca, dings were taken on the machanicaldial indicator, which was graduated to 0.0001 inch per division. Loadingproceeded continuously to failure, with all strain readings obtained sirul-taneously at predetermined load intervals based upon the esti;L tod co:.oressivastrength of the specirm,,n. Since loading w3s manually controlled, rate ofloading was not the samn,: for all rock types. In general, the averag2 loadingrate was 10 to 25 psi/sec for the low to medium strength specimens, 35 to 50psi/sec for the medium to high strength specimens, and 60 to'70 psi/sec forthe very high strength specimens. Essentially constant loading rates weremaintained for specimens from any one particular sample. Typical compressivefailures are shown in the photographs of Figure 4.18.

The compression tests constituted the third loading cycle for thosespecimens previously subjected to the cycl ic loading tests. Selected addi-tional specimens from each rock group were tested in compression to failurewithout strain readings. These were conducted at the same rates of loadingas those specimens with strain measurements. Ultimate compressive strengthswere computed by dividing the maximum load at failure by the average Initialcross-sectional area of the specimen.

I. Point-load tensile testF

Measurement of point-load tensile strengths of representative speci-mens from each rock group was accomplished by methods described by Relchmuth(1963), and D'Andrca, Fischer, and Fogelson (1964). The point-load tensilestrength is determined by applying compressive point-loads to the curved sur-face of a cyl Indrical core specimen., of which the axis is placed horizontally;the specimen is tested between the loading heads of a load press. The point

63

* NW_ _

Page 83: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

-. I

FIGURE 4.16 COMJPRESSION TEST MACH1INE

Page 84: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

- fI

FOR CO•'iPRE S SION TEST TO FAULUR

65

4 • ... .. ..... .... • .. .

- •. ,i l il ,

Page 85: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

F

- 41'4 4-.

It

9

(a) Dt�cxzht C�wha

4113]i

Ib) KcSers;z �

FISUCZS 4.10 T'CLZAL ccz:x20c;v: FAILWTZS

66

Page 86: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

loads are obtc, 11% C r, r-ýnznns of sr:l 1 -d stc7: I~r rc' Iic Ita rclorknda r ~t. xi ~cs to tL 0 czýx i s o f t 1he spc Ii- n . Th is prc du;. inltcrn'c

tens ile strcssoc ýý n iua to thei londing ax is. A scL'-,.'7t ic dc In iFicure 4.19 lllvuctrcntcs the gencral Szcci--,try of thism tcst. risurcs 1".423 Cnd4.21 are photo;:-rý Lh of the actual cniparatus uscd.

Test splnc ir.-cas for this ser los wcnre i&zrt lcd- in aillr e with-those used in ot;itcsts. Thcy wsre scelctccl frcci all groups pre r.cda'ý,. in it i-ally for this irx.eiýt ion. I" C~, n z ' F,7 t r Li _t lyve t c.1 a hen i-dlbnC i ,c dfor each spc i., Je 'a cd ing, fveedjns, wc~i: i th 32 rc trharde:,ned selrol lcrs v.,crc e~ c and~ instal lcd: d ircctly on tNO, iced clIIand hydraul ic.'J7c!k piston of tho lornd press. The (ehvri loaid cell wes raisedan add itijonal tCirce inchas with flat, stool bear ing blocks. This redUce-d theamount of Jack e;xtcnsion to a minimum, effect ively providing mraxir.-,,um lateralsupport for the jack piston.

A Speed-0413x, Type GP strip recordar was used for determining themaximum failure load, The recorder was adjusted for full-scale reandings of500, 1,000, and 2,030 micro-inchcs/inch (de-pending u'pon the estitiated strengthof the speciraLn) by me-ans of a CLH Strain Indicator. Since the load-coillcalibration was kno'wn to be 9.6 lbs/p-in/in, the total load could be accuratelycomputed by multiplying the proportion of the full-scale reading roached atfailure by 9.6.

Each speciman was loaded mid-way between the ends; the load wasappl ied by smooth., even strokes with tile hydraul ic hand pump. The point loadtensile strength, T,. was Lomputed from the following cecpiricao expressiongiven by Reichruth (1963):

T - 0.96 -.. (4.2)

In which F - total failure load in poundsD - core diameter in inches

Two tests in this series were conducted from each of 19 rock groups. One testwas conducted for each of the other nine groups.

5. TEST RESULTS

The physical and elastic properties for 28 different rock samplesstudied in this Investigat ion are summarized in Tables 4.2 and 4.3. Divisionof the data Into two separate tables is primarily for convenience In presenta-tion,.because of the large number and kinds of variables Involved. Bothtables, though slightly different in organization, present the same type ofInformation for each variable:

1) the average value of each variable,11) the number of tests from which the average was obtuýined, and

111) the coefficient of variation, V/%, for the variable.

All raw test data were put on standard keypunch card: and reduced by means ofan IBV4 7094 computer. Individual test results for -.achi gpecimen were subjectedto statistical analyses, as described in Appendix C, In order to obtain aver-age values and dispersion characteristics for each property of each rock group.

67

Page 87: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

00

V 0 CLi

emSa 4- - u0to-

I w

0:

I ~LI

0 I(

Page 88: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

r

F->

II

(

I

II

FtGUfl� 4.20 POI�T-L0AD TZ�L� TEST EQUIP�JT

69

_____________________________ ______________________________

Page 89: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

FIGURE 4.21 CORE SPEMCI112- IN POSiTIONFOR POINT-LOAD TENZILE TEST

70

Page 90: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

- t in-

t 1o-0 P

es ~ )P

d4 ::; 0; 04n ff 4 V_

I 0e V404 od ; m C

a.. SO

g d

X:xmmuI

I ~: ~ Ufl UH ____9 ___ ____

L 1

4 .9.9 .90 .9~~~0 i 9 .0 .0 -

P4 - ____71

Page 91: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

r4 0

*1

-v .4 a . J

v -4

44 to1 0 re m ; kA00P

0* w

4 0 fta fr

ON N r

fm - 0 N 4S S 00 0 N P4 V

caI N0 P4 4. 0 M M N 0 O

- N N - N

fg3 ~ 4Z

I-I ~0- -

N N - N

o a -72

Page 92: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

- N N N 0

C~~t *4 ed ~ -N * 4VN

IN --

U) fq

IS.

el o n a, 0

.0 0; 0v N t F. ID

0, -- N NN

114 ¶J U ~- N U) to

_ _ _ W U) 73

Page 93: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

m fm C-4

tof

$f- 44f P4 i- ~

046 n ~

ft ft P4 ow 14 4444

00-n

3 ~ ~ ~ ~ 1 c I. 0 -s q a u . * u

-~~~t bn -4/ 6 6-bF N

tIZ -'5 -- - ~ 74

Page 94: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

13 9-

qlj e. DI O O np N 1or vi

S S

60D ~ D 0 ~ O f

* IUD

-5-;

Ira

**n N 0

S.D

9.. __ _ __ _ _

D75

Page 95: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

*A ,r, , - v--'- - t tr -st Vl t tr S

~ ~61-~o mi

w~P ~ ~ 2 ~ 2 .~a

t, V; 0. * 4)

r1 0- f% - % % - 0

04 4L

0 40 40 em f. 4 - Ao t 0 o--

Ca'at

* 0 - N Pt a Nht 01

4 ~ U ~N N 76

Page 96: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

CA a Iue t- ~ '

40

10. -4 m

. . .-I'

04 -" M- 0

to _ _ 9 * _

.cc

j a. ft a,-

-i4 U0 .. . . . U 0A -NmNri- -NO -. fl 4WQ ~ Ucm

N -- N

i ___FA

- _ __ __ - . 2 ~ 77-

Page 97: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

a -

6 6

2 0 Is a0•: * - - * * " ° - * ", .,

P a -• F I- a

SV

Af 4M 4 0 P) 40

,, , ,

-!- --- -

78

Page 98: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

a W,4 0 co4 . cl 0, 000 1 ftA

'SA

MA S m --.

*~~~ S 0fq*

S .0 . ~iU t~ 5In

P: 14 a - - - 4 4 0 0 f

04-

I-

N.~~ 10 0 4 f

o U _ ____ _ __ __79

Page 99: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

V 0

t- In

e 0 * -W. .. ..~ O ( .. . . .. .... ....

ii

It

gin

14,' I' # - "= - -

80

Page 100: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

.71

PbN to 0P 0P -

- s ~ l

3LI , I 1:-1 -1 _ _ _

- Na.h. ci F 0 4l P

I *~~~~~ 2~ f -40~P 0- ~ @ - ~ .'-f

0 0- v - wb~ U -. N U e. Dq C O 0 0 0

040~

2 x 2 x 0 - 01

IL f

A~ C4f

Uc.. ~ ~ ~U~ V s id

81W 4 00 P -

Page 101: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

TLIeb 2~ 2~ iza ttiýs :. prc:' rt ics v.h ich rc.;y L c:ýj 1e:, i rd. riýz.rc orlc.s e ~~ic~1v ior "conWtnts" for eccch rock ty>. I co:t~t YL

p r 0;rtirt in 1)I .V 11.3 have several valucs, dcpondnirJ U:.;C ,n1A strcs Isvo Iinvo v.I•. (v-,-1 :n of tLse term.s is not r riorc-s, but Is int,,od for urvocof Scn,:Aral cl,'orif ic,-,tion.) Table 4.3 Is dividod into to soctions:

i) Elastic Properties (First Loading Cycle)

This section ccntains both static and dynn;Cnlc values forthoase [.,rcprrtics cc:'..:utcd frc;,i data obtain.vd cd-ring tVNO firstloadirn cycle nnly of the tvo-cyclc, sonic volocity strcss-strain tests to 5,000 (and I,00) psi, doscrilbd in p.rarc.ph

(g).

ii) Static Elastic Properties (Loading to Failure)

This section contains those properties computed from dataobtained during the compression tests to failure (third loadingcycle), described in paragraph (h).

All values reported for E and v are tangent values computed from. a tangent tothe corresponding curve at the reported stress levels. Secant values are notreported in these tables.

Appendix 8 contains graphical summaries of typical data obtained forone representative specimen from each of the 28 different rock samples. Twoconsecutive sheets., A and B, constitute the sunmary for each specimen. Infor-mation within the square box in the upper corner of each sheet identifies therock type and specimen, and includes certain physical data for that particularspecimen. The Shore hardness is given for the average values obtained fromthe lapped ends of the specimen. The sonic velocity, Vp, given in the databox on shoet 3 of each set, is the dilatational wave velocity at a seatingload of 100 to 150 psi.

Sheet A of each graphical data set, summarizes the data obtainedduring the static cyclic loading tests to 5,000 (and 1,500) psi. Plot (a)shows the axial stress-strain behavior, during both loading cycles. Plot(b) shows the variation of Poisson's ratio with stress, as determined fromthe SR-4 strain gages, for the first loading cycle only. Both the tangentand secant values are shown thereon. Plot c) shows the variation of thedilatational w~ve (sonic pulse) velocity with stress, during both loadingcycles. Plot (d) shows the changes in the various moduli of deformation,during the first cycle of loading. The tangent and secant moduli values, Etand Es res ectively, are computed from the static stress-strain data givenin plot (a). The constrained modulus values, Mcy are computed from the sonicpulse velocity data given In plot Cc) by the equation:

M - V2 (4.3)

In which p - mass densityVp - dilatational wave velocity in an unbounded medium

Sheet B of each graphical data set presents the data obtained duringunlaxial compression to failure. Plot (a) shows the axial stress-strainbehavior. 8oth the Initial modulus valua, El, and the tangent modulus, Et.

82

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which wns cc *rt-, at a stress equal to on:-half tko ult irc•te ccc;)rCssivestrenflth, arc r.ccrcd thereon. Strain w:casurcrmzcnt: d&;to .riirnd from theSR-4 strain s arc shovin to start from zero, althoi<h this test isactually thý. third looding cycle for the spec irnn. These tests wcre porforf;;oda minimum of 2 to 3 wceks after the cycl ic load tests, euring which time noatterwjt was m:c to ri.acsure strain rcbound. Little or no .oraa3nsnt set w3smeasurcd during tCý cyclic loading tests, howo,;cvorJ, cxccpt for tl"ie speciri,,r::nsof rock salt (.I). Plot (b) sh1i'.,s tho variation of Po i:sra is ratio duringloading to fc ilurn, cc,.:?utcd for both the, turnrnt and s:c;:,nt valucs. Thi,,theoretical Iimit of Poisson's ratio is 0.5, and hence, rio valucs are SI';;:nabove this l imit.

Relationships among various pertinent physical and elastic propertiesare presented grqphically in Section Five. Significant correlations used indevelopment of index-property dasignations, and consequent rock classificationcharts; are given in Section Six.

83

................. ... I .... I

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DISCU$SIM I ZD, If2 •,1TL iZ:TAT ICN O ME "RIE6!6TML DATA

In this scction the erperimnntal data are examincd statistically andtha correlations ar.ong the various rock properties are given. The difficultiesencountercd in r.:zsuring so:m- of the properties and the bases for the inter-pretation of the test data are discussed. A summary is given of the procedureused in the present statistical correlations including a discussion of thenecessary replication (samsple size) for statistical inference.

2. STATISTICAL PROCEDURES

a. Required snmole size

When a treatment or test procedure occurs more than once in anexperiment, it is said to be replicated. According to Steel and Torrie(1960), the functions of replication are:

i) to provide an estimate of expe.lmental error,ii) to Improve the precision of an experiment by reducing the

standard deviation of the sample mean for a particularproperty,

1ii) t~o increase the scope of inference of the experimental databy selection and appropriate use of a wide variation of testsamples, and

iv) to effect control of the error variance.

An estimate of experimental error is required for determination ofsignificance and for confidence-interval estimation of a given set of testdata. When there is no method of estimating experimental error, there is noway to determine whether observed differences indicate real differences or aredue to inherent variation. In such cases, any inference must be based uponprior experience.

The degree of precision required is probably the most important factoraffecting the number of replicates. Increased replication usually improvesprecision, decreasing the width of the confidence intervals and i,,creasingthe power of statistical tests.

iplication does not reduce error due to faulty technique or equipment.Neither does mere statistical significance give information as to the practicalImportance of a departure from the null hypothesis (i.e., a statistical hypo-thesis fornulaWi for the sole purpose of rejecting or nullifying it). Themagnitude of a real departure that Is of practical significance can be judgedonly by one with technical knowledge of the subject; this maqnitude, togetherwith a measure of.how desirable it is to detect it, serves to determine therequired precision and, eventually, the necessary number of replicates (Steeland Torrie, 1960).

P8.

Page 104: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

Rock test data, published by the U. S. Oureau of fKinzs (l49-I%0) arereported to have a probability of 75 chances out of 100 or better of beingwithin 20% of the population mean (i.e., the mean approached as more and mre-observations are made). For standardized physical property tests, the Bureauof Mines (Blair, 1955) rccommends an optimum and minimum nuebcr of specimensfor each test as listed below:

Mo. of ?pecirnmns per test

(I) Compressive strength 10 5(2) Shore hardness 10 5(3) Sonic velocity

(dynamic-elastic constants) 6 3(4) Modulus of elasticity

(static-elastic constants) 4 3

From the definition of limit of accuracy, it is possible to determinethe sample size, n', required to predict the population mean within a certaindefinite range for a certain degree of accuracy. Since limit of accuracy,

L - tj then r ts or the required sample size:

I 2

ni (t (5.1)

where s - sample standard deviation, andt - "Student's" t, for n-I degrees of freedom.

Thus the required sanmle size depends on the specified confidence interval andlevel of significance, which can be altered to fit various experimental condi-tions (Liu and Thorrburn, I>$5).

In the present investigation, the number of specimens or measurementsperformed to determine each property was not the same for each rock groupbecause of the type of test involved and the number of specimens prepared foreach group. A summary of the average (or usual) number of tests per group andthe average coefficient of variation for each measured property is given inTable 5.1. In general, either 6 specimens or 12 specimens were prepared foreach group. The number of tests from the 6-specimen groups is given on theleft of the middle column of Table 5.1, and the number from the 12-specimengroups is on the right of the middle column of this table. For exampl3, forcompressive strength, 3-8, means that in general, there were three tests per-formed for the 6-specimen groups, and eight tests for the 12-specimen oroups.The average coefficient of variation was computed as a weighted average on thebasis of the number of tests and the corresponding coefficient for each group.

With two exceptions, the compressive strengths of the population means,of each reck group in the present investigation have a 95% probability of

being within 25% of the sample means, R. In other words, the number of testsperformed for 26 of the 28 rock groups is greater than the number of testsrequired by equation (5.1) at the 5% level of significance and a limit ofaccuracy (confidence interval) equal to ± 25% R. For the standard deviationsobtained in this study, Group 3.3 requires nine tests for compressive strength

85

Page 105: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

TAI. C !2

R,• f C= F JTS f:, C C 1" FFICJ11 VlS 0F

Averao oNo. Tests Con•fficient of

• ~rft;Lr~9, •1r,-.ti e. r. varia•i•n. V 7,

Un I t ifh t 6-12 .5

•Cmpressive strength 3-8 7.6

Shore hardness (sides) 480-9S0 12.7

Shore hardness (ends) 24o0-4• 11.8

Schmidt hardness (all readings) 72-144 7.7

Scfl.midt hardness (high 50%) 36-72 4.7

.Ibrasitn hardness 4 15.3

T•,l' strength (point-load) 1-2 12.0

Initial tangent modulus (Ist cycle) 3-6 22.4

Tangent modulus (at 50% "a ult.) 3-6 11.3

Initial Poisson's ratio (1st cycle) 3-6 82.4

Poisson's ratio (at 50% aa ult.) 3-6 19.5

Dilatational wave velocity (100-150 psi) 6-12 2.7

Dilatational wave velocity (5,000 psi) 3-6 1.9

and only three were performed. Group 11.2 requires 18 tests and only threewere performed.

For the modulus of elasticity at 50% ultimate strength, three groupsdo not meet the above precision criteria. Group 3.2 requires five tests andthree were performed; Group 9.1 requires 19 tests and only five were per-formed; and Group 13.1 requires eight tests and six were performed.

The unit weight, Shore hardness, Schmidt hardness, and sonic velocityare well within the above precision criteria. Indeed, with few exceptions thepopulation means of these properties are within 10% of the sample means Pt the5% level of significance as computed by equation (5.1).

b. Correlation studies

Statistical methods of analysis were used for obtaining the least-square regression line, the standard error of estimate, and the coefficientof correlation for each set of variables. The statistical methods aredesrribed in Appendix C and are similar to those employed by Judd andliuber (1961).

86

Page 106: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

The cvcre:e a:ta govi:n in Sr..ction• rc.ýr for cnch rock prc;v.•rt,"y ::r, pvton standard keyi:;unch cards for co:<;,utCr C,1,lysis. Correlation and rcrssionprrgrems written by the Statistical Scrvicc Unit of tho University of Illinoils

id described In V :Inual of Cc.:auter Prcgraias for Statistical ft-ilysts,"were used in this study. SSUPAC consists of a collection of ICA ". coj-,ý:utlrprogr•ms stored pernmncntly on th; Il: 1301 Disk StcrCe; File. 1cclud-3 In telcollection are rn-:ny co:ý,.:mon statisticalA procneures, a cre-3pcto sc'rt ol bz•cmatrix an;d ra tio;-, and " .r prcc .. os for tV r,: nipul ,r', of c L or"•rto call a proOgrc;:• frc-- tie dlU k into t.. coi r:::ery r. dAy for u-' it is neces-sary only fcor th user to sut:ply a pr-o-•j.r..cl,, I card o v: I c' i i::cted te

name of the progrcm, follo,.ýd by whatever specific projrz.,:; paraz,,etgrs and datacards are rcquired.

The program output lists the mn-ns and standard deviations of all vari-ables, and the simple-correlation coefficients between all pairs of variables.The simple linear-regression coefficients and coordinote-axes Intercpts arealso listed. from which the least-square regression lines and correspondingequations are obtained. By transformaticn of the variables Into lo'jerithrtlcand square functions and denoting each of these as another variable. nonlinearrelationships, in many cases, were rnduccd to linear relationships c id sub-jected to the same methods of analysis. The SSUPAC program Is based on naturallogarithms, rather than comwan logarithms. Hence., another transfori,-ation tothe base 10 Is required when using this program. In all, 74 variables wereanalyzea in this manner.

The covariance matrices and standard errors of estrimate were obtainedfor selected pairs of variables by use of the SSUPAC I'ultiple Ccrrclation Pro-gram. In this program, it is necessary to specify In advance which variableis to be indepcndent, and which is to be depcndent. N'umerous other statisticalmatrices are included In the printed output of the program.

Each of the data plots presented In this section shows one %est-line"as determined by the method of least squares. The equation of this line isgiven on the face of the plot, along with the standard error of estimate, Sy.xand the coefficient of correlation. r. The coefficients of correlation areall significant at the 1% level. In most cases the X-variable is taken to beindependent and the Y-variable as dependent. Thus, the regression equationsand standard errors of estimate are given for "i on X". There are one or twoexceptions in which "A on Y" is given, but these are readily apparent and shownas sxoy y

3. PHYSICAL PROP.E•,TIES

a. Unit weight

The unit weight was the simplest property to determine and also showedthe least variation, equal to 0.5%. Unit weights ranged from the lower valueof 101 pcf for tuff (14.1) to the upper value of l•1l pcf for diabase (2.3).The average unit weight for all rock groups included in this study is 162.3 pcf.

87

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The ult cc>rc::.rssive str,:'th of a test specimcen Is definedherein as tho ratio of tVe l 1c_'.d at failure to the cross-sectionalarea of tho sccu.ýrn Leforc tho test. Failure was considered to have takenplace when a sdn &crp in epplicd led was observed and no further loadcould be suninortol. Thr mrjority of t!;e compressive strength tests in thisstudy can bc cliin.sficd as cither 'cr'"or shear failures. The latter issometiriu:•s t, rd"Ai . l" in wvich a plane of shear is inclined to theaxis of thC s - : (!>r&), .l2 .ccpt for spccimens cored parallcl tobeddln -or felleticn (n.g., schist 11.2 end limestone 6.3), "splitting" orlongitudinra fz1lures rarely occurrcd. Even in the case of sandstone (10.2),cored parallel to leddling, cone failures wcre usually obtained. however, innumerous instances, I.e.,, for hI~h-strcngth basalts and diabases, the failuresurfaces Intersected the ends of the specimen near the edges. This is anIndication .that the loading heads offered little or no end-confiningrestraint to the specimens. This was verified by placing a set of lateralSR-4 strain gagas near the end of a specimen, as well as at mid-height.The lateral strains obtained from those two sets of gages were identical.

By measuring the slope angle between a horizontal plane and theshear plane, the angle of internal friction, 6, can be approximated from theMohr-Coulomb failure theory. For the high-strength rocks, the computedfriction angle was found to be generally about 50. The lowest values of200-250 were computed for the schist (11.1), cored perpendicular to folia-tion. Friction angles for intact rock have been reported to range from 270to 58% with average values of approximately 480 (Deere., 1963a). Theoreti-cally, in order for the failure plane to be entirely located within thelength of a specimen, having a friction angle of 480 the L/D ratio shouldbe 2.6. Thus for NX-size cores, the required length would be on the orderof 5 1/2 inches, rather than approximately 4 3/8 inches as used in thepresent study.

The effect of rate of loading on the compressive strength was not apart of this study. According to Hardy (1959), there is no significant dif-ference In ultimate compressive strength determined by tests on specimens ofsimilar material using rates of loading of 100J 200, and 400 psi/sec. Asreported by Wuerker (1959), the effect of rate of stres5 application onconcretes was investigated by Watstein (1953). He found les, than a 5%Increase in strength when tested at 100 psi/sec as compared to 10 psi/sec.The increase was less than 10% even up to a stress rate of 1,000 psi/sec.(The same comparison and percentage increases were obtained for modulus ofelasticity.) The average rates of loading used in thepresent study variedfrom a minimum of 4 psi/sec to a maximum of 66 psi/sec. Average rates foreach rock group are given in Table 4.2.

An indication of the uniformity of testing procedures and homogeneityof the rock specimens Is given by the coefficient of variation. A minimumvariation of less than 1% was obtained for Barre granite (5.3), and a maximumvalue of 25% was obtained for the Luther Falls schist (11.2);, the lattercored parallel to the planes of foliation. The average coefficient ofvariation was computed to be slightly less than EM for the compressivestrengths measured for all rocks in this investigation.

88

Page 108: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

c. S!or P :• .

The noneostructivo !orc Lrdn.cs tests, for which a larger nurL;ber ofobservations wcere c'.taaIncd tLin for any other test, has an avorage ccefficic.itof variation of 12-13%. The avwrn-e coefficient of variation for the "as-cored" sides is not significantly different frcm that obtained for the lacnpcdends. In gener., th3 end readn. ars her than th3 sides; tV•.magnitude of this difference vcrs frc:m s tole to sa.:l. Tho nucr of sidobservatios Is th :r of tLhose ta!,en cn tC'3 end's. Pcat, c ofthese factors, c.-A the hic!icr Cc.-js of correlation of the results of sic,observations wit othr prcpertL•.sr, te side rc.dinC; arc uscd in t -hw, gr .. pi,ical relationships and discussiois prescntcd hcrcafter In this study.

d. Schmidt hardness

Inasmuch as erroneous readings tend to low values (SosmanP 1927), itappeared to be desirable to eliminate automatically a portion of the observa-tions obtained with the Schmidt h:cmer. Since the readings are taken uniformlyover all the specimen surface, It was somewhat arbitrarily decid'ed to selectthe high 50% of observations as being representative of the Scr midt hardnessfor any particular rock group. The average values for all readings., and alsothe high 50%, are both reported in the sumniary tables and show, somewhat sur-prisingly, very little difference. Average cocfficients of variation areapproximately 8% for all readings, and 5% for the high rO0" of readings.Average values of Schmidt hardness, for rocks in this study. range from 23through 59.

e. Abrasion hardness

The abrasion hardness tests exhibited the largst variations of allthe physical tests conducted. eO%:3ver, the average cocfficient Is on theorder of 15%,• which should be acceptable by most experimental standards.Unfortunately, time did not permit the modification and perfection of theequipment for a large number, or extensive control, of the tests. Althoughthe device performed satisfactorily for this series, prolonged use wouldrequire a more rugged design. The Veeder counter had to be replaced twice.The biggest problem was to obtain a means for a positive drive system, and atthe same time, produce a constant load on the specimen. The present beltdrive permits a constant load, but the critical balance between startingfriction and vertical load sometimes causes belt slippage. This Is parti-cularly observed In poorly-cemented, granular rocks, such as the Berea (10.1)and Navajo (10.3) sandstones, in which the particles ultimately become lodged

between the cut and the wheel, stopping rotation completely. The prototypeapparatus consisted of a right-angle,, dental handpiece, equipped with acable-drive system. This soon proved to be unsatisfactory because the cabledrive did not permit the application of a constant load on the cutter, andalso the bevel gears in the dental handpiece were not constructed for suchrugged applications. Therefore, the device was modified as described inSectioi Four. In general, the abrasion tests as conducted were surprisinglyreproducible, and gave the overall impression that further tests on addi-tional specimens of the same rock groups would produce essentially the sameresults.

89

F ' 'w * - - --.. . ... .... . .

Page 109: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

fbsorptlon v lvcs r'n;-cd fro, .iC% for the Pallsades diebase (2.1)to a •×zxrr;uni of 2141 for th-. VTS tuf ( O. 0). An average value of 3.2% wasobtained for all rocks tested. l{.cevcr, this has no particular signiflcanceas the rmajority of rocks tested were relatively dense and nonporous.

9. fint-lo~i t-.nsfl Ic r-nih

The avcrar.eo c:fficioent of variation for the point-load tensile strengthis com.puted to be 12%, es cc-;)rcd to 21" obtained by D'Andrea, Fischer andFogelson (05). l.wevcr, the latter performed an average of 17 tests for eachrock, and the results reported herein are obtained from two tests per rock group.

A series of preliminary tests was conducted on specimens of limestone(6.1), dolomite (3.1), and siltstone (13.1) in order to determine the effectof end (or edge) distance on the measured strength. Reichmuth (1963) Indi-cates the use of a distance greater than D/2 from the point load to the endof the core specimen. The preliminary tests showed quite conclusively that enddistance can be a significant factor in the magnitude of the point-load tensilestrengths. When the tensile strengths obtained for end distances of D werecompared to those of 0/2, they were found to be 15%, 33%, and 38% higher,respectively, for the limestone, dolomite, and siltstone. As a result, forthe data reported in Table 4.2. only one test was performed on each specimen,in order to maintain an end distance equal to the specimen diameter, D.

The primary problem in performing this test is in maintaining align-ment between the upper and lower., hardened-steel rods. These had to berealigned after each test. Even so, this is not a serious problem as thetest is rapidly performed, requiring approximately 10 minutes ;er test,including set-up. In addition. because the ends require no preparation, thetests can be performed rapidly on field core.

4. ELASTIC PROPERTIES

a. Modulus of deformation

Use of the terms, Young's modulus, elastic modulus, compression modu-lus, and modulus of deformation is normally clearly understood (and in factthe terms are interchangeable) for those materials which have linear stress-strain curves. In such cases. Young's modu'us, E, is simply the slope of thecurve, tan e; and also the ratio of the stress, (', to the strain, 6. This isshown by the relationship on the right-hand side of Figure 5.1. Thus forlinear stress-strain curves, the two methods for measuring E (tangent andtotal strain or secant method) give exactly the same results.

The shape of stress-strain curves for rock in compression is somewhatunusual among the common engineering materials, and may depart substantiallyfrom simple proportionality between a and C. Young's modulus, or the modulusof deformationY is a function of the applied stress as well as of the material.Most crystalline rocks have stress-strain curves similar to that shown in

90

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4?.C

w U

U)

(j)

91 (

Page 111: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

V V!,rc I (rKryn Ir -ý d JuKI 1W' lc'7; 12 racc, I _r) This fisureIs ty-1col of the srztcsi ivotnt - in th:. pre t prcdnt ty, At low stresses,thu curve is strongly nonlincar end cc.;-Xnv:- L%':,'n:rd; Young's ri:,:ulus Increasingas ths stress Is Incrcased. T;,• initi tc t nodulus is 9iven by the slopeof tfic stross-straln curve at thL origin, s bu.i by line a. Gradually, a stressis rcac~cd whoro the curve becc;%• --c ros•u.ly lincar •i.'e., betvween a1 and or2 ).In this region, the modulus of dzforr;:1ntion is defined either as the tangent modu-lus, el/e.. or the secant moeulus, alc, w,,hich is given by the slope of the lineOP. At this stress level, the seozint hos a lcuer value then the tangent medu-lus bociuse it Includes the initial '•lastic" stress history of the curve.

In addition to nonlincar elastic bch-vior, most rocks exhibit anelastic hysteresis. twevcr, unlike nonlinearity, according to W!alsh (19065),hysterosis is restricted to uniaxial compression and does not seem to occurduring hydrostatic compression. Under uniaxial stress, the slope of thestress-strain curve during unloading, PQ. (Figure 5.1), is initially greaterthan the slope during loading for all values of stress. As the stress isdecreased to zero, a residual strain OR is often observed. Sometimes thehysteresis loop closes at zero stress.

Reloading the rock specimen produces the curve RS which has a shapesimilar to OP, but is steeper. Further cycles of unloading and reloading tothe same maximum stress produce loops similar to PQRS, but moving slightly tothe right. These effects may be associated with transient creep (involving nopermanent set) or anelasticity, a term used by Jaeger (1962). The rock can beloaded to failure at T during any desired loading cycle.

The nonlinear elastic behavior of rocks under uniaxial compressioncan be attributed to the presence of pores or minute cracks, which at lowstresses are open (Ide, 1936; Jaeger, 1962; W!alsh., 1965). As the stress israised, cracks are closed and the rock becomes elastically stiffer, i.e,,Young's modulus increases with stress. Since most cracks in rock are quiteflat, nearly all are essentially closed by relatively small stresses. Abovethese stresses, no change in stiffness due to crack closure occurs and thestress-strain curve is linear. However, according to Walsh, Young's modulusin this portion of the stress-strain curve is still less than that for anequivalent, uncracked solid. This is because sliding of crack surfaces pasteach other may take place evei after a crack has closed during the loadingcycle.

The elastic hysteresis of crystalline rocks is explained by Walsh tobe the effect of friction between crack surfaces. Because of friction, crackswhich have undergone sliding during compression do not immediately slide inthe opposite sense when the load is reduced, thus a clockwise loop is formedas the stress is raised, then reduced to zero. Therefore, Young's modulus foran uncracked solid can be found from the initial slope of the unloading curvefor a specimen which has been stressed to the linear portion of the stress-strain curve. This is shown by PQ in Figure 5.1. Walsh states further thateven this modulus obtained during initial unloading is not necessarily thevalue obtained for a "solid" sample, since the rock may contain cavities otherthan cracks which do not close under pressure.

Typical stress-strain relationships of the rocks used in this study areshown graphically in Appendix B. These curves show that the behavior under two

92

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consecutive Ieodinngcyclcs is es~cnti:.lly a,• dcecriL-d Cbovc. Loading tofeilure during the third cycle occurs along t1i, lirne rcpresented by fST inFigure 5.1. However, since a rainimrmt period of 2 ,cks occurrcd between thosecond and third failure loading cycles, tho residual strain C1 is aSL....dto be zero. Cecause of the s;.ll order of m cnitude of aR observed in thepresent investigation this is probably a valid assuimption for all groupsexcept rock salt (9.11.

Stress-strain curvos for the 28 rock crc.2s In this study are typificdby the si:e type-s sho-n in Fi•.:ro 5.2. In reality, these consist of four bclsicshapes, since Types III, IV and V are each modifications of the ropresentativ3S-curve given in Figure 5.1. Type I is the classical, straicjht-lin3 bohaviorof brittle materials (Jaeger 1062). This is typical of the more exploslvefailures of the basalts, quartzite, one diabase, two dolomites, and the Solen-hofen limestone. The softer limestones, siltstone, and tuff, exhibit a moreconcave-downward, stress-strain Curve, s shewi.n by Type 11. These aregenerally scomewhat linear in the early and central portions of the curve)gradually yielding ',lastically" as failure is acpproached.

The Type-III curve is representative of ten rock groups. These includethe sandstones, granites, two diabases, one dolomite, and the schist coredkarallel to foliation. The three marbles and Dworshak gneiss are representedby the steeper Type-IV curve. Only the schist, cored prndicular to folia-tion, has the long sweeping S-shaped curve of Type V.

Each of the Types III IV and V is characterized by initial 'ýlastic"crack closing, followed by a definite steeper linear portion. The upper partof the curves exhibits varying degrees of plastic yield as failure is approached.Obviously, the Type-III rocks have more explosive, brittle-type failures (simi-ler to Type I) than either IV or V. The intensity, of course, is much greaterin the high-strength rocks, because of the larger amount of energy involved.The Type-VI curve for rock salt has an initial small elastic straight-lineportion, followed by a combination of plastic deformation and continuous creep.

As demonstrated in the foregoing discussions, stated values of elasticmoduli may have very little usefulness for a given engineering project, unlessthe conditions under which they were obtained are specified. Further, meaning-ful relationships with other rock properties are impossible unless the stresslevel., and the method for computing the moduli values are known, I.e., initial,secant or tangent at a specified stress level. It may also be important toknow whether they were determined from a first-loading curve, unloading, orreloading curve.

All of the curves shown in Figure 5.2 except the last exhibit a linearor straight-line portion in the central part of the curve. This was found tobe consistently the case for 27 rock groups at a stress level equal to 50% ofthe ultimate failure strength in compression, regardless of the magnitude ofthe strength. For rock sa!t, the linear portion is in the range of 10% ofthe ultimate strength.

Elastic moduli are reported for several stress levels in the summ-arytables of Section Four. All of these are computed by the tangent method, i.e.,the slope, dcr/dE. of the stress-strain curve at the particular stress level

93

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Typc I Ell,4,V' Z', C. IN,

4

1.2 BcSwlt 13.1 SiIfone

Typo 0I Plastic-Eicsfic Typo m P11gsic-Elfctic-Plstic

1 /

10.3 So~d0,r?2 7.1 Maoble

Type R Plastic-Elastic-Plastic Type X Elastic-Plostic-Creop

-. ___ I1. ,"stf 9.1 Rock Salt

R u S FOR ROCK IN4V. 4 A4"I TO FAILUF"2

54

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Indlcatc;d. ThIs reduces tlh influence of "strcss filHstory," or initial cffcctsof lar~o strcain at lower stress lcvlsl, and dc•1s only with tl'at pcrticn ofthe curve under study.

Two m•duli of deformtion are ccnsidorod to be sinificant to the pur-poses of this investigation; they are used exclusIvcnly In all discussions endcorrelations th3t follow. These cr , tc initll ;;nt r,-;-dulus, E• for tfjefirst-loading cycle, and th,. trnL.,cnt nradulus, . c t . ...... at a strc.ss e:>i l to50% of the u It f;:.te cc.,mprcss7vc strc.,; h dorirnj . .. . to fci lure,. T oe, ii.-tHal mroulus Is reprcsentcl by line -a In Figurc 5. ziid is given cýt th..- firststress incrcs.c-nt., 100-150 psi, in Ti'A:l1c 4.3. The tc;vý-ent ri'ejulus at 50% , (ul t.)is represented by line b in Figure 5.1, and Is a -,-d l;proxiation of 0lus of elasticity for the uncracked rock. Since the tangent m3adulus at 50%ultimate was measured during the third-loading cycle, at - •, this lin3would normally be shifted slightly to the right. oawever, because of theelapsed time between the second and third cycles, C% was assumed to decreaseto zero. This shifts the curve back to the left# in the vicinity of line b andthe upper part of the first loading curve OP. It Is clearly scan that the dif-ference between any of these values is not likely to be significant. The tan-gent modulus at 50% aa(Ult.) is given in !able 4.3 under the right-hand sectionentitled, "Static Elastic Properties (Loading to Failure)." The Initial tangentmodulus is also given for the third-Iceding cycle for co;-parison with the firstcycle in the left-hand section of Table 4.3.

The coefficient of variation for Ei (Ist cycle) is approximately 22%.This is rcughly twice the variation com:puted for Et at 50% Cra(ult.), which is11%. Such a relative variation is not surprising as the initial moduli areusually some,-what difficult to determine accurately because of problcms associ-ated with specimen seating and initial strain readings. According to Valsh(1965), Erace has minimized this error by extending the applied stress intothe tension region.

The tangent modulus values at 50% ultimate strength, as computed fromthe dial-.n strain measurements, were consistently 25-35% lower than those

obtained by the SR-4 qaqes. This difference may be explained qualitatively bythe probable presence of more numerous micro-cracks near the ends of the speci-men and, also, by additional seating imperfections which were not removedduring application of the seating load. Both of these potential sources ofvariation are obviously included in the dial-gage readings, but would not beincluded in the SR-4 gage readings.

b. Poisson's ratio

The shortening of a specimen under axial compressive stress is usuallyaccompanied by an increase in the cross-sectional area. The ratio of lateralunit deformation to linear unit deformation, within the elastic limitJ, is knownas Poissolts ratio.

Theoretically, Poisson's ratio may have values ranging between -1 and0.5. These minimum anid maxirnum values are determined by the following equa-tions" E

G E (5.2)

95

Page 115: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

and K 2/3 G (5.3)1-2v'

In which E - modulus of elasticityG - modulus of rigidity (or sh-nr r;;zdulus)K - bulk morlulus of elasticityv - Poisson's ratio

In equation 5.2, as the valu, of v approeches th0 value, v --1, the value ofG aproclh.s infinity and Lbzccn:s ncgetiv:z as v pases the vclue, V -1.flnce, the minlfrLm value of Poisson's ratio is v - -I. Similarly, in equation5.3, the meaixr•mm value of Poisson's ratio is v - 1/2. At this value the bulkmodulus, K, bccoeies inflnite and, for v > 1/2, K is negative (Seely and Smith,195q).

The nonlinearity of the stress-strain curves has an influen, ce onPoisson's ratio similar to that which it has on the modulus of deformation.The numerous factors discussed in the previous section arc therefore appli-cable to Poisson's ratio. Thus, Poisson's ratio. as given in Table 4.3, is thetangent to the curve relating lateral and lintar unit deformation. It isdefined by deh/dCv. at the Indicated levels of stress.

The average, initial value of Poisson's ratio for all rocks studied inthis Investigation, is 0.125. At a stress level of 50% ca(ult.), the averagePoisson's ratio is 0.341. The average coefficient of variation for the initialvalue of Poisson's ratio is 82%. Unfortunately, this reflects one disadvantageof the coefficient of variation, in that it fails to be useful when the propertymean is close to zero. The coefficient of variation for v at 0a a 50% %a(ult.)is 20%, which is considerably lower than the initial variation.

Negative values of Poisson's ratio were consistently observed for twomarbles (7.1 and 7.2) and one schist (11.1) at low stress levels. Althoughsuch values are In agreement with theory, the physical concept of this phenom-enon is not clearly understood. It should be noted here that other investi-gators have also observed negative values for Poisson's ratio (i.e., Windes,1950; Blair, 1955; Wuerker, 1953). Perhaps other parameters are required fordefining the elastic behavior of anisotropic materials, in addition to the"constants" given by elastic theory.

c. Dilatational wave velocity

According to Rinehart et al. (1961) the propagation velocity, Vp, ofdilatational stress waves in rocks depend! on the following factors: the stateof stress, stress level of the wave, water content, porositv, temperature,direction of propagation with respect to stratification of tne rock. and tex-tiare. $m,* of thesp factors have previously been studied quite thoroughly;others, such as thOe stress intensity of the wave, have not been investigatedes yet,

Tlht lrr"fiu:•. of state of stress upon the propagation velocity of P-itir,:,4,•, v-:, kn• ,•,n ('rocher, 1957; Wyllie, Gregory, and Gardner,

1K1).• •i U,; Vc'rIc,,"v ty Increases when pressure Increases. It has been

96

• yr, .. ' -'" •• :° ••'".. ""• " "•" • ........ . ; J....'• ."h. '. - -

Page 116: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

shown in each of these references that P-,ave velocities, m2asured In thesamne directipi as the applied uniaxial pressure, an•cr to be equivalent tovelocities obtained with the same speciman under uniform (hydrostatic) ortriaxial compression of the same intensity. VIhen the velocity was measuredin a direction pnrpendicular to the stress in a unlaxial test, Tocher foundvalues 10% lower than those measured parallel to the stress. The relativesimplicity of the experimental apparatus and the technique required foruniaxial compression make the use of this test attractive for many purposes.

As described in Section Four, all sonic velocity tests in thisinvestigation were conducted under uniaxial cor.;pressicn. The measureddilatational wave velocities, Vp, for the 28 rock groups at a seating loadof 100-150 psi, vary from about 6,000 fps to a little more than 20,000 fps.Rinehart et al. (1961) state that for rocks with a well-defined texture therange of propagation velocity is relatively narrow, not exceeding 15%. Theyalso state that for rock of the same type, but of a different origin, thevelocities may range over a six-fold interval. Generally, rocks which aremore dense and compact have higher velocities. Those which are legs densehave lower velocities. In the present study, Solenhofen limestone (6.3) hasa velocity 1 1/2 times that of Bedford limestone (6.1). Danby marble (7.5)has a velocity nearly 2 1/2 times the velocity of Taconic marble (7.1).

For most rocks, propagation velocities increase with an increase instress. When the stress increases from 115 psi to 5,000 psi (340 bars), theP-wave velocity in Taconic marble increases 125% above the initial výIue (i.e.,2 1/4 times). On the other hand, for Danby marble, VP increases only 13% forthe same stress increase. The largest effect of stress increase is observedin the Luther Falls schist (01.0), for which VP increases by 132%. Thesmallest effect of stress Increase on the dilatational wave velocity isexhibited by the Solenhofen limestone, in which Vp increases by less than 1/4%.

Rinehart et al. (1961) report that propagation velocity in rocksgenerally increases 10 to 13% above the initial value, when ambient pressureincreases from 1 to 500 bars. Only six rock groups in the present study fallwithin this range. The majority (13 groups) fall within the range of 2 to10% increase in Vp. Four groups, increase by less than 2%; three groupsIncrease by 30 to 70%; and two, mentioned previously, by more than 100%.

The average coefficients of variation for the dilatational wavevelocity measurements are smaller than for any other property except forunit weight. At a stress level of 100-150 psi, V0! is 2.7, and at 5,000 psiV% Is 1.9; the relative order being as expected.

The increase in Vp with increasing axial stress is concluded as beingthe result of the closing of micro-cracks. A transient stress pulse cannot betransmitted across narrow air gaps without very large loss in amplitude (U. S.Bureau of Reclamation, 1948). When there is no press-ire on the rock, the opencracks impede the progress of the wave, which must then travel around thecracks. This transit time is greater than the transit time of a wave whichcould travel directly in an unfractured rock, or a rock in which pressurecloses the cracks (Zisman, 1933; Rinehart et al., 1961). Wyllie, Gregory, andGardner (1958) conclude that In order "to obtain simple and meaningful datafrom natural, consolidated rocks it is necessary to apply a large (differential)

97

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pressure so thnt a tcrr.An1,l velocity is rppr¢,c!ýd. Uc'.r t• x7c circ.z,•tzt•rcs,the rf d`I rs tcrJcLT Lc con eid .rcd j:zrfcctly L 'n dn!:.-; "t lc . pr surcsa totIc fIZS& and c r ac!,s In tV w n trIx I ..!cr the r,-. 2eurcd v lc.i oty zprercaI

The fla:arcs in f,,>pcnrdIx s•'cwa the effect o,' variation In stress on Vfor typical specim-:ns of all rock groups in this study. It is noted that ingeneral the velocitics r;,:asurcd dur!ng unloading are hi!:ir thr•n those measurcdduring loding. Just Cs for the modulus of d fornotion, E, tha rcescn for thishysteresis effect is pro'ebly due to friction bet:i:n crack surfzccs, whichprevceintts 1lin in Via cý.posite scnrie (hOnce, crack c;;cninn) ir.idIatoly aftcrthe ic:d i• rcc~ucod. The factors affcting th• eleltic pr <:ctrs, E and v.should sirilarly influcncc Vp, as s"•e::in by the fol lo,:ing quation• :

p-

in which VP 5 dilatational wave velocity In an unbounded madiumE - Youngos modulusv - Poisson 's ratio

- mass density (2)9

This equation assumes that the static and dynamic properties are interchangeable.The validity and irrmlications of this assumption are discussed later in thechapter.

(2) Water content and porosity

The influence of water content upon the dilatational wave velocity wasnot Included In this investigation. As noted in Section Four, all rocks startedfrom an Initially oven-dry condition, then remained open to the ambient air ofthe laboratory for at least 2 weeks before testing. Gain in moisture contentduring this period was ir'perceptible. The influence of absorption or porosityupon Vp Is discussed in a later part of this section.

(3) Temperature

Rinehart et al. (1961) report that an increase in temperature generallycauses a decrease in velocity of from I to 5% per 100*C. at atmospheric pres-sure. The decrease is attributed to unequal expansion of the crystals as thetemperature rises, which may cause some internal cracking. Thus when coolingtakes place, the crystals may be more loosely joined. At higher stresses, thiseffect, disappears as would be expected. The effect of oven-drying on VP wasbriefly studied on one specimen from each of 12 rock groups. These are listedIn Table 5.2, and show the percent change in V at 100-150 psi following oven-drying, compared to V prior to oven-drying. fxcept for Groups 3.2 and 7.2,the changes agree witg the information given by Rinehart et al. The 21.6%decrease in Vp shown by 7.2 indicates that this effect might be related to thevery large grain size of this marble and, corresponding, nonuniform expansionand contractibn. Corrections to the velocities reported for this group at thelowest stress level may be justified. However, the 8.5% decrease shown by 3.2is within acceptable limits.

(4) Stratification

The velocity pirallel to the layering and stratification in rocks is

usualiy greater than the velocity perpendicular to the layers. The effects of

98

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TA1LE 5.2

DZLAIVIC,2L'ý- uJ tPI-IY rjL

Percent

Incrce•s or

1.2 6-3selt (Little C•oc) 01

1.3 NJS El t ( j E., )

2.2 Diabase (Co.gins) -2.2

2.3 Diabase (French Creck) 0

3.2 Dolomiite (Lockport) -8.5

3.3 Dolomite (Donne Terre) " .25

5.3 Granitc (Darre) - .6

6.3 Limestone (Solenhofen) .1

7.2 Marble (Cherokee) -21.6

10.2 Sandstone (CraL Orchard) - .25

10.3 Sandstone (ravajo) -1

11.2 Schist (Luther Falls) II 0

anisotropy, which is characteristic of most rocks, were not a part of this(nvestigation. 1 1o.v2:r) a comparison of the Luther Falls schist specimens(11.1 and 11.2), which are from the same sermple and oriented at right angles,illustrate this effect. The anisotropy factor is defined as the ratio of thevelocity along layers or cleavages to the velocity perpendicular to them(Rinehart et al., 1961). For the Luther Falls schist this ratio is 3.1:1 ata stress level of 110 psi, and 1.4:1 at a stress of 5,000 psi. The influenceof the level of stress is seen to be quite an important variable in this case.The maximum value reported by Rinehart is 1.36:1 for a mica-schist fromWoodsville, Vermont.

5. RELATIONSHIPS AMONG VARIOUS PHYSICAL PROPERTIES

Simple linear-regression lines, relating the more significant physicalproperties, are shown graphically In Figures 5.3 through 5.9. Their signifi-cance and inclusion herein are based primarily upon their usefulness in thedevelopment of index properties for rock. In general, a relatively high degreeof correlation, as indicated by the coefficient. r, is shown.

a. Unit weight and cc,-resslve strength

Figure 5.3 shows the relationship between unit weight and coqyressivastrength. This figure indicates that the more compact and denser rocks

99

Page 119: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

I~ IIVI) ~

Q U

2

C - U- -~17 _ __

w:

I&OD 0

-------------------------------- - -w tCL

CD

-6 w

a0 02 o

ro x id (4gn)oo '44UC74S GAA!SO~dWO:)

100

Page 120: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

generally hl.,v' a hlCher str.r...h thz those of leer &7risity, &s wo,1d.ex×ected. There is, hc,:3vcr, cc-,sidorable scatter frc7, the Icnst-squ; rcsline. In fact, ahove 160 pcf th!is relationship is not ell-defined. Themost notable exceptions to the suggested relationship are the marbles (7.1,7.2, and 7.5), which are grouped closely togsther sce distance belowi teline. The reason for this bchavior is not corrpletely understood althOUC, h boththe strength of the calcite grains and the nature of the bonding bte . rainsare involved. The correlation coefficicnt, r .014 for t e two rIs essentially identical with thet ob.tained by Judd a.d L'zLr (1§l), ,eyob tain:,d, r .*59, for the <rp-, r'ent speci fi c rovi ty a,, cc:Ore sivs str r:"eo-"thfroei thie U%',• data. On the otLhr Mand, D0Andrca et al. *.(l..) o!)tair,• r3 r ý, .7.1.The relationship betw-en unit ,,icht and cc:epressi t strcngth is discussed ingreater detail in Section Six, in the development and formulation of indexproperty designations.

b. Shore hardness and cer2-ressive strenqth

The relationship between Shore hardness and compressive strength inFigure 5.4 is comparable to the plots shown in Figures 3.5 and 3.6. However,the relationship cra(ult.) = 300 Sh, as suggested by Figure 3.5, diverges ap-preciably from the least-squares regression line, defined in Figure 5.4. Theslope of the latter is closer to the "500 Sh" line given in the USOM data inFigure 3.6. Because of the difference in L/D ratio, the reported strengthsherein should be increased by approximately 12.5,10 when they are compared withthe USU4 data. Closer examination of these. as well as the referenced data,indicates tha. a curvilinear relationship between compressive strength andShore hardness may be more apprcpriate.

The correlation coefficient reported by Judd and Huber (1961) betweenShore hardness and compressive strength is r = .71. This is somewhat lowerthan for either the ends, r = .874, or the sides, r = .897, reported herein.The former data, however, include a greater variety of rock types, many ofwhich would not generally be encountered in civil engineering projects. Therelationship between Shore hardness and compressive strength is discussed inmore detaii in Section Six, in the development of index property designations.

c. Schmidt hardness and comrressive strength

Figure 5.5 shows the arithmetic relationship between Schmidt hardnessand compressive strength. Although the correlation, in which r - .880, appearsto be quite "good," a curvilinear relationship is very strongly suggested bythe individual data points. Below R - 40, the points tend to become asymptoticto the X-axis. Above R - 55, the points tend to become parallel with'theY-axis. The relationship between Schmidt hardness and compressive strength isdiscussed in greater detail in Section Six, in the development and formulationof index property designations.

d. Abrasion hardness and corm ressive strenth

The relationship between abrasion hardness and compressive strength,shown in Figure 5.6, is remarkably similar to the USB1, data, plotted in Figure3.4, even though completely different methods were employed to measure theabrasion properties. If the strenoth values in Figure 5.6 were increased by

101

Page 121: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

~a raw~ ~.a~flr, -el .r!~ ~ 1n ~ st ~ ~ S~~ATfIC77 v -.1"C"-7

1111 ij%% WL0 180

30 -- - -6 -0

20V

to

014.I

0 L1 , 1 1 L I A0 20 0 soso to Ig

Shor -- -nn -h - - - - -

ROC INA~!`00 -- - - -- -02

Page 122: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

i 1 JiiD

_ _ _ _ I. 1 \ f : . I -

ZI, to

OD Ir- LaJ

b ow

tx 9!d %4n)~uz 227 0:]

Page 123: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

V Iý

300,c

-

*l I0 001toS30 40_0s

Co pasit S WV~.117,q (l),p x1

ROC IN -IIXA

10

Page 124: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

12.5q (because of the diffcrence in L/D ratio),, tliese tvo plots wouli bemore similar.

The trend indicated by the rnirbles (7.1, 7.2, and 7.5), schists (11.1and 11.2), the one granite (5.1), (i.e., divergence frcn the regression lirc )may possibly be explained on the basis of their grain structure. Althoushtheir mineral constituents have average abrasion properties co;:earable toother rocks having higher strengths, t;he actual strength is governed by Ct--bond (or lack of bond) betwc:n the individual grains. The coorscr-graarcldmarbles (7.5 and 7.2) dcpart frcm, thz' r'elationship nmore thln the finc>g:•one (7.1). The Caraboo quartzite (3.1), which has a very high abrasion h l-ness., also falls below (to the left of) the least-squares regression line.This rock, althcugh welded and made up of fine grains, typically containsnumerous bedding planes and intermittent micro-cracks related to its geologichistory, which lower the strength of the intact specimen.

e. Absorption and corIpressive strenq.th

The regression line in Figure 5.7 indicates that the compressivestrength for rock decreases with increasing absorption (or porosity). Thiswould be the expected relation; however, the scatter of the data shows quiteclearly that some rocks having low porosity may also have low strength. Overone-half of the rocks have atorption values of less than 1%. For the semi-logarithmic plot of Figure 5.7, the correlation ccefficient r is - .429 (theminus sign indicates inverse relation). 1then plotted arithmetically (rotshown), r is - .496. This is closer to the value obtained by Judd and Huber(1961) in which r = - .48. (They do not record the minus sign, but theirscatter-gram indicates this to be the case,)

Griffith (1937) suggests that the averare compressive strength of sili-cate rocks can be reasonably predicted by the following formula:

8 .000(ulto) -- (5-5)

in which A - sensible absorption of water by weight, expressed as a rercentagea-a(ult.) - uniaxial compressive strength in psi.

This curve is shown in Figure 5.7, and is ho~ed to be generally parallel to theleast-squares line for absor-ption values greater than 1%. For lower values ofabsorption, the lines diverge. Griffith suggests that one reason for the scat-ter usually obtained in the region of low absorption (i.e., less than I to 4%)is that there are no very precise methods of measuring absorption near the zerolimit. For example, a sensible (or measurable) absorption of 0.25% may actuallybe an insensible (or undetectable) absorption less than the parametric value 4k%.Thus., rocks with high strengths, near A OP should be plotted In a region ofinsensible absorption (O 0 A. < 4%), Instead of as functions of A. Griffith'sexplanation seems to be plausible but appears to leave room for personal bias,and/or judgment, for engineering application.

f. Point-load tensile strength and comire~sive strength

Simple regression between point-load tensile strength and unlaxial com-pressive strength, as shown in Figure 5.8, reveals a relatively high degree ofcorrelation. Line A includes all data, in which r - .917. D'Andrea et al.

105

Page 125: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

I I.O

___ __ --1 s----___ -

_ _ _ _ _ _COD

?II

- 0

'0 LcJ-

crz

X >

___~~ ~ w0_ _I9.

I~~r u o-.-

N.Jb

106

Page 126: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

5ht) 20I r T + ,2O I

,o 40 . ,------ _ __

,,n I• I -!

20 /.-.- i *1 / .#0 3 1

.- _ _' o_ -10 in~ ~ ~ QaU~t)212T3,57

5i6It--__ - - ____v 30

0 4 2.2

PO/ -L-' T"i Line 8 mi t 6.3)S1. S 4,861 - --

I • ; r :.949

10111

0 .4 .o 2•• o's 2.0 2 4

Point-Lood Tensile Strength, T, psi x 103

FIGURE 5.8 RELATIONSHIP BETWEEN AVERAGE VALUE4-S OF POINdT--LOAD TENSILE STRENGTH A11;'D ULTIMIA.TE COM-PRZSCIVESTREN•GTH FOn ROCK IN U"JtAXIAL COi PiFiESSkO'Ci'

107

Page 127: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

(l1SZ•) ruport a better corrclation, in which r - .S7 and sv~ 3,744; psi.This Is almost one-half thtl stand:rd error of estir-tc showXbj Line A. Thereason for this is prcnbely, in part, due to the n:sth-d of least squares for"fitting" dota. This method has the disadvantae: of un~desirable weightingbeing given to extreme values, because the differcnccs from the mean aresquared. For example, the Solenhofen limestone (0.3) has.a high compressivestrength, but is very brittle and has an unusually lowi tensile strength. If6.3 is omitted from this relationship, Line B is glver, in which r - .9049 andsyx 4C51 psi. These values arc in considcrlbly better agreement with thoseobtained by D'Anddce et al.

Data plots rilating point-load tensile strength with either Shorehardness, abrasion hardness, or Schmidt hardness, produce a pattern similarto each of these variables when related to compressive strength. This shouldbe expected, because of the relatively high degree of correlation betweentensile and comprqsivP strength given in Figure 5.8.

g. Shore hardness and abrasion ha-dness

Figure 5.9 is quite comparable to Figure 3.2, from USOM data, eventhough two different methods were used for determining abrasion hardness.Both sets of these data suggest a curvilinear relationship; however, thisemphasis is stronger in Figure 3.2.

6. RELATIONSHIPS AMONG PHYSICAL AND FIASTIL PROPERTIES

Figures 5.10 through 5.;9 contain plots of aver'ge data, which showthe relationships among significant physical and elastic properties, andalso among the elastic properties themselves. Simple linear-regression lines,along with their corresponding equations, coefficients of correlation, andstandard errors of estimate are also shown, just as in the previous part.

a. Unit weight and tangent modulus of deformation

The relationship between unit weight and tangent modulus at 50% ulti-mate strength is shown in Figure 5.10. This relationship is more highlycorrelated (r = .784) than the initial modulus and unit weight, for whichr - .619 (not shown). In both cases, however. the deformation moduli forintact rock specimens gzneclly increase propor-ionally with the unit weight.Approximately one-half of the rock groups investigated fall within the rangeof 160-170 pcf. In this zone, the relation between unit weight and modulusis not so clearly defined. The relationship between unit weight and tangentmodulus is discussed further in Section Six, in the development of indexproperty designations.

b. Compressive strength and moduli of deformation

Figures 5.11 and 5.12 both show the relationship btween compressivestrength and the static moduli of deformation. Figure 5.11, on which areplotted the initial modulus values, shows a slightly greater standard errorand lower correlation coefficient (r - .815) thar, Figure 5.12 (r = .828).Although neither regression line passes precisely through the origin, both

108

Page 128: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

A'h 3.23 Sh-5 2 .3

Sy.l= 51.6

r :.858400

300

t-

"- 250

6.) ___0

__

2 3

2o10200+ 5 3

o gto 2

01

.ISI

IiL

c0 20611

50

___ s

131../ .,_ _

,,

O0 2 00 ,310•• 2

Shore Hcrdn•*,s, Sp, (S-, id- -- )

FIGUFE 5.9 RELATIONSHIP EETWEEN AVERAGE , VAL."..•"S OF SHO .RE

HARDNESS AND ABRASION iiARDNESS FOR ROCK

109

Page 129: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

4 I14

Fit

I 1LU

zoz 0L

-C -- -0 ~

ow0 w

_ _ _j

Wu)

0 c wLJ

0

fin wO

.- in ". -

1100

Page 130: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

- - - ~-T

-. 7

CC,

UU

____ ___ ___ _ _20

- -__ _ 17 __PC

___ __ _ _ __ _ _ __ _ _ __ ___ C,) ;

f~~u 0 ~L3(

41) s

+_ _ _ _ - i

0 oCL

Z(/

.9. w J

01 x- isd '(1n 40 wo5 I AI~iw :

Page 131: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

V -10 J-t~~w~

I i'I

2;5 u~.

CL 0I0 _ _ _

04 0U"C

wI

vN. 1. 5O<,

u >_ 0-~

-.0

SiW N LL -'S it

(D C)

p 3 0 0z-Jz

Co6-~ - x

0O0

00CD

N ;i - c4

.0 F -

0 _jI

112

Page 132: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

arc rcsoncbly close. The ratio of th(e irnitial modulus to the compressivestrc'nith, as sho.,n in Figure 5.11, is 365 to '. The ratio of the tangentmodulus (at 50 '/, ultýimate) to the compressive strength is shown as 300 to I,in Figure 5.12. Both of these riots show a higher decgree of correlation thanthat reported by either Judd and Huber (1961) or D'Andrea et al. (1964) forthe dynamic modulus and compres:ive st'ength. For these, r = .68 and .72,respectively. The relationship between corpr~ssive strength and the tangentmodulus of ceformation is utilize.d in the dev oremcnt of an engineering clas-sification system for rock. This system is presented in Section Six.

c. Shore hardness and tanrent mcdulus of dclformition

Boti. methods cf rebound hardness (Shore and Schmidt) employed in thisstudy demonstrate a reasonable degree of correlation with the tangent modulusat 50% ultimate strength. Correlation with Shore hardness (which hes thehigher correlation coefficient of the two relationships) is shown in Figure5.13. In general, the tangent modulus inceases proportionally with Shorehardness. There is a i.oticeably distinct. vacant zone which parallels andincludes the least-squares regression line below Sh = 70. Up to this value,the data are at a distance approximately equal to s *x from the regressionline. This relation is also more or less typical ofthe initial modulus forall values of Shore hardnes-, but this plot is not included.

M. M. Protcdyekonov (1963) suggests an empirical formula relatingShore hnrdness, SO with the modulus of longitudinal compression, E, inkg/cm2 as follows:

E = 1.07 x 106 5h 2 (5.6)=15-S kg/cm2 56

5 h

This equation is plotted in Figure 5.13, and appears to represent all the dataas well as or better than the least squares line up to Sh = 60-70. Above thisvalue, the line diverges considerably upward, away from both the data obtainedherein and the resulting regression line. The data from which Protodyakonovderived this equation was not presented. Therefore, it is difficult to arriveat a reasonable explanation for the apparent differences.

d. Schmidt hardness and tangent modulus of deformation

Figure 5.14 shows the relationship of tangent modulus with Schmidthardness. This plot resembles the plot relating ,unit wei ht and modulus (Fig-ure 5.10), however, the correlation coefficient (r = .731) is slightly lessfor this relation, but the data are more evenly distributed. Most notablescatter occurs in the zone between R = 28 to 40, in which schist (11.2) andtuff (14.1) show the greatest deviations. The relationship between initialmodulus and Schmidt hardnress (not shown), for which r - .705, has a similarpattern, but the scatter is more pronounced. The relationship between Schmidthardness and tangent modulus is discussed in greater detail in Section Six,in the developmnnt and formulation of index property designations.

e. Absorption and tangent modulus of deformation

The semilogarithmic plot in Figure 5.15 shows the relationship betweenabsorption and tangent modl'us at one-half ultimate strength. An inverserelation is indicated, as expected, in which the modulus decreases as the

113

Page 133: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

0) E otlaid frcm strcifht-'ir- !partion v-c curvm, i.e., Ot StrC.3 S

c %:,l0030 % 0,(ultl), etccu? fo~r ___ __14 , '- 0% 9A 0 (utt) 1 % C

12 vs

Et 1 107,1; Sh + 1.67 x 10'/2.56 x t0 r I8i

r : 746 / . ...- .

• N I

0 " "3

3p5

9; I [email protected]

-Protodyokonov (1963)

0 1-.

O0 20 40 60 100 120

Shore Hardn•3s, Sh (Sides)FIGURE 5.i3RELATIONSHIP BETWEEN AVERAGE VALUES OF SHORE

HARDNESS AND TANGENT tkODULUS OF DEFORfrATION ATSTRESS LEVEL OF ONE--HALF ULTIMATE STRENGTH FORROCK IN UNIAXIAL CO4-SZ$SION

114

Page 134: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

IIIIIIi

< UIf ~ ~ ~*A.\~lot";I I~iIl

L: L Ii f

I~ 94

pjq

CzI-__0 __ ___ i

0*0

0 D 0- i0-

- l Ion_ __ _ _ _K__

I I ~~ -- C) _ _ _

.4ra U. o ~

(0114s) 1 xisd 13lrripor 4uouc,

___ _ __ __ __ _ ~ _ __115J

Page 135: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

_) z1----.- C

- - - - - -

Wi0

0

CL >. WI

IonW

~wu

v 0 *. =-c()

o oW 0

000 **- 0

- - -N W W

w 300c- 2 7 -

002 I -L0

110

Page 136: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

I xx

__ I I~ ~ toi-j <

~, xr I Iw 27

0.

C/

-z ___ * ,:

__ ____ _ _ ____ DLU

-0a:

01

V7 w D

mw.-. C -o -0

V 0n

c6 _o

o z

o

z'- _ - S _

00

il isd '(11n) 00 'Lf8uOJIS OA!SSaidwo:)"IC

Page 137: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

- Ld

(n)

ow t

~0.-A 'ALL

'0 p-

* ~WW

C)

0~0

a -d 0

bU *

00

C- w ~

-i 2. N I--

CD ODd '(9l o'IuBz AU0d

001

Page 138: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

ar-, re' son•c ly -Ic;,, . The rat i o.f th nit Jl rt..o ,ulus to the cc) rire!ss vecstrength, es sh>.',n in Fi jure 5.11, is 385 to L The ratio of the tangent

modulus (at 50'/ ultimate) to the ccripressivŽ strength is show,,n as 300 to I,

in Figure 5.12. Both of these plots shcm• a hich,:-r degree of correlation thanthat reported by either Judd and Huber (19l6) or D'Andrea et al. (19664) forthe dynaamic modulus and corpresivc strength. For these, r = .68 and .72,

respectively. The relationship between co!-.pr~ssive strength and the tang2ntmodulus of deformation is utili'f,:d in tthe deve'o,-m:2nt of an engincering clas-sification system for rock. This system is present.d in Section Six.

c. Shore h,-ir(r'fss and tanc-rit r:,ordulus of dw:formation

eoti. methods cf rebound hardness (Shore and Schmidt) employed in thisstudy demonstrate a reasonable degree of correlation with the tangent modulusat 50% ultimate strength. Correlation with Shore hardness (which hes thehigher correlation coefficient of the two relationships) is shown in Figure5.13. In general, the tangent modulus increases proportionally with Shorehardness. There is a i.oticeably distinct, vacant zone which parallels andincludes the least--squares regression line below Sh = 70. Up to this value,the data are at a distance approximately equal to s5 x from the regressionline. This relation is also more or less typical ot'the initial modulus forall values of Shore hardness, but this plot is not included.

H. H. Protcdyakonov (1963) suggests an empirical formula relatingShore hardness, ShO with the modulus of longitudinal compression, EY inkg/cm2 as follows:

E = 1.07 x 106 kg/cm2 (5.6)154-S h

This equation is plotted in Figure 5.13, and appears to represent all the dataas well as or better than the least squares line up to Sh = 60-70. Above thisvatue, th," line diverges considerably upward, away from both the data obtainedherein and the resulting regression line. The data from which Protodyakonovderived this equation was not presented. Therefore, it is difficult to arriveat a reasonable explanation for the apparent differences.

d. Schmidt hardness and tangent modulus of deformation

Figure 5.14 shows the relationship of tangent modulus with Schmidthardness. This plot resembles the plot relating unit wei ht and modulus (Fig-ure 5.10), however, the correlation coefficient (r = .731) is slightly lessfor this relation, but the data are more evenly dAstributed. Most notablescatter occurs in the zone between R = 28 to 40, in which schist (11.2) andtuff (14.1) show the greatest deviations. The relationship between initialmodulus and Schmidt hardness (not shown), for which r - .705, has a similarpattern, but the scatter is more pronounced. The relationship between Schmidthardness and tangent modulus is dis-ussed in greater detail in Section Six,in the development and formulation of index property designations.

e. Absorption and tannent modulus of deformation

The semilogarithmic plot in Figure 5.15 shows the relationship betweenabsorption and tangent mod,2us at one-half ultimate strength. An inverserelation is indicated, as expected, irn which the modulus decreases as the

113

Page 139: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

IIF ,rc tr~- i i

portion 7-c curv.3, i.e., ot 'Orr:•IeveI a-,-0 % %(ult), e•c:;- fý;r _

9.1 0 I0 % 014(u01)

12 .. . .. . . . •E:107,1 h S 167 x 108i . t:iO7,1I5 . eL.ieaI # h

1 yez 2.56 x 10' r.al ' ,.

"o. r.746 -

to)

'I- - - -

00

6 2

Ii) 6 i . . _,,,., -....

Protodyakonow (1963)

00

St141

0 /-1 -10 20 40 60 90 100 120

Shore Hcrdness, Sh (Sides)FIGURE 5.13RELATIONSHIP CETWEEN AVERAGE VALUES OF SHORE

HARDNESS AND TANGENT '.;ODULUS OF DEFORMATION ATSTRESS LEVEL OF ONE-.HALF ULTIMATE STRENGTH FORROCK IN U1IAXIAL COMWR.$SSION

114

Page 140: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

V J400

SL4

X <

0~0

'U__ .L ~K I -''0X

~;-j w -;L.. .. - fi3AcF-~ 1 *M

N t7~J

L17 b in-. ~

0 0

6 .

1151

Page 141: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

C6- -IC0 - L

____ ____ ___ ___ __ _ __ _ J

C~i US

'N wo

.0 2!

- S. _ _ _ _ I _ _ _ _

*0 wCL_ _ _ -- - - _ _ _ _--

-~~~~~~ - __ _ -w~no>

-+ - IV 0- 1----

4b0

w

n'U

3) 01xld 1 snnOtDua ______ _ _ __

4116

Page 142: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

absorption (or porosity) increases. This relation is better than the one forthe initial modulus values,, for which scatter is so broad below 2% absorptionas to obscure any consistent relationship.

Hamrol (1961) describes the use of absorption as a parameter for indi-cating the degree of alteration or weathering of rocks, which is termed thequality index i. He presents data relating the modulus of elasticity and thequality index (or absorption) for extremely weathered granites. Because ofthis correlation and its simple determinaticr, Rocha (1964) describes the use-fulness of the quality index as a means for -o,•trolling the ,depth for founda-tion excavation in rock. Also, it can be used during the exploration ofextensive areas for accurate zoning in rock surveys in order to reduce thenumber of in-situ tests.

The information given by Hamroi and Rocha impressively demonstratesthe usefulness of absorption as an index of deformation quality at a particu-lar site, for a given rock type, subjected to the same general conditions ofalteration and weathering. The data, presented in Figure 5.15, seem to indicatethat this relationship may not be so clearly defined when several rock typesfrom different sources are all included on the same plot.

f. Unit weight and sonic velocity

Sonic velocity, at a stress of 5,000 psi, is shown in Figure 5.16 tobe higher for rocks with higher unit weights as expected. This is not thecase at low stress levels, in the vicinity of 100-150 psi. Whereas there isno detectable difference in unit weight at low stresses, the sonic velocityis strongly influenced by open micro-cracks, as previously discussed. There-fore, rocks with unit weights in the general range of 160 to 180 pcf may havevelocities from 6,000-20.000 fps at low stress levels. As the pressure isincrca-c to 5,000 psi the velocities increase and shift to the right, result-ing in the relation as shown.

g. Sonic velocity and moduli of deformation

Figures 5.17 and 5.18 show the relationships between sonic velocity andthe static moduli o4 deformation for two different str-ss levels. The least-squares regression lines defined in these plots have remarkable parallelslopes. However, the regression line in Figure 5.18 is shifted to the rightand downward from that of Figure 5.17 because of increasing the stress level.

The combined changes in velocity and modulus, resulting from increasedstress, are more clearly shown in Figure 5.19. In general, rocks in the lowerhalf of this plot show relatively large increases in both modulus and sonicvelocities when the stress is raised from 100 psi to 5,000 psi. These havestress-strain curves (Types III, IV, and V) which are initially concave upward,and have initial modulus values which are lower than the tangent modulus at50% ultimate. Exceptions to this are shown by 3.1, 9.1, 13.1, and 14.1.

Rocks in the upper half of the plot show very little increase in velo-city, but, in general, show a decrease in modulus when the stress is raised.These have stress-strain curves (Types I and II) which are initially convex

117

Page 143: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

ow

- 6. x, ++

I 0~

--.- P_ t-,!- +

Ci

C.

"0 <

(n

'Z" U

010

W a

o') - 0

_• 'LL~

O 3~0

CC

0 N 0->.0I , - --- 0>0 CD

t)I (D 1

0 A -----4

- - (.0

jod '*A( '145ioMf i!urn Ajo

118

Page 144: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

1-, /,Note: 2.3

0i Doto from Ist looding cycle

14- 1 4_ _ _ - - - - _

I I /21

E1 :1,006 V1P-8.05 x 10_s,:, 1.97 x o u fr :.910

1 2 -... + .

"".011.2

to

03

0. 0

'i-

.2 6 2

o /a

4.'

10.2

.;.2 e3 .2

.2

1.30

0 4 8 12 16 20 24

Sonic Pulse Velocity, V., fps x 103

FIGURE 5.17 RELATIONSHIP BEETWEEIN AVERAGE VALUES OF INITIAL

MODULUS OF D•EFORMATION AND DILATATIONAL WAVE

VELOCITY 4'.FR ROCK UNDER UNIAXIAL COMPRESSIVESTRESS OF 100-150 .si

119

Page 145: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

I ) VP from 1st locd~ng cycl~ for a. x 5,000 psi,e~xccpt for 9.1 and 14.1 mo a 1,500 p~i-

2) E, oli l rm to,7 -nc portion a'-c curv:- ISi.e., at stress :,cvc o-, :50'e' '%,(Llt), oxccpt feo

14 9.1 10 a'3 10t

-2 SY-1-- ~1.96 x 0a s

00

Cx 10

z 112

C:

10.1

ItoI

OL2 14- - 1O 1 - 1

04 a 12 16 320 24,son'ic Pulse VeIncity, Vp, f ps x 10

FIGURE 5.18 RELATIONSHIP EETWEEN AVERAGE VALUES OF TANGENTMODULUS OF DEFORMIATIOtN. AT STRESS LEVEL OF ONE-HALF ULTIMtATESTRENGTH AND DILATATIONALt WAVE VELOCITY FOR ROCK UNDERUNIAXIAL COMPR~ESSIVE STRUESS OF 5,000 p~i

1 20

Page 146: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

.Key :El of 0 % o•(ult),

Vp ot ct=5,000 psi J14 /.

12 Ea 8 V. from Is? looding cycle--

a ?.. .100 -.150 psi 22

S,,,

V

W0 0

0

53'

6I

10?2 4 __ __

32

2 . 1.

2-

III

0 4 8 f2 le20 24

Sonic Pulse Vo~ocit) Vp, fp PS XI10

FIGURE 5.19 VELOCITY- MODULtJS VECTORS FOR FIOC~t UNCDERINCREASING IJ9"Q1C!AI`L C071272CONE STREMS

121

Page 147: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

uptvtard an)d t!,-.rc:forc, have h11i-.r initial týx*dulus values thcn tho tanSentmodulus at ut ui.r•,te. Exceptions to this are shown by 2.2 and 8.1.

The dividing I in-s, frr the bothaviors described above, np;ýear to bein the vicinity of.E = 9 x 1 0 psi and Vp 16, )000 fps. rocks having initialmoduli end vczlcities belo4i threse values are in the "lower half" of the FIlot,and rocks for t-,Hch initial vwslucs are greater than these limits are in the"Upper hslf. 1 " ,•, parcntly, 3.1, 5.2 and 7.5 are bordarline ccpto-ions to thesegeneral i"cr"s.

In accord with thoory, the data in rigures 5.17 and 5.10 indicate thata curvilincar relationship would provide a better fit. Even so, the coeffi-cients of correlation for the linear regression lines shown are both fairlyhigh, r - .910 and .8SO, respectively. The possible reasons for a lowercoefficient for sonic velocities at a stress of 5,000 psi, as plotted inFigure 5.18, are as follows:

1) The sonic velocities for rocks of which the strengths at 50%ultimate are less than 5J000 psi, are higher (as plotted hereon)than they would be at a stress level equal to 50% of theirultimate strength. Therefore, these rocks plot further to theright of the regression line than they "should."

ii) The sonic velocities plotted for rocks, of which the strengthsat 50% ultimate are -greater than 5,000 psi, are lower than theywould be at a stress level equal to 50% of their ultimatestrength. Therefore, these rocks plot further to the left ofthe regression line than they "should."

It Is apparent from Figure 5.19 and the discussion in paragraph 4.c. that theerrors, resulting from the above sources, in the procedure used herein forcomparing data at the higher stress levels (5,000 psi)., are probably less than5%. This seems reasonable because the percentage increase in VJ, for themajority of the rocks, is less than 10% fot the entire stress c ange from 100to 5,000 psi.

7. COMPA.RISON OF STATIC AND DYNAMIC PROPERTIES

Application of the theory of elasticity to problems relating the propa-gation of elastic waves through rock with the static deformation characteristicsis a subject of long and continued discussion. Elastic theory has been usedfor derivation of the following well-known equations:

E V2 (l~v) (1-2y•) 05..7)

M 2pV2 (1+V) (5.8)

G z 2 (5.9)

122

Page 148: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

2

1/2 ( -) - (5.10)

1)2

in which E -• Youngis nmculus of a1sticity of the rný'tcrlalVp = dilatation:l wave velocity for an unbc•indcd GicdiumVs W distortional or shear wave velocityV - Poisson's ratiop - mass density (7)G - modulus of rigidity

Hence) E may be calculated from the above equations by measuring both VP andVs during dyD•mic sonic-velocity tests. E may also be computed from stpticstress-strain tests by use of the procedures described in paragraph 4.a.Unfortunately these two methods do not always yield the same results.

During static load application to a rock specimen, the mic.o-cracksand crevices becom- com;acted. Even though the amount of compaction is verysmall, Ed, determined from wave velocity measurements, increases as the com-pressive load is increased. Et, determined statically as the ratio of incre-mental stress to incremental strain at various mean stress levels, also increaseswith the compressive load, Both Ed and Et will approach a constant value forthe particular rock specimen (for reasons previously discussed); and this valueshould be the same, regardless of w•.cther or not it is determined staticallyor dynamically, provided the rock is truly elastic (Onodera, 19G3).

Statically obtained values of E for rock are almost always lower thandynamically obtained values. According to Rinehart et al. (1961), these dif-ferences may vary from 0 to 300%. Zisman (1933) and Ide (1936) found with fewexceptions that the dynamically determined values of the modulus are fron 4 to20% higher than those statically obtained. They conclude that the cause ofthese differences is the liability of static measurements to uncertainties from(i) the presence in the rock of minute cracks and cavities, and (ii) the rock'snonlinear elastic response to static stress. The more conpact the rock, themore nearly do the static and dynamic constants agree. The two methods givethe most divergent results for rocks possessing low moduli of elasticity.

Dvorak (1957) found for a medium under pressure that the differencesbetween dynamic and static modulus do not exceed 50% because the fractures areclosed by pressure. Data given by the U. S. Bureau of Reclamation (1953) showthat the ratio of dynamically to statically measured Young's modulus variesbetween 0.85 to 2.9. Sutherland (1963) reports the percentage difference be-tween the sonically and statically determined vzlues of E to vary from 4 to 25%,with the sonic value greater than the static in all but two cases. lie state.,that the large percentage difference obtained by some investigaturs may be dueto the use of total stress/total strain (secant modulus) to calculate E,instead of incremental stress/incremental strain (tangent modulus). Thus, theeffect of the initial high strain is present throughout the test, resulting inlow values of E.

123

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Gregory (Vi,3) anC .l~h (lV1) c;xplaln in a qunlitative wy tfI lackof agreement b:t:.:z static and rw.iic values of Ycunq s roo.lulus, even tlvoughreasurcmarts are n at the s;:c! level of acpplfed stress. The pessev. of asound w:,ve corrcfw.-ýcnds to the svp:rposltion of a smalt altcrnating stress onthe existing, e;"plicd comprcssfvc stress, as shown schsrr,,-iacaily in Figure 5.20.The static value of E Is taken as the slope of the stress-strain curve at thicselected strest-lvel, P. On the other h3nd, the dynamic nmodulus c,'jlculatcdfrom the sonic vwlocity corresponds to the average slpce: of the unloading andrebound loo, cro-t1t,-.d by theý suý eri:,w. -d sound wave. pis show,,n, the staticvalu Ould bs c......ctd to be ...... t lo;,:cr tlan tlhe dyro,;ic value, %which iscorwparrble to , b in Figuru 5.1.

Ide (1936•) concludes that the discrepancies found between static anddynamic values of E are real, and that most rocks are, therefore, imperfectlyelastic media. They arc not sufficiently homogeneous and isotropic to meetexactly the conditions for which the formulas from elastic theory were derived.

In order to compute dynamic values of Young's modulus, E, from equation(5.7), it is necessary to determine v, as given by equation (5.10). Dynamicvalues of Poisson's ratio, v., require measurement of the shear wave velocity.In the present investigation, a technique for producing and measdring shearwave velocities under axial load conditions was not satisfactorily developed.Some of the problems encountered in measuring S-waves are discussed by Gregory(1963).

A comparison of static and dynamic propertiez, however, may be conductedon the basis of the "constrained"8 modulus of deformation, which is defined asthe rate of change of vertical stress with respect to vertical strain, underconditions of zero lateral strain (E - C 0). The constrained modulus, 19requires only the measurement of theYdilafational wave velocity, V , and themass-density, p, given in equation (4.3), and restated here as fol~ows:

M o i r Dynamic (4.3)c p

This modulus Is related to Young's modulus and other elastic properties bythe following equations:

Mc = E [ (l+ -'2V) Static (5.11)

- K+4/3 G (5.12)

in which K = bulk modulus of elasticity.

The theoretical relationship for the ratio Ml/E for all values ofPoisson's ratio is given by the curve in Figure 5.21. The average values forPoisson's ratio, as determined by the tangent method, for all rocks in thisinvestigation are also given thereon. For the first and third loading cycles,the average v = .125. At a stress level equal to 50% ultimate, the averagev = .341.

In Figures 5.22 and 5.23, data are plotted relating the constrainedmodulus, computed from velocity measurements by equation (4.3), and Young'smodulus from static streas-strain measurements. These are given for the stress

124

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CL

U) <

0-

C)

0:0A~I 'ss.l

125

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C) V CII _Lw

- IL 0

II0 _

0

~IIx

cr 0

cD R ai

U126

Page 152: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

-G V;.1

i In

1110i~LL

I ~~0 0t& _If I I I

-OJOS 1 L .i1i IA le __3 '-~ncý _______

I 11~~127\ ,I

Page 153: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

- - - trn- - - - - , -z

U0

C,,

-J 0

q) 0-0 - U.. -~

*c0

a -o

-~~ Z U -0,

~~..b 0 C

D 0.

~ 0 cfl.... 4ý- W 0

"_ ( D

CL - r /,w

- -

IV . ~ - - -- -D

0 0 .0 4 ~ 00

(CLS 30 0s 'Q 'Slfl0~ WUb~

128

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ranges of 100-150 psi and 5,000 psi, respectively. The theoretical relation-ship between M. and E for the average Poisson's ratio, v, obtained at eachstress level, is shown by the dashed line in each figure. These are takenfrom the theoretical curve in Figure 5.21. It is interesting to note that thetwo regression lines, defined ýn Figures 5.22 and 5.23, converge at an Mc-inter-cept of approximately 1.6 x l0b psi. Since Mc is a function of VP, it wouldappear that the propagation velocity of P-waves in rock tend to approach alower, limiting value, regardless of the stress level (within the range in-vestigated herein). This is probably a function of the structure of rock,the degree of cementation, grain contact, et cetera. The lowest limitingvalue approximately equal to 1,130 fps should occur if there were no graincontact or cementation; this is the velocity of sound in air at 1 atmosphere.Logically, such rocks would have no coherence. The lower limiting velocityfrom these two figures is approximately 6,570 fps, computed for the averagedensity of 162.3 pcf for all rocks in this investigation.

By plotting the dynamic measurements for M., computed from equation(4.3) as abscissas, and the static measurements for M.., from equation (5.11)as ordinates, a more "normalized" comparison between static and dynamic proper-ties is obtained. These data are given in Figures 5.24 and 5.25. Static datacomputed for initiai values, E. and, v. at stress levels of 100-150 psi areshown in Fisure 5.24. Dynamic values of Mc also are shown for the same stresslevels. The correlation coefficient, r = .949, suggests this relation to bequite good. It is noted that the ratio of dynamic and static values of Mc,as defined by the regression line, decreases with increý.'ng modulus values(this was the same observation made by Ide). The more compact rocks approacha ratio of 1:1, whereas the lower modulus rocks diverge to a dynamic/staticratio of 2:1 for Mc (dynamiC= 3 x 106 psi.

Onodera (1963, Fig. 3) presents data relating static, E, and dynamic,Ed, for rock pieces under no-load conditions. A line drawn through the centerof gravity of his data points, parallel to his Line A, is defined approximatelyas follows:

E S 1.0 Ed - 1.422 x 106 psi (5.13)

This equation is remarkably similar to the regression equation given in Figure5.24 as follows:

Mc (static) = 1.11 Mc (dynamic) - 1.92 x 106 psi (5.14)

In Figure 5.25 the dynamic M was computed at the maximum stress levelof 5,000 psi for all rocks except 91 and 14.1, which were at 1,500 psi. How-ever., since this stress level was approaching failure for rocks with strengthsless than 10,000 psi, the static Mc was computed from Et and v values atstresses equal to 50% ultimate strengths for these rocks. For all others, Etand v were computed at 5,000 :si. This manipulation is probably a partialexplanation of the lower correlhtion coefficient than that shown in Figure 5.24.In Figure 5.25 the ratio betweei? dynamic and static values is more constantfor all rocks. This varies from ',5:1, for Mc (dynamic) =3 x 106 psi, toabout 1.2:1, for Mc (dynamic) = 16 :- 106 psi.

For a dry rock, saturated with iir, the dilatational wave velocity maybe calculated from the static elastic constants by means of equation (5.4).

129

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Note:

I) Constrained modulus, Mc (dynamic) = pYV2) Constrained modulus, Mc (static) E,3) Data from let loading cycle

28

SMc stat.) = 1,11 Mc (dyn.) - 1.92 x 100

foo 20 . 1.71 x Ie psi. -

"• . J2.1g r,..949

___6_ _ 2.3

______ ______ ______ ~1.21____ ____ ___

1.1 2.2"12 -"

A 6,e.2

0

C6,15.3

3.1 '7.5

6.1 /.' ,

4- - -4 1 1 1 19.1 3.2

.;2

C 1 40. -' 0-_ - 62

0 i 112

Constrained Modulus, Mc, psi. x IC tDynamic)

FIGURE 5.24 RELATIONSHIP BETWEEN AVERAGE VALUES OFCONSTRAINED MODULI OF DEFORMATION COMPUTEDFROM STATIC AND DYNAMIC MEASUREMENTS FORROCK UNDER UNIAXIAL COMPRESSIVE STRESSOF 100-150 psi.

130

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32Note:

I) Constrained modulus, Mc (dynamic) p V

2) Constrained modulus, Mc (static) : Et.E,,t•r-3) M€ (dynamic) computed from I't loading cycle

for oa,: 5,000 psi., except for 9.1 and 14.128 oo: 1,500 psi.

4) Mc(stotic) computed from I1t loading cycle foro'az 5,000 psi., except 6.1, 7.1, 7.2, 7.5, 9.1, 10.3,11.1, and 14.1 which were computed from 3 rd

loading cycle for a,= 50%(r[ult)

24

L~

Cl) M (stat.) = .851Mc (dyn.)-.405 x le

S20 S y.x : 2.49 x lIe osn.

X r = .817

o 3.3

3.2 :.2 2.1

Z .2

oa .1

5.2 102.3

In - -

C 07.1

0 2

011.2

O01 4A 8 5 1 2 2

4-13.1 .

10. 10.2

0 4 8i2 16 20 24

Constrained Modulus, Mc, psi. x I10(Dynoiic)

FIGURE 5.25 RELATIONSHIP BETWEEN AVERAGE VALUES OFCONSTRAINED MODULI OF DEFORMATION COMPU'TEDFROM STATIC AND DYNAMIC MEASUREMENTS FORROCK UNDER UNIAXIAL COMPRESSIVE STRESSUP TO 5,000 psi.

131

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Wyllie et 0i. (15[) cc:?{utcd tlD vwlocity for j:rca sn.dstone from th3 valuesof E and v obtained statically at diffcrent strcss levels; these were comparedto the rnmsurcd values of V at tLr san, stress Icv•Is. Similarly, tho averagevelocities cn-,:utod by cqua~ion (5.4), for all rocks in the present Investi-getion, arc plotted as ordin:etc;s in FV srcs 5.25 and 5.27, The rmasu_ rnvelocities are plotted as abscisszrs for co:paris on.

A high dcorcn of corralntlon (r * §) for the "static" and dynemicvelocities, obtarncd by th•es tvw r:,thf!s, is show:n in Figure 5.26 at thelower stress level of 100-150 psi. Cote that a high degree of correlation(r approaching 1.0) does not mann that there is a 1:1 relation between staticand dynamic values. It means that the data plotted in this figure are wall-defined by the least-squares regression line shown thereon. Again it is seenthat the more compact rocks approach a dynamlc/static ratio of 1:1 whereas theless compact (hence lower velocity) rocks approac:i a ratio ol 2:1.

The degree of correlation in Figure 5.27 is somewhat lower, probablyfor the same reasons as given for Figures 5.18 and 5.25. For the high levelsof stress, in Figure 5.27, the dynamic/static ratio for all rocks is moreconstant than for low stress levels as previously noted. This ratio variesfrom 1.3:1 for the lower velocity rocks (8,000 fps) to approximately 1.10: forthe higher velocity rocks (20,000 fps).

Wyllie (noted above) plotted the data for aoth measured and computedvalues of Vp versus stress level up to 5,000 psi. He found that the dynamidstatic ratio for the Berea sandstone, at 2,000 psi, is approximately 1.3:1.At 5)000 psi, the ratio was about 0.9:1. Both of these values are in closeagreement with the Berea sandstone (10.1) in the present study.

A summary of the observations made in Figures 5.24 through 5.27 isgiven in the following table:

TABLE 5.3

PERCENT BY WHICH DYNAVI:C PROPERTIES ARE GREATER THANSTATIC PROPERTIES FOR ROCKS

Dynamic-StaticStatic x 100%

Less compact More compact

Low stress (100 psi) 100% 0-3%

High stress (5,000 psi) 30-50% 10-20%

On the basis, of these data, the following conclusions are made:

i) The magnitudes of dynamic and static properties of rocks areequal only for compact rocks at low stresses.

ii) Since compact rocks in general have slightly convex (Type Ior II) stress-strain curves, the initial modulus may be some-what higher than the tangent modulus at 50% ultimate strength.

132

Page 158: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

V 3jV I I II4) V (cA r. ( C ' f~ t

10cdn CýC! fc, TC.,= 100 - 1 pi si i

24--

d I i

el 10./

o 4 1 LL2 2

Sonic Pulse Valocity, Vr,, fps~ x 103 (mnourcd)

FIGURE 512,3 r~AI~ PC~UJ JJ ZVALUZS 0, P'r-2'WCCWVLCJ'IT C0:UTLD", NICM STATIC AN~D D~i tý2a C0L~E~K7Z7SFO~R3C LIN"C UNNAXIAL 17~:

STRESS Oil 100 -150 psi

133

Page 159: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

foC OV," C, u

Al p

9 Sri= 2,145 fps

rI

'44.1

04 a~ 12 06 20 24

Sonilc Pulse Velocity, V., fps x 10,(~r~FIGURZ 527 REAIC'?`ZXPC.'v~ I f(Ir.RtSF VALtf:30 C;'MLATATI CX1.

WAVE VELC1ITY COIWUTJ MCM> STATiC A'D DYWT.`6C

STF,-:-S UP TO 5,000 vn~i

134

Page 160: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

Therefore, at high stress levels, the magnitudes of thedynamic properties are greater than those of the staticproperties by 10-20%.

iii) The difference between the values of dynamic and staticproperties of less compact rocks decreases with increasingstress.

iv) Less compact rocks do not appear to meet the basic assumptionsfor which the theoretical equations relating velocity andYoung's modulus were derived.

In this section the experimental data obtained in the current investi-gation have been presented in graphical form. Predominrnt~y, data plots weregiven for those properties of rock which indicated a relatively high degreeof correlation in simple regression analysis, and thus shc.ied a reasonablepotential for use in the development of index properties. In the sectionwhich follows, a system is presented for classifying rock in terms of itsstrength and deformation characteristics. Also, certain index propertiesare proposed which are formulated from the relationships developed herein.

135

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SCcT&:- N

Cru~sslffction of in-situ roc!.. fr.......GaCCtMZ 'L% -. Visic"71 p cc -.. I cszOf rcnck u~lfiln oroc , ca , v;d tlhe rn,': ;or c;;d phyzicnl c• .. ct.: Istics oi .......dIsc ,r_..... ,, tics v:hIch Lcv.md th"ý blocks. T... cc' irv:d Cc ".'. , , .' d•:te .rn-s thoenrinc-crIn; L2.evior of the rock mess in terris of strci' ,,;, f orm. II I ty,and porr;zei 1 ity.

The present study is concerned only with the proPerties of the intactrock material as determined by tests of representative rock cores drilledfrom the joint blocks. It is advisable to devclop a classification systembased upon the physical properties of the intact rock before attempting toconsider the adverse effects of geologicol discontinuities.

In this section a system for classifying intact rock is introducedwhich has as its basis the strength and deformation characteristics of therock. Certain index properties are also proposed which are developed fromthe relationships given in Section Five and which can be used to estimate theuniaxial cc%?rcssive strength and the modulus of deformation. The indexproperties w.ay'also be used for assigning a rock to the proper engineeringclassification. Statistical methods of analysis are utilized for determiningleast-square regression relationships between the suggested indices andcorresponding strength or modulus properties, along with the confidencelimits for dispersion.

2. PROPOSEID EtNGINEER ING CLASSIF!CUATIOV

In classifying rock for engineering purposes it is desirable to havea relatively simple system of classification with a small number of categories.The classification should be based on significant physical properties so thatthe system has wide application and is not limited to a specific problem.An optimum classification system should also provide good reproducibility,and the classification should not be a function of the background andexperience of the person making the classification.

The system of engineering classification proposed herein providesqualitative descriptions in terms of two engineering characteristics,strength and deformation. The rocks may be classified by using the actuallaboratory-determined values of the uniaxial compressive strength and modulusof elasticity, or by using the approximate values obtained from the indexproperty correlations. A su-.mary of the proposed classificataon is givenin Table 6.1. For a complete description it is necessary to use both thestrength class (A, B, C, D, or E) and the modulus ratio (H for High ModulusRatio, L for Low Modulus Ratio. and no suffix for an Average Modulus Ratio,as described below). Thus. a rock may be classified as BY BH, BL, et cetera.

136

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TiA i$L E 6..1L :.;•::?7; . c. . r C .c-•, Ic:.7:::: F:i' •I:';i; n" .....

AVery 111:T 1 ý Str Ov*:r 3? ,C.-

VlI S t esr i t n Cn ax a rC ;o ýý''.,,, r...:•:i = c• ....)

C Kldium $ttic.ngth 8,0 0 0 , D C 1C3

D Low Strength 4,000-0.00

E Very Low Strength Less-than 4,000

11. On Pesis of rodrll.,,s Wd:tio

Class Description nodult.is rttoI

H High Itodulus Ratio Over r03

- Average Modulus Ratio 200-500

L Low Modulus Ratio Less thin 200

Classify rock as B, C!11 BL, etc.

i) Mlodulus :•a•io t/ca(ult.)where Et = tangent modulus at 50! ultrmnte strength;

Oa uniaxial compressive strength

The strength classification is similar to the one given by Coates(1964), shown as Table 2.2 in this report, except that five cate ories ofstrength are proposed rather than three. The proposed Class E - Vary LowStrength, for compressive strengths less than 4,000 psi, corresponds approxi-mately to Coates' Weak Category (less than 5,000 psi). His Strong and VeryStrong categories (with the dividing line at 25,000 psi) are replaced inthe present system by four categories: Class D - Low Strength (4,000-8,000psi); Class C - Medium Strength (8,000-16,000 psi); Class B - High Strength(16 000-32,000 psi); and Class A - Very High Strength (greater than 32,000psi 5 . It will be noted that the limiting values in the strength categoriesincrease in geometric progression.

The division between the High Strength rocks and Very High Strengthrocks at a compressive strength of 32,000 psi has been selected on the basisof three considerations. First, the relationships between the com-pressive

137

Page 163: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

t~~~~ i:Yc2, (r'. Lijre 5i :) cV I .dt hýre~;`Cs(i:ý ~in wJ) s c t/. S in ri, 2n C!T, ~I" c t % ty I cn :c T.~s 1 s rc Ia

t I nY tv L; ,s, I , irc, t I nn t- ro c"-.s wE i cc csssrc.~,::ý 'i,,In Cýc~r- of ~t d Psi hv tin intoc.f~L occ1hich c-1,"-,t L,_ :,rci by hfreiczss tests, but wh-ich ccc.nts for vc-ry

hi~h cCT:;. rscssv. strc:rvtts.

A sencccr. :; lc~~rc, tIon concerns the sh:pcs of thc stross-stroincurves; for c1rI: ;t cll rcc's w!th cc.;cIress.ve s trc inC. -rctcr tIn 3cpsi.* ttl:,. curvc ýr:Lly lin.!r (Figure 5.2, Tc 1 ,nd shT,brittkd~f,•!u, - -• c::rzctc~ristlcs &,- clvcnn in Coats ' cL.iflcetien. A

third r,,J p~rcly prcctlcal co, si.:,r-tion is that the Very N It;h Stronnthigneous rockl:s -- dicý,.sc and don:,c bcsalt -- are si,.,;cratad by the 32,003-psiline frcA other fine-grained igneous rocks such as dacite, rhyolite, andandesito, as well as from most rocks of the granite fansily. In addition,almost all foliated) mztamorphic rocks (i.e., gneisses, schists, somephyllitos., and slates), and the ccmz.,on sedimentary rocks fall below the32 ,000-psi line.

It was originally believed that the classification on the basis ofmodulus could usn various sub-d visions of the actual nmodulus values, e.g.,less than I x 106 psi, 1-2 x 10 psi, et cetera. However, as the system wasdeveloped it became apparent that each strength category would have three orfour rnodulus categories and that fifteen to twenty classifications wouldresult. Of even greater concern was the fact that on the classificationplot of mnodulus versus strength the categories plotted as rectangles withany given corner comnmon to four rectangles and therefore to four classifi-cations. This situation resulted in as many as four classifications for asuite of samples from a particular sample site even though the actual varia-tions in strength and modulus values were quite minor.

In order to circumvent the above difficulty, the proposed classifica-tion system makes use of the modulus ratio which is defined as the modulus ofelasticity (tangent modulus at 50% ultimate strength) divided by the uniaxialcompressive strength. The relationship between average values of the com-pressive strength and tangent modulus of the rocks tested for this report isshown in Figure 5.12 as an arithmetic plot. The plot indicates that the datamay be fitted approximately by a straight line. the equation of which isEt - 300 cra(ult.). The slope of this line is the modulus ratio, whose valuein this case is 300.

The proposed classification chart, entitled Engineering Classificationfor Intact Rock, is shown in Figure 6.1. Both the modulus and strength axesare logarithmic, in order to provide for a wide range of value. The strengthcategories A through E are indicated. Although the 300:1 modulus-ratio lineis shown in this figure, the classification system makes use of a zone (shownby stippling) which extends on either side of this average line and which isbounded by lines representing modulus ratios of 200 aid 500. These limitingvalues were chosen so as to encompass the majority of the rocks with inter-locking texture, e.g., diabase, granite, basalt, quartzite, rock salt, andsome limestones, dolomites, and sandstones. Rocks included within this zoneare considered to have average modulus ratios, and their classification

138

Page 164: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

Note:I) E = tangent modulus of 50 % ultimate strength

0 2) Classify rock as B, BH, BL, etc.

- 4 8 16 32 psi 1 10E .,

•' E D C B AC VERY LOW LOW MEDIUM HIGH VERY HIGH

6 LSTRENGTH STRENGTH STRENGTH STRENGTH STRENGTH

I-II -1

0_

IZ2 3.5

6 _.. . . .- ,---.. - - - - --I-

4 --

0 2-/ •

100

0 l

I ,_ _-- ---- f-

7.O .* _ - -- ---

I3 4 5 6 78 9 0 20 30 40 50 6OphiKxI0O

SII i I -I I7'5 125 250 500 '000 2000 4000 kg/cmz

Unioaxiol Compressive trn h, ro0(ult)

FIGURE 6.1 ENGINEERING CLASSIFICATION FOR INTACT ROCK-AVEVAGE VALUES FOR 1=3 ROCK TYPES(28 Locations)

139

Page 165: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

-t I

consists only of a strength category, i.e., A, B, C, et cetera, withoutreference to the modulus ratio. Rocks with modulus ratios greater than500, as noted in the figure, are of high modulus ratio and their classifica-tion would consist of a strength category followed by the, letter H as, forinstance, BH. Similarly, rocks with modulus ratios less than 200 aredesignated low modulus ratio and their classification includes the letter Las, for instance, CL.

The plotted positions of the data points in Figure 6.1 give a strongindication that the classification system may be a very workable one, andone that will take into account both mineralogy and textural fabric. Toillustrate these aspects broken lines have been placed around the data pointsrepresenting given rock types in Figure 6.1. The lowermost envelope aroundpoints 10.1, 10.2, 10.3, and 13.1 encloses all the sandstones and siltstones(13.1) tested in the present study. Several trends are apparent. The enve-lope is unique in position with respect to the other rock types. Althoughthe envelope follows the general trend of the stippled zone (average modulusratio), it is closer to the 200:1 limiting line. The position indicates thatthe sandstones are more compressible with respect to their strength thanmost rock types. This is considered to be a result of the closing of smallmicro-cracks parallel to the bedding planes. The bedding was near horizontalin most of the specimens and the axial load was applied normal to the beddingdirection.

The envelope around points 5.1, 5.2, 5.3, and 4.1 encloses all thegranites and granite gneiss (4.1) tested in the present study. Again' arather unique position is indicated. The granite textures are essentiallyequigranular and interlocking and the plotted positions are parallel to,and in the center of, the zone of average modulus ratio. Anisotropy offabric is not indicated. The position of point 5.2 in the C-strength cate-gory is anomalous but these samples were of a slightly weathered granite.

The envelope for diabase (2.1, 2.2, and 2.3) is essentially anextension of the granite plot, but in a higher strength category. The basaltenvelope (1.1, 1.2 and 1.3) is in the A strength category but it is locatedin the lower portion of the average modulus-ratio zone. The dolomite enve-lope (3.1, 3.2, and 3.3) plots parallel to and near the boundary between thezones of average modulus ratio and high modulus ratio. Two of the limestones(6.1 and 6.2) plot similarly but the third (6.3 - Solenhofen limestone) plotswell away from the trend. The marbles (7.1, 7.2. and 7.5) plot in a restrictedarea in the zone of high modulus ratio. The majority of the carbonates, then,have a trend toward a high modulus ratio. This fact is felt to be a resultof an interlocking texture and low porosity as well as the particular stress-strain characteristics of calcite and dolomite.

Attention is also called to the schist samples (11.1 and 11.2).Sample 11.1 was tested with the axial load applied normal to the schistosity;it plots in the zone of average modulus ratio. Sample 11.2 was tested withthe axial load applied parallel to the schistosity; it plots in the zone ofhigh modulus ratio. The effect of textural anisotropy is dealt with furtherin the discussion of Figure 6.3.

140

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The data points in Figure 6.1 are the averages of given rock typesfrom specific locations. Each point is the average of from 3 to 8 individualtests. In Figure 6.2 all test results are shown although the individualpoints are not identified. Thirtcen rock types and 128 specimens are repre-sented. The plotted points further emphasize the validity of the concept ofa zone of average modulus ratio.

To investigate further the effect of anisotropy a series of tests wererun on samples of a sandstone, which showed pronounced bedding, and on a slate.These samples, referred to as Indiana sandstone and Virginia slate were notpart of the systematic study, and the only tests conducted on them werestrength and modulus determinations. The test results are shown in Figure6.3. The number beside each point represents the angle between the specimenaxis (direction of loading) and the plane of anisotropy. The effect of theanisotropy created by the bedding planes is not great for the sandstonealthough both the strength and modulus are affected to some extent. Theclassification designation changes from C for the 900 loading to D for allother angles.

The anisotropy caused by the slatey cleavage has a very pronouncedeffect on the classification of the slate. The designation ranges from B toC, CH, and DH as the angle between the specimen axis and plane of anisotropychanges from 90' to 300. At angles less than 300 both the strength and themodulus increase; designations of CH and BH result at angles of 15' and 00,respectively. It is apparent that samples tested perpendicular to the direc-tion of anisotropy, or within 45° or so of that orientation, show a lowermodulus ratio than those obtained for samples in which the anisotropy issteeply inclined (small angle between the specimen axis and plane of aniso-tropy). The strenqth classification is also a function of the angle ofanisotropy. Minimum strengths are found in the 3V0 range although randomlow strengths are often obtained whenever the anisotropic feature is steeperthan about 450

A summary plot showinS the classification of various igneous rocksis given in Figure 6.4. Three rock groups are shown: diabase, granitefamily, and basalt and other flow rocks. The granite family includes syenites,monzonites, granodiorites, quartz diorites, et cetera. The flow rocks in-cluded with basalt are dacite, andesite, and rhyolite. The envelopes shownai, those that include 75% of the points for the rock type in question. Atot,-] 3i *76 test results were used in preparing the plot. These includedthe results of the present study as well as values obtained from privatereports aod from the literature.

The individual points for the diabase plot are shown in Figure 6.5,those for the granite in Figure 6.6, and those for the basalt and other flowrocks in Figure 6.7. The envelope enclosing 75% of the points is shown ineach case. The envelopes have been drawn so as to omit about the si.re numberof points on each side and yet maintain a parallel or sub-parallel aTignmentwith the trend of the average modulus ratio zone, wherever this could bedone without undue bias.

The tight grouping of the 26 specimens of diabase from 8 differentlocations (Figure 6.5) is quite striking. The samples have modulus valuesgreater than 10 x 106 psi and the majority have compressive strengths greater

141

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Note:I) Et tangent modulus at 50 % ultimate strength2) Classify rock as 8, BH, BL, etc.

0 54 16 32 psi x 10 O

E D C B A

VERY LOW LOW MEDIUM HIGH VERY HIGH

STRENGTH STRENGTH STRENGTH STRENGTH STRENGTH

20 .1_t- a W n

4 -

2; 4-

0 2 0-2 , - i/ -

4-

-.

S""- - .-.. ...

C" 2_ - --ý

bl

•7 " ........

_25ý- 7

K € ±, I3 FE .

5678910 20 30 050 60psizx1

75 ý5250 500 1000 2000 4000 kq/cm2

Uni axial Compressive Strength, oa-((ut)

FIGURE 6.2 ENGINEERING CLASSIFICATION FOR INTACT ROCK-INDIVIDUAL TEST RESULTS (124 Specimens,13 Rock Types)

142

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a

0 r

P~Y LOV' LOW U J1 HL ýQ01 i3 -7

2 018J

"_ _ __ _ ............. ! ... 1 . i ......

S- ,. . .... J_ J_ _ - -I J -4

,__ -_ - I._ , 27 AJ A 0 U

0__ 2- I__ - 4 Indiana Sondston .

CAt_ 2 J.A/___ I _ IZLI7_

>"J L.. ..... .--

Ii- 4-

- 4

8~ I44 -I_

2 3 4 5 6 7 8 9 10 20 30 tO 50 60 ti a10

I I I ! ..!I I75 125 250 500 1000 2000 4000 kg/cm

Unioxiol Compressive Strength, o0(ult)

FIGURE 6.3 ENGINEER;ING CLASSIFICATIONj FOR INTACT ROCK-

EFFECT OF ANGLE 0 MEDDlI;G AND FOLIATION

143

Page 169: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

C'a

6- 0 "lGl r t

I I

77 LLL.~'j

EsF -J-

3 4 5..J. LI 7 *103 0 0

-ncxc Co. r~:vo tegh,0.ut

3IWN . EG-ZERN CLS 14F J7TOiJ O NLfC RCSUNIA 7LOTIGNOS ROCK (17

YA'Imns 75%I [7 Poits14

Page 170: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

E2) Cl ::i, r 'cc: C; , Ci, LL, I tC.

1 0i4 32 4IiIIU K

a iv. I (2 , •-o ' o" I........I.....•"_

- _

75% of PointsI

7- ---

.• _ .- -- .I !± I

4 . . .. . .L .J . .. _i

0 2-

2 -= = . "I

0 -10 4

4 _7 _ 00__42 3. 4 56 78a9*10 20 3 0 O5O 6OjaiuaII

75 125 250 500 1000 2000o 4000 kg/cm

Unioxiol Comprossive Strength, -o0(ult)

FIGUF EC.5 ENGINEERING CLASSIFICATION FOn INTACT ROCK-DIABASE (26 Spocimang, 3 Locations, Various

Sources)145

Page 171: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

0 8 Clcz:'if rct-1 cý 0, C1, U!,, c-1

I s IE 32,

'~~~~~ "On ri! z,

4! "AJ---'v ~%Wtl r r ~ '

"-" 75 % of Points I1I

- o......- I

oo _ _it.,1j

4 '4LjI/•.h 1o '

I I 'I II

0 2 a I l J I' I ,I

Vaiu Coasurrinc, ltr)

0 a0

2J

0 -

w0 _

.6 2 - 1-

6 ~ ~ - - ~- All -- __

52 z - - _

12 3 4 5 6 78a910 20 30 40 50 60 Pei aIc

75 125 250 500 1000 2000 4000 kg/crf

Unioxiol Comproa2s ive Strength, co0(ult)

FIGLU~fW C.6 ENJGIN4EERING CLASSIFICATIONJ FORl IN'TACT lC-GRANITE FAMILY (0O SpocirimLoc 1VcrioU3 Sourcef)

146

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Nl j

0. U.., I t.

0 Andcs~itc, Dacitc~, 3~ R'l I i.1If, cS --- 75 % of Points

-- a- tw 5 _.J4 4b

* ~~~J -,E,' 3 2jI-E I 717

9 -'

.25 -.J I- _ I I' ai

75 25250 Soo 1000 2(>30 4000 tug/cm

Unioxiol Cornpressivc, Strenoth, .'G(WO~

F1GUFtZ 0.7 EllNZ~EVRING CLASSIFICATIONJ FC?! HINTACIT POCQ1.BASALT AND OTH'~ER FLOW R=*:10 (70 Spoc-komen!20 Locatiorn, Various Sourcca)

147

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thmý' 35 001 : psi Nrrý c3 ~ '~~ rcc.-, v.Ith ernr,:xlhd us rtto -- or cttc r: y A. f, cr:it. f;:• Iy ro:. (•:i sure ,6I) plotchIefl y as ZCca tc-, ,ry rocZ':s alrth!tt £n ... c10 'rs,° '•r1 0d or altoredsp~c -ns plot in the C c u, It F~not,:r flow rocks (Figure

6.7) show the gratcest rzare,! in val,. cs o:7:ld e' ct:,r:ctcd because of thewide ronse in ml rneraloy, tcx:turc, a h ty. The strength classifi-cation ranges frci A - Vrry Itish Strcri(th for the dcrn.st basalts to E - Very

Low Strength for thV wý'c,,!cst s,-7plcs. "ii r-,,.ýjority of the flow, rocks, [::w-ever, fall in, tha C and C strCrnc . Tlks. T 7e 72evolope coir,;icrosrceso.:•l y V2 ll with t!3 7c:.o of r iC J tus rot io.

The Sf•AV,--t,-,v re.,k sur;,:7 nry plot is giwvn in Fic;ure 6.8. Thia rocktypes Included are Il rir 5tcn3 and dolo ito sondstoncl crnd shale. Theenvelpes for sandstone and shale are not cl),sed at their lower endsbecause a great number of test resultg indicated strengths less than 1,000psi and modulus values belo:w 0.3 x 10 psi and could not be shown on thepresent plot.

The positions of the envelopes of the sedimentary rocks are quitedistinct from those for the igneous rocks. The limestone-dolomite envelopeextends well Into the zone of high modulus ratio. This position seems tobe a response to both the texture (interlocking) and to the particularmineralogy (calcite and dolomite). The detailed plot of Figure 6.9 showsthat the majority of the specimens fall in the B and C strength ranges asBY BH C, or CH. A few points extend into' the A and D (or E) categories.

The sandstone envelope (Figures 6.8 and 6.10) extends into the lowmodulus ratio range. This position is considered to be the result of acemented, porous texture and the anisotropy created by the bedding. Themodulus values are low because almost all the samples were tested with thecore axis perpendicular to the bedding. This orientation gives low modulusvalues because of deformation caused by closure across bedding planes. Asmay be noted, most of the samples plot in the C and D strength rangesalthough points are present in all strength ranges.

The detailed plot for shales is shown in Figure 6.11. The shales thatplot on this graph are referred to as hard shales to distinguish them fromsoft shales (clay-shales and poorly cemented silty or sandy shales) that plotwell below the limits of the present diagram. The dividing line has been6taken as the tangent modulus value (at 50% ultimate strength) of 0.3 x 10psi. The corresponding strength value is approximately 4,000 psi. Thus,hard shales may plot as B, C, or D strength rocks, usually with the suffixL to indicate their low modulus ratio, while the soft shales all plot as E -Very Low Strength rocks, and usually as EL because of the low modulus ratio.In the figure it may be desirable to show more of the Very Low Strengthrange and to further subdivide the E-rocks. Test data, which would plot tothe lower left of the present classification, show that the soft shales extendinto the soil groups (stiff glacial clayey till, loess, residual soils, etcetera). An interesting point to note is that the soils and soft shalesboth follow the trend of low modulus ratio, i.e., from 300 to values as lowas 100 or so. There is -vidence which indicates that some of the lower valuesmay be the result of sample disturbance. However, the lower modulus ratio isconsidered in general to be a result of anisotropy caused by the orientation

148

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I E t fcu iI0 5 2 OI xI10

VERY LOW LOV! r' 7F l

2- Srjncstorio - I16S 3- Shale Ii1

-- -. -.- A. _dP- -

___ -j I _ ...L~ _ LJ.LJA

0 2-K~7 .jL14 J' ~ I

4- -

55

123 4 56 7 0910 20 30 40 50 60 Pei x0d

?5 15250 500 1000 2000 4000 hg/cm

Unioxiol Compres~ive Strangth, o0(ult)

FIGUr,, C-0 ENGHNW:ENG CLASS"IFlCATION FOR IPT/%ZT (0"'OK~SU.~Y PLOT SEDI~raENTARY OS(I

Specirkic~no, 75 % of Points)

149

Page 175: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

2)-

VER~Y LOV LCO :wv.i

Do Io cm, i2 I a i g-- 75~ of Points IIK I ~~

0- 2-

A,1

2 2 4 6 '7 _ 91_0 3 0 5 oV

.5'ETCII ID ___ N111E(7Soi~s22 - cdos Vaiu Sou , II

- -- ~ z150

Page 176: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

Noeo

'i :II t ci..~ In II VEVr'Y LrG,,J CV. "r :i.

I I I -1 - - - .I

4 l.L b ?!L)iiii

2 -

1L1

.__J ~ -' ¶ 11 -

2 3 4 5 6 708910 20 30 40 'i.O 60 031a 10

Is 1520 500 1000 W 4000 kq/c#M

UnicxiczI Compressive Strongth, o0,(uit)

FIGUr,, 0'.10 ENIGINIEE~t,! CLASSIFICATION MR~ INTACT ROK

SA'PDSTV2',- (02 Spschncn, 10 Location,

151

Page 177: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

"" 0 g211

UEp , C I (,• I ;. I

VERY LO'i LOW ".Itr ,

0-- _,IC ..... .. . . ,.,..

I C.STR -I I " I,. I I

i -- 7% f Point

4- ~ ___ -__

.__,__,____'f •. -IT iL.

S... .-........ - ..

_I_______ -% 1iL•..:" j • , I .

_ _ ----. _,_,d-2 -t-

3I 1

/ 2 -

Un0 xo Co0p1,iv ptegh •ut

.5 * 00

4 Z- AL --

.25L2! I

2 3 4 5 67 8910 20 30 40 50 60psi

75 125 250 500 1000 2000 4000 kg/

Unioxial Comnprozsive Strength, o0 (Jult)

FIGURE 6.11 ENG1tlEERING CLASSIFICATION FOR INJTACT ROCK(-HARlD SHALE (54 Spocimans, 14 Locations,VCO~tUG Swrces)

152

Page 178: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

of particles parallel to the bedding during deposition and diagenesis. Thebedding is normally horizontal and the samples usually have a verticalorientation. Thus the axial loading is perpendicular to the laminar struc-ture and a low modulus res•Jlts.

The results of 44 specimens of porous tuff are given in Figure 6.12.The natural water content of the samples is in the general range of 20-30%.The average strength is shown to be about 1,500 psi with an average modulusratio. Upon air-drying the tuff to approximately 5% water content, thestrength is increased to values of 2500-5500 psi. Although the tuff isbedded, it is cemented by secondary clay minerals and zeolites and behavesmore like a uniform material of interlocking texture than an anisotropicone and, consequently, plots in the zone of average modulus ratio.

The metamorphic rock summary plot is given in Figure 6.13. Thescatter in results is greater than noted for the other rock types becauseof the great range in both mineralogy and degree of anisotropy. The rocktypes summarized are quartzite, gneiss, marble, and schist. Figure 6.14indicates the quartzite data. As would be expected, the modulus values arehigh -- uniformly above 7 x 106 psi, and with more than half exceeding10 x 106 psi. The strength values range from High to Very High and thesamples plot as A, 8B or BH. It is interesting to note that the dense,compact rocks with equigranular and interlocking texture -- such as densebasalt, diabase, and quartzite -- plot in the A category in essentially thesame position.

The gneiss plot is given in Figure 6.15. The gneisses are predomi-nately granite gneisses and they plot in about the granite position but witha somewhat lower average strength and more scatter in the modulus ratio. Theadditional scattering is in response to both a greater variation in mineralogythan is the case for granite and of anisotropy in the form of lineation orfoliation. The several points which appear above the average modulus ratiozone as BH and CH probably represent premature failures along schistose bandsof samples with steep foliation (low angle between the specimen axis andand plane of anisotropy).

The plot of the marble specimens is given in Figure 6.16. Theenvelope includes all the samples of the 3 marbles tested for this report(15 specimens). These samples were all of building-stone variety but theywere from three different states; the fact that they all fall in such atight grouping is surprising. The other 7 samples were from either construc-tion sites or mines and the scatter in results is apparent. A greater numberof test results from several localities are needed before a meaningful plotcan be obtained. It does appear that the high modulus ratio shown by manyof the samples is consistent with the trend of limestone and dolomite whichcontain the same minerals.

Perhaps the most interesting plot is that for schist, shown inFigure 6.17. The mineralogy of schist is extremely variable with both thekind and percentage of platey minerals such as muscovite, Liotite, chlorite,and talc varying widely. Also, the degree of development of the highlyschistose bands may range from slight to high. When one considers the otherimportant variable that enters into the test results, i.e., the angle of the

153

Page 179: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

Note:I) E, tangent modulus at 50 % ultimate strength

o 2) Clossify rock as 8, BH, BL, etc.

4 i. 16 32 psi i 10

, E D C AB A

VERY LOW LOW MEDIUM HIGH ERY HIGHTRNTSTRENGTH bTRENGTH STRENGTH STRENGTH STRENGTH

201 I

"- . Natural Water Content

a Air Dry

S -- 75 % of Points

7 'i I

4-

w 7-

.~~ . vlI1 i

3bo 2 -4

) -- ' -1 ;' 0 / /

00

00

.5- , -

A& 01' 0

12 3 4 5 6 78 910 20 30 40 50OS0pui 1 1

II I

•5 12 25 50 0020 00k/m

Unaxial Ci Strength, 1 (ult)

FIGURE 6.12 ENGINEERING CLASSIFICATION FOR INTACT ROCK-POROUS TUFF (44 Specimens, 2 Locaticn~,-Various Sources)

154

Page 180: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

Note1) E, =tangent modulus a? 50 %. ultimate strength

0 ~2) Classify rock as 8, B31-, BL, etc.4 8 16 32 psIi 10I

SE Q C BA,Ck VERY LOW LOW MEDIUM HIGH VERY HIGH

16 -STRENGTH STRENGTH STRENGTH STRENGTH ST.RENGTH

20C - Quartzite

2 - Gneiss i3 - Marble0 0

e4- Schist10F_ (a) Steep Foliation L -

0g j....... (b) Flat Foliation- - -

4- 6

4 -2

0 2

I 2 3 4 56789~10 20 30 4500bx0

I I I 1I75 125 250 500 1000 2000 4000 lýq/cm'

Uni cxial Compressive Sirength, co0(uflt

FIGURE 6,13 ENGINEERING CLASSIFICATION FOR INTACT ROCK-SUMMARY PLOT METAMORPH IC ROCKS (167Specimens, 75 % of Points)

155

Page 181: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

I ) E t -- .. .f c , .,c n = ,•J + tt , 0 a t u lt im at o tf rC r, t I

a2) C..Ify rczk c , CH, DL, Ot:.

e'a 4 0 16p-

U I-- T ?"

- -- 750/ of Points

___ .--_-_ __/ _.[

4 40

0 -- /' . ......- -

.8 - -, ,., ,,,- _ ___ _

.5 -- • __ o +' ___ -- -

7 -______ LLK.

4- -- -

en4 ... -"--- -- i -- "--' - - -

"----- -i . ... .I

c!I I _ _ ,

w155

3-

0' 2-~~

-. T- 4p

.25 --

2 34 56 7 8910 20 30 40 50 60 psi

75 125 250 500 1Q00 2000 4000 kq/ý

Unioxiol ComnpresivS Strength, 0o0(utt)

FIGURE 6.14 ENiGINElE-R-"G CLASSIFICATION FOR INTACT ROCK-QUARTZITE (41 Specimcne, H! Locations,Various Sources )

156

Page 182: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

I) Et tc r.,n2 mC,. o I SO"I vItmn o•t I r -rC %02) Clc:ýify reek~ or, , CA1, C-L,c.

2 0

-- , 75,% of Points I II '

-- " .

.4

In

/ fj9 _ _ . . "-w .--- -- -

.6 --. e

7i

2 5 4 5 6 7 8 9 0 20 30 40 50 60 pi aI

75 125 250 500 '000 2000 4000 kg/c.

Unioxial Comprozsive Strength, 0-o(Ult)

FIGURE G.15 ENGINEENNhG CLADSiFICATION FOR INTACT RGOCK-GNEISS (43 Spzcir;,mns, 14 Locations, VariousSourco)

157

Page 183: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

2 ) clcý'-f ro'c c3 8, CA:, CL Vc'

4 0 16 32 psi

C idiiStone3 Locations - -ItT Zh%' of Pointsf bIVfIIIt l

4- - -.. -fL J1.4JJ

CA 2C /0-

2 - , 4 5 1 2 0 4 5 0

95 12 20 50 _000 200400_Inoxo Copesv Stegh 44:L5_ - -

FIUR .1 EGNERNGCLSIFCAINO INTC ROC

__ A BL (2 -PChý1-s oainp

__ Li:Iz 1:1:8-

Page 184: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

LOY,

C) ~1 l~f IT rC4~ D l LIC,

£ 0

f I 00 t.

.25 A.j --

2 3 5 67 a 10 0 30 40 5 60 i l

75, 125*-- 2w 50 10020 40 g

c~S~7~ Fflciaxi (S omprcLmiV i KLL~th I I I f ItF IG URa FG? 1 ENG,',lEEF4iolG V5COASWHA)ý FO INAC LOII8C IS (-71 1f Pointsom VaI

Sourca s

4J Y~l~~kL~..159 ..

Page 185: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

schI* I! iS t Vw tcA,:I r ý :7 t tn t 7::, is) It s r t sur; rI.i ,- tltth'ý scihit cl I f I t"i 1 .I; ; 1 Of tL I ' 15 catctyri s (no sci•.st plottedin the thrc.-. fl:..... o.... i t -jory) * Tho eCfcct of nnoleof schistosity On tL. t:.;t rýý -p tps Lccr: a •,rc~nt wv1L:n tfo s:•'• ý,, withstcc foliation arc s'v'r . froni those with flat foliation. Th lattergrovupIr~q cxtond's into th_- IO rirZulus ratio zone because of tre- effact ofclosure of th, rmicro-cracks pzFrallel to the foliation. The sto-,p-foliationgrouping ct-n~ds up into thb zcroe of high r;iodulus ratio indicating thnt scoefairly hird, h"~h;ra!u~us rocks (5-10 x lOb psi) failed along a schistose

band at relativcly loc-r str:ses.

Referring a3,;in to Ficure 6.13, which surmierizes tLa mc.tcm-orp4hic rockclassificaticns, It Is sianificant to note that the gneiss cnvc1clc.e overlapsthe quartzite plot and th3 two schist plots. This transition position indi-cates an increasing coorplcxity in both mineralogy and texture fabric as onegoes from quartzite to gneiss and then to schist. The summary plots for theigneous rocks and the sedimentary rocks (Figures 6.4 and 6.8) show similarresponses to differences in mineralogy and textural fabric.

The proposed engineering classification for intact rock is considereda workable and useful systeri. The classification is based on the conmpres-sive strength and modulus of elasticity -- two important physical propertiesof rock that enter into many engineering problems. The classification isalso sensitive to the mineralogy, textural fabric, and direction of anisotropyof the rock so that specific rock types fall within certain areas on theclassification plot. These areas as shown on the present summary plots willno doubt be subject to some modification as additional test results becomeavailable.

3. INDEX PROPERTIES

Index properties provide a quantitative method for assigning a rockto a particular classification, independently of the background and experienceof the person making the classification. Usefulness of index properties toengineering classification is generally indicated by (a) their relationshipto a material property used in solving a design problem, (b) their simplicity,low cost, and rapidity of determination. and (c) their reproducibility.

Of the ,arious properties considered, the Schmidt hammer hardness,Shore scleroscope hardness, sonic velocity, and unit weight show greatestpromise for serving as indices of the engineering behavior for intact rock.The relationships between Schmidt hammer hardness and the strength anddeformation characteristics of the rocks investigated herein clearly showthe Schmidt hardness, R, to be in accord with the requirements for indexproperties as stated above. The Shore hardness is also presented as a pos-sible index property for strength and deformation, but has a slightly lowerdegree of correlation than that shown by the recommended Schmidt hardness;it is also more restricted to laboratory usage. Another index of rockdeformation is the sonic pulse velocity, which has a high degree of corre-lation with static modulus. However, the sonic velocity does not satis-factorily meet all of the requirements specified for index propertiesbecause of the more costly, specialized nature of the laboratory eouipmentneeded for its determination. A fourth index property, unit weigh, is used

160

Page 186: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

In conJun!trin u".. er ch of t fi rz t thrcoe i 1' rcs P In ore,, r to prcvoIc,nu:-:i•ns for d! rit I h t,,,tirg rc c-1, v: t-: sv; !. .....tI- or sc i c vd.•I c... ty,but wh i ch hL; C 1, ffc rcnt vý I u s of s trcnst or r . 1

Five c'L-,rts are prcscntc-d in this section which have as their Lccsthe numericzal v:, 1uos given eit",r by the Sc-.,midt hzzr, the: Shore sclcr-,scope, or thL-; sonic pulse velocity, e.ch in conjunction with the unit tl?7;2rilhtof thc rock. Ita su stdi....x proerties are utili!ad for estlnm-tirnthe co,,'?rr;ssive strcn~th or static moculus of doforrm,-ition of Intact rcc!,sar, iples. Ti.icsc vclues r,:.qy tLC:.n be used in obtnining an L:Troxietý cla,; fi'

cation for t . rc 2.

Statistical rrcth•dt• of analysis, as dcscrilk-ed in f,7cndf, C, arc .'scdfor obtaining t:,3 functional relationships, standard errors of estii'mte, Cndcorrelation coefficients betw,,een the indices and the strength or deformrc-'tIoncharacteristics of the rocks. The confidence interval (and correspondingdispersion limits) for prediction purposes with respect to rocks is alsodiscussed in this section.

4. UNIT 6PT! ' .S A Ij OF STTTUf') f.2T7

The unit weight of a material is one of the most basic propertiesobtainable in engineering materials testing. W.hereas the total weisht nmaybe relatively easily determined with an accurate balance or scale, the unitweight requires also the determination of the dirmeonsions, or volume of thematerial. For a specimen which has a regular, geo:a trical shape, thevolume is easily determined. For irregular specimens, a procedure similarto that used with the Jolly balance may be employed. This involves weighingthe specimen in air and then again while immersed in a liquid of knowndensity such as water. For a cylindrical core specirmon which has irregularbroken ends, but which also has a known or easily r :esured diameter, the unitweight can be accurately estimated by measuring its total weight and closelyapproximating its length. Obviously, as familiarity with weights of rockand rock core is established, the unit weight itself may be estimated withsufficient accuracy. Thus, it is clearly seen that the determination of theunit weight is a simple, economical and relatively rapid test procedure.The reproducibility of the test results in the laboratory is excellent, asshown by tht average coefficient of variation, V% - .5, given in Table 5.1.The reproducibility under field conditions will depend upon the methodsused for its determination.

a. Relationship between unit weight and compressive strength

Anr arithmetic plot relating dry unit weight and uniaxial compressivestrength is given in Figure 5.3. As indicated by the regression line in thisfigure, the more compact and denser rocks generally have a higher strength thanthose of less density. This relationship is, however. not well-defined in therange of 160-180 pcf as these rocks are noted to vary in strength fromapproximately 8,000-45,000 psi.

The data in Figure 5.3 suggest a more curvilincar relationship than

given by the least-;quares regression line. 8elow IlLO pcf, the data indicatea flatter, and rrc. asymptotic relation to the X-axls. kbove 160 pcf, the

161

Page 187: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

data curve upward and tend to indicate a steeper relation than shown by theregression line. Thus, although the coefficient of correlation might beimproved for curvilinear regression, it is seen that the unit weight byitself is not, for all values, a sensitive index of compressive strength.However, its use in conjunction with other index properties for differenti-ating strength values is shown to be quite significant in the followingparagraphs.

b. Relationship between unit weight and modulus of deformation

The relationship between unit weight and tangent modulus of deforma-tion, at a stress level of 50% ultimate strength, shows a higher degree ofcorrelation (r - .784) in simple linear regression than unit weight andcompressive strength (r = .604). Just as for strength, the modulus increaseswith increasing unit weight as shown in Figure 5.10. Some samples, however,appear to be anomalous, i.e., 8.1, 9.1, 11.1. and 14.1. In multiple regre:-sion., in which the unit weight is used as a coefficient for other indexproperties, the correlation with modulus of deformation is considerablyhigher. This is discussed in detail in the paragraphs which follow.

5. SCHMIDT HARDNESS AS AN INDEX OF STRENGTH AND DEFORMATION

The Schmidt test hammer provides a simple method for determiningrelative rebound-hardness values for rock. Test data can be rapidly obtainedfrom either NX-size exploratory drill core, or block samples, without specialpreparation. The cost of determining the Schmidt hardness is quite lowbecause of the rapidity and ease of test performance. The initial cost ofthe instrument is approximately $135.00 (inc-luding metal sheath and leathercarrying case). Reproducibility of the test data is excellent, as indicatedby the low coefficient of variation (approximately 5%) given in Table 5.1.The relationship of Schmidt hardness to the material properties of strengthand deformation is discussed in the following paragraphs.

a. Relationship between Schmidt hardness and compressive strength

An arithmetic plot relating Schmidt hardness and uniaxial compressivestrength is given in Figure 5.5. The correlation coefficient for these datain linear regression is .880. Figure 5.5 indicates that a curvilinear rela-tionship might provide a better fit of the data. Further, the higher strengthrocks tend to "stack up,)' indicating that above R = 55 the impact hammer issomewhat insensitive to variation in compressive strength. It is also notedthat some lower-strength rocks, such as tuff (14.1) can have a relativelyhigh R-value, suggesting that the magnitude of rebound is influenced to aconsiderable degree by some variable other than compressive strength.

In attempting to provide a better distribution of the data, theR-values are multiplied by dry unit weight, Ya, arid plotted in Figure 6.18.This plot clearly shows better discrimination of strength at all values ofYaR, in which the functional relationship between the X and Y variablesclosely approximates a logarithmic curve. The equation of the curve isobtained by least-square regression analysis, in which the compressivestrengths are transformed to their corresponding iogarithms.

162

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w

N 0

Sn* w

N* 0

__w -Z

CL 0

39 LA CI)

00

0 Sn

b, 0

w

0 0 000 c

b CY

0 Fax0s (I '46OI AS~WYV--------1 o W

163

Page 189: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

Figure 6.19 shows a semi-logarithmic plot of the same data given inFigure 6.18. Here, the correlation coefficient r = . 9 43 , which is consider-ably higher than r = .880, as given by Figure 5.5. One standard error ofestimate for the experimental data is shown by the two short-dashed lines,parallel to the regression line. On the basis of the characteristics of thenormal curve, Figure C.1, approximately 68% of the observations fall withinthis interval, if we assume that the sampling distributions of the means(given by the average group values shown hereon) are normal in shape, andthat the population means for all the rocks are defined by the regression line.

In order to set a confidence interval on the estimate of the meansfor a fixed set of X-data (i.e., the data shown in Figure 6.19), equation(C.18), Appendix C, is used for any desired level of significance. Thegeneralized confidence belt is defined by branches of a hyperbola, as shownin Figure C.3. However, for predictions of individual events to be made onthe basis of a given set of data, a random element must be included as anadditional source of uncertainty, modifying equation (C.18) to that ofequation (C.19). Further, because of the great variability of rocks andtheir properties, it is not considered to be within practical engineeringinterests to expect as high a level of significance for rock data as fre-quently used in other statistical studies (i.e., 95% confidence). Thus, forprediction purposes, the 75% confidence limits have been selected and areshown by the outer, curved-dashed lines in Figure 6.19. The 75% confidencelimits are branches of a hyperbola, defined by equation (C.19) modified asfollows:

CL(Y) = y + b(X-R) t t s +y-• ÷ R +.25 y.x n Z(xX-) 2

where t 25 is for n-2 degrees of freedom. Therefore, it is inferred thaton the average 75% of all rocks to be encountered will have properties whichlie within the confidence belt shown in Figure 6.19.

It is interesting to note that the only two rocks which have strengthsfalling outside the 75% confidence belt (10.2 and 11.2) were both loaded ina direction parallel to the direction of bedding or foliation. Thus, a higherstrength was measured than that which is indicated by the Schmidt hardnessin the relationship defined in Figure 6.19. The other 26 rocks were allloaded in a direction perpendicular to bedding or fabric, where such waspresent.

It is recognized that a requirement of reQression is that the X's,or independent variables, be measured without error. Actually, there areerrors in X as well as in Y. However, in the present study it is reasonableto assume that the errors in X (i.e., raR) are insignificant for two reasons:

i) the average coefficient of variation for each oF the proper-ties in X is quite small (i.e., for 7a, V = .5; for R,'1% = 4.7).

ii) the unit weights given herein are in agreement with unitweights obtained by others, for those rocks which are reportedin the literature (i.e., 2.3, 3.3, 4.1, 5.3, 6.1, 8.1,et cetera);

164

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90 J__ _ _ _ _ _- - -

80 - Note " ZZ270 - I) 7 0 = dry unit weight, pcf -i/ /i

.2) R = Schmidt hardness (L-hammer) ____

60 3) sy.,= one standard error of estimate /_ _

for experimental data__50- _ -

log (o'(ult) : .00014 YoR + 3.16 .2 //2SYK=.31 cr,(ult) .29/ 2.3/

40 r :943 O - /_ /

/.• I 7Z5 2 .-

30-- /

00.~//

-o '«3 S

3 z0- - -y "" /

06"0. 3't / t--"

- /i /S//1 /

* Upper limit of / .

*- 75% confidence / /10 _____ for prediction ______10 Y /q 7.2 •

7.1"*- 9 / •(I ___ ,___-_-_,

"a, _,____•

C 6 10.3/

E ___0

/ /ilt-4

S~* x~ 1401

.i4.,

/ /• .. / • 'Lower limit of

,/"/ y. 75% confide~nceolSy-1, for prediction

020 40 60 80 100 120Yo'R x 10 2

FIGURE 6.19 RELATIONSHIP BETWEEN AVERAGE VALUES OF Yo' RAND ULTIMATE COMPRESSIVE STRENGTH FOR ROCKIN UNIAXlAL COMPRESSION (SEMI-LOG PLOT)

165

Page 191: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

also, the R-values were regularly checked against a standard,and were found to give identical hardness readings throughoutthe test program.

Therefore, all relationships and corresponding charts, presented in this sec-tion, are based on the assumption that there are no measurement errors in X,or that they are so small they can be neglected. (Reasoning similar to i andii, above, is used in the cases of Sh and V as well.)

By means of the functional relationship presented in Figure 6.19,uniaxial compressive strengths can be approximated for various combinationsof Schmidt hardbisss and unit weight. By use of this procedure, a rockstrength chart has been developed and is shown in Figure 6.20. By obtainingthe Schmidt hardness, R, and the unit weight, 7a, an estimate of the strengthcan be made. The statistical dispersion, or possible deviation from the cor-rect value of strength (defined by the 75% confidence limits in Figure 6.19),is shown by the curved line at the left side of the chart. For example, theDworshak gneiss (4.1) has an R-value of 48, and a unit weight of 175 pcf.By entering the chart at R = 48, and following the short-dashed line up toYa - 175, the strength is estimated by then proceeding horizontally left tothe value of 0a(ult) = 21,500 psi. Statistical dispersion from the estimatedvalue of strength may be as much as + 8,500 psi, which is shown by the hori-zontal distance of the dispersion line from the left border. The actualmeasured strength of the Dworshak gneiss is 23,500 psi, as given in Table 4.2.

Unfortunately, a strict adherence to a purely statistical dispersionresults in an unreasonably wide variation in predicted values for the higherstrength rocks. Such a variation was not actually observed in the experi-mental data in the present study. Therefore, in the realistic applicationof this chart to engineering projec~s, use of the statistical dispersionlimits may not be warranted.

b. Relationship between Schmidt hardness and modulus of deformation

Just as for strength, the correlation between Schmidt hardness andtangent modulus of deformation at 50% ultimate strength is considerablyimproved when R is multiplied by unit weight. This relatic'nship and thecorresponding linear regression line are shown in Figure 6.21 for which thecorrelation coefficient r = .847. (Figure 5.14 shows the relation betweenEt and R alone, for which r = .731.) A still higher correlation is obtainedby squaring the unit weight and multiplying by R. for the independent (X)variable. This relationship is shown in Figure 6.22 in which r = .876.Again., one standard error of estimate for the experimental data is shown bythe short-dashed, parallel lines. The 75% confidence interval for prediction,as determined by equation (6.1), is given by the heavier-dashed, hyperboliclines.

The regression equation in Figure 6.22 is used for computing thetangent modulus of deformation for various combinations of Schmidt hardnessand unit weight. From these computations, a rock modulus chart has beendeveloped and is shown in Figure 6.23. Just as for strength, by determiningthe Schmidt hardness, R, and the unit weight, 7a, an estimate of the tangentmodulus at 50% ultimate strength can be made. The statistical dispersion ofthe data, as defined by the 75% confidence limits from Figure 6.22, is shown

166

Page 192: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

60III T -w-14-

500

00

K 20

I- I

4---

10Il

9.

16

Page 193: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

C)

I uj

ui -

CLd

W 4

cn- 0

0 .- PC

Ir , - < C-i u

WIA

ollotIS) 901 v s 113 '2lloPOnpo luo~uo.1

168

Page 194: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

U i

.22

*0 Z

- ___- 40 -!

DC

- 00'

1u- CL

C) >

0 N 0

w Q&J

fin 9.) 301 x S 3 'SlfP)d U~~

E6

Page 195: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

iW

i ' I I I" I; ýu C!. h. C",A

-

I 3 -} _,_.: __i,, l--",,, I _ _,;

00I- . I i__

_ _ _ ___ _

w*t 3

5 --

0 5 - - - I - - I-ScmitHodn, R(LHmmr

1701

.... ..... ."

// 00 oooo ,,oo

ipi

FIGURE C.253 RO f•:•ODULUS CHAIMT BASED O il SCH NItDT ý M -2 ,1 S3

170

Page 196: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

by ttI: curved, so Id I i.'ie t~. tL left s I• f C'f t OV c".rt. Thus, for cx:,le,by cntering the chlrt at R - i; (trnir, fý,- i. s. •.,; s) O d foflc.,ing teshort-c'a:hed i inc to Ya T 175, then hoI ::crV: lcft1 Et is estinln:t:•d to be9.1 x 10 psi (+ 2.4 x 106). This is ct:o t•r,,:•- to the •::surcd mJlusvalue of 7.8 x TO psI, as given in Tablc 4:,3.

A strict statistical dispersion, as deýterr.incd frcm the confidencelifnits In the arithrletic plot of Ficure 0.22 incrccses with d(creIsingmodulus below the deta mcan. This is sU_>:ni by the curvinrg, di spersion l i,.bclow-vý Et - 7.5 x 106' psi. If this dS r 'r ic is used for the I;.. .rocks, the predict;d ,.culi v:lucs ,:A:,I I, o -os . -' t r tý' .;;i;A, for c;:C AI -.at Et l x 106 psi, th ste-tisticssl disrý,,rslcn is shc,:n tco be : 5 x I1O psi.

Such a dispersion is not rce,-sonable in CrTIsn,ýce.ring use-e, since ncntivemoduli values do not exist. Further, thl data in the presentstudy are, in reality, closer to the regression line than the statisticaldispersion would jnfer. Therefore, for estimrating tangent moduli valuesbelow Et - 9 x 100 psi, it is suggested that the dispersion be obtained fromthe dashed line extending through the origin or, perhzps even more realis-tically, ignored altogether for actual engineering usage.

6. SHORE HARDNESS AS AMl INEX OF STR.T17,' /D 07.TiD

The Shore scleroscope has proven itself over the years to be a veryuseful laboratory instrument for measuring re!ative dynamic-hardness proper-ties of metals. The scleroscope has, in recent years, been frequentlyutilized for laboratory-hardness measurcrments of rock, as described inSection Three; it has also been used in the present investigation for thispurpose.

The relationship of the Schmidt rebound-hardness values to thosedetermined by the Shore scleroscope is plotted in Figure 6.24. Two least-squares regression lines are shown, tog.athe-r with their correspondingequations. Line R is the regression line of Y on X, for which Shore hard-ness is the independent variable; and line Sh is the regression line of Xon Y, for which Schmidt hardness is the independent variable. A reasonablyhigh degree of correlation between the two methods for measuring hardnessis indicated by the correlation coefficient, r = .872. The Shore hardnessmeasures a very fine-pointed, surface property, whereas the Schmidt hardnessappears to measure a broader, more macroscopic, mass-hardness property ofthe specimen.

Because of the obvious relationship between Shore and Schmidt hard-ness, and because the scleroscope is a standard piece of equipment in manytesting laboratories, the same procedures as presented for the Schmidt harmaerare utilized in developing rock property charts based upon Shore hardness.The relationships between Shore hardness and the strength and deformationcharacteristics for rock, together with the corresponding charts, arediscussed only briefly in the following paragraphs because of the similarityto the discussion presented for Schmidt hardness.

a. Relationship between Shore hardness and compressive streML

The relationship between Shore hardness and compressive strength waspreviously given in Figure 5.4, in which r - .897 for linear regression. Cy

171

Page 197: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

6o ru•.72 ..

1o

4.1.

R10.1400

35 •

30"

25 -Sh

S, h "2 15R -43 3

v

Sivy=- 13.1r a .. 72

400 -6 60-- *00 -1 00_ -

Shore Hordnes$, Sh (Sids)FI GU R• E .24 F(--L AT IC,", C ,.! -T N•., AV E R/G. A .LUZ. S OF SHORZ

H^A Ri,. T) S A 4 SCHM3IDT HARCN'ES,' FOR ROCK

172

Page 198: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

mul t) p yinj thN: SI ra h,";- dr s b, th c ur,Lt t,: o nh ocurvif I i[ r plot in Ficre r c 6 i s o ....rt I ,

A serni-lorarit!il,:,c plot of the dat3s~c in nFigure 6.25 is givenin Figure 6.26, for which r - .921. The recression cquatiori in both ficuresis obtained from the linear regression line given in Figure 6.2-5. CnCstandard error of estimate, Sy.×, is shown to be .37%a(ult) in this plot, ascomparcd to .31la(ult) based on Schmidt hardh,:s. The 75%, confid tce beltfor pred. ction is, thus, somewhat wi c•r tla,:n thnt for Sc.hr, idt h:rd s;th'r.ercforc, the statistical dispersion at a;y cstiratcd strength level iscorrcepondinrjly greater.

On the basis of the functional rcletionship in Ficgvre 6.2', a rockstrength chart has been dcveloped and is so.o'.:n in Figure 6.27. This chartis identical in formi with the chart based on Schmidt hardness in Figure6.20. Thus, again using the Dworshak gneiss (4.•1) as an example), the chartis entered at Sh = 69. Following the short-dashed line up to 7 a = 175,then proceeding horizontally to the left, the strength is estimated to be26,000 psi (L 13,500). This is comparable to the measured strength of23,500 psi, and to the strength predic'ed by the Schmidt hardness equal to21,500 psi. Note that the statistical dispersion approaches 50% of theestimated value, whereas the estimated value is actually only 10.5% greaterthan the measured strength. Further, the strength predicted by the Schmnidthardness is only about 8.5% lower than the measured strength.

The rock strength chart based on Shore hardness, as shown in Figure6.27 appears to be limited to rocks with strengths greater than 5,000 psi.This is due to the emphasis given to regression analyses in the developmentof the chart, and the consequent regression line defined in Figure 6.26 forall 28 rock groups. The two., loý,,'est strength rocks, rock salt (9.1) and tuff(14.1), are probably not correctly represented by the suggested functionalrelationship. Indeed, the correct relationship may, more properly, curvedownward tovward the origin. Additional investigation and separate analysisof the lower-strength rocks would likely result in better definition forrocks having low Shore-hardness values (i.e., less than 30).

b. Relationshi betwteen Shore hardness and modulus of deformation

As in the case of Schmidt hardness, the correlation between Shorehardness and tangent modulus of deformation at 50% ultimate strength isconliderably improved when Sh is multiplied by 7ap and even more improvedwhen 7a 2 is used instead of 7a. The re~ationship between Sh and Et has beengiven in Figure 5.13, in which r = .746. Figure 6.28 shows the relationbetween 7aSh and Et, for which r = .800. The best correlation is shown inFigure 6.29 between a 2Sh and Et, for which r = .831.

Figure 6.29 shows the limits for one standard error of estimate, andthe 75% confidence belt for prediction, as determined by equation (6.1).

When compared with the similar relationship for Schmidt hardness, Figure6.22, the confidence interval in Figure 6.29 is seen to be somewhat broader.

A rock modulus chart based on Shore hardness and unit weight issho.4n i,-. Figure 6.30. This chart is identical in form and use as the chartbased (n Schmidt hardness and unit weight of Figure 6.23. The regression

173

Page 199: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

CLl

9*4 U)

9' ~0 W

0~- 9.

*( 0

S.. (

0 j

9.rw Z

IM4

cz

CL; U)u)

wa 4 U

9.C 00

- -. ~ -- V

b 0 4 w-.- + 9

w I--

L41 x sdS41~v m '15MI DA~soiZoo C

1704

Page 200: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

90- -

so - Note: -/

- I) 7,= dry unit weight, pcf ____

TO - 2) Sh = Shore hardness (sides) estimat

60 3) sy.= one standard error of estimate-for experimental dato / I I

log a 0 (ult) :.00066TYS,+3.62 4 .7FSy.I =.37coo(ult) l.2."'

r: .921 @1./ / *z3

40LL6./ 2.1 i

1.20 5.2 i

30 s•o/, /30 z -/s __ / ___

X"Q 2 Uoper limit of /

.75% confidence -7 / -l

for prediction 13.1 /y=- ,o ,oc.o ,,-3 1/ 41'

0('132 /,

3..1

o, ? .5Z 07.2-

9%

in o / .v .~ L. ___,-

E -7-

14. /1

91 ____ \-Lower limit of__

75 '-Y / • .,-e

for prediction

0 40 so 120 160 2002

a X 10

FIGURE 6.26 RELATIONSHIP BETWEEN AVERAGE VALUES OFYO-Sh AND ULTIMATE COMPRESSIVE STRENGTHFOR ROCK IN UNIAXIAL COMPRESSION(SFMI -LOG PLOT)

175

Page 201: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

.1 .j

20

0

4-

Not

Diprso limit defined _

I I Note

o io 20 30 40 50 60 70 80 90 100 110O1;

Shore HordncS3, S h

FIGIL'"72 6.27 ROCK STRE"1GTH CHART EASED ON SHORE- HADE-.

176

Page 202: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

0j0

0 w~

-~~~~ - ---

*0

00 0

0 0w

-10

a;~ zz

06 0

NS

0 Cý z

- o- -.

~ 10 Ck W

0

ow II

-1140 401x4d 1 iippy ueu Lc

177

Page 203: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

S LL0 .

00

l* 0

w Z

000

CL 0

e~.a

w W

_A IL - -

0 1~E - ~ E

0

0 6 N 0

w(9tDj )l V) s 3'n~pf U~~

C17

Page 204: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

/1aio

CL'IC

z --t - - -

00

4-

36 ~

ol I _ I as shw (Se tet)I

0o _0__3'___0 6 7 o 90 10 11 2

17

Page 205: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

equation, given in Figure 6.29, provides the mathematical basis oi the chart.In estimating the tangent modulus for Dworshak gneiss (4.1), the chart isentered at Sh = 69. By following the short-dashed line up to 7 a =6175, thenleft horizontally, Et equals approximately 9.4 x •06 psi (Q 3 x 10 ). Thisis comparable to the measured modulus of 7.8 g I0 psi and to he modulu,predicted by the Schmidt hardness of 9.1 x 10 psi (+ 2.4 x 10A).

Just as for the chart based on Schmidt hardness, the statisticaldispersion is shown by the curved line on the left of the chart oor Shorehardness; Figure 6.30. Again. for this chart, below Et = 9 x I0 psi, it issuggested that the dispersion be estimated from the dashed line extendingdown toward the origin, rather than from the stetistical, curving line.

The rock modulus chart, as shown in Figure 6.30 implies that thetangent moJulus for rocks having low modulus values may not be evaluated bythe Shore hardness. This is apparent for tuff (14.1) and rock salt (9.1).Again, this is due to a strict adherence to the statistical, regression lineof Figure 6.29, which apparently does not properly bapresent the lower-modulus rocks. Such rocks may need to be separately analyzed in order toobtain a more representative correlation among the engineering propertiesof th. _- rocks and the Shore scleroscope.

7. SONIC VELOCITY AS AN INDEX OF DEFORMATION

A comparison of the static and dynamic properties for rock has beenpresented in Section Five. Figures 5.22 through 5.27 show various relation-ships between dynamic properties based on some function of sonic velocity,and static deformation propertie. of rock. In all cases, the correlation isquite good and the relationships are fairly well defined. Thus, it appearsto be logical to utilize the sonic pulse velocity as an index for staticmodulus of deformation.

The sonic velocity has excellent reproducibility as indicated by thesmall coefficient of variation in Table 5.1 (V% = 1.9). Because of thenecessary preparation of the specimen, and the specialized nature and costof the laboratory equipment, the sonic velocity at the present time does notfully meet the criteria for an index property, as given previously. However,because numerous rock laboratories are equipped to measure sonic pulsevelocity, and because of its relationship with .;tatic modulus, a rockmodulus chart based upon sonic velocity is included herein.

The relationship between sonic pulse velocity and tangent modulus at50% ultimate strength was given in Figure 5.18, in which r = .860 for thelinear regression line shown therein. The data, in accord with theory,indicate that a curvilinear relationship would provide a better fit. Again,a linear relationship was shown in Figure 5.23 between th~e constrained modu-lus (a function of 7aVp 2 ) and Et, for %ich the correlation coefficient,r = .901. Finally, in Figure 6.31 a plot of 7aYp in relation with Et isshown, in which a curvilinear relationship prcavdes the best fit of the data.

The data shown in Figure 6.31 are given in the Semi-logarithmic plotof Figure 6.32, in which r = .929 for the linear regression line shown. Onestandard error of estimate is equal to .31 Et7 and is shown by the lighter,

180

Page 206: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

0

0 V

cr~~

w Zcz:

.0 LjW

N-

>9

L:A

0 >0

CL_

_ _

j

to a) o I- r

0 10 D40

__ b co 0L

C~ o

U_

.00

-

Z aJ

-1 UN

w

'l !d '1 'fIsnnolPd 4u9buo.j

181

Page 207: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

30

log E, .389 x 10-6y, Vt + 5.72.31 E/

C-_r =. 929__20

9B ?

11,2 4 ,112o• ,o ... . •:/.i/• ! :

-. I__2

*0 0o Upper limit of 7r- j7 ~5 -75% conf idence - - -

for prediction / 1* / I~o

S- io. •7/ Lower limit of

_or /. 75 % confidence""2 -5 3 - /.. for prediction

01 2_ _

zI I __

/ Note:/1) Et obtained1 from straight-line portion

o / o'- curves, i.e., at stress level1.0 - - o-o= 50 %odult), except for 9.10.9 q0= -"0 4 Wit%:(ult)"0.80' iS i-f i 2) y =dry unit weight, pcf."0.7 3) Vp from IWt loading cycle for

0.6 -= 5000 psi.0.75 ' It 4) Sy.: one standard error of/ ./0estimate for experimental data.

0.4 1 1 1 1...

0"30 o00 200 I300 400 500

FIGURE 6.32 RELATIONSHIP BETWEEN AVERAGE VALUESOF y.V AND TANGENT MODULUS OFDEFORMATION AT STRESS LEVEL OF ONE-HALFULTIMATE STRENGTH FOR ROCK IN UNIAXIALCOMPRESSION (SEMI-LOG PLOT)

182

Page 208: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

short-dashed lines, parallel to the line of regression. The 75% confidencebelt for prediction, as determined by cquat ion (6.1), is also showin, and isnoted to be similar in form to the semi-logarithmic plots for strengthgiven in Figures 6.19 and 6.26.

A rock modulus chart based on dilatational wave ( p:z pulse)velocity and unit weight is shown in Figure 6.33. This chart is used inthe same manner as those for Schmidt and Shore hardness presented inFigures 6.23 and A.30, respectively. It is based on the functionalrelation given in Fioure 6.32, and requires only the dry unit weight andthe sonic pulse velocity of the rock.

In estimating the tangent modulus at 50% ultimate strength forDworshak gneiss (4.1), the chart is entered at V = 150350 fps (i.e., thevelocity measured at a stress level of 5,000 psiY. By following the short-dashed l~,ne up to r0 = 75, then horizontally left, Et is estimated to be5.8 x 106 psi (÷ 2 x 100). This is comparable to the measured Et of7.8 x 106 psi at 50% ultimat9 strength. Et predicted by Schmidt hardnessis 9.1 x 106 psi (+ 2.46x 10 ), and Et predicted by Shore hardness is9.4 x 106 psi (t 3 x i0 ). It is interesting to note that the tangentmodulus for Dworshak gneiss, when measured at the same stress l1vel as thevelocity (i.e., 5,000 psi instead of 50% ultimate), is 5.2 x I0 psi, asgiven in Table 4.3.

Although the above discussion pertains to intact rock specimens testedin the laboratory, it is pertinent to observe that the seismic (dilatationalwave) ve:ocity measured in the field is one of the most economical proceduresused in subsurface exploration. The relationships and charts, presentedherein, for intact rock cannot presently be utilized for field evaluationin connection with seismic exploration. However, at such time as theinfluence of geological discontinuities on rock-mass behavior can beproperly evaluated, the seismic velocity (which is related to the sonicpulse velocity) will then likely prove to be an important, economical

"-' •f ,_'.-deformation ý _ractaristict8.

183

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20

12.

K" j+ 4 i- ii/ /7 1- "

S,/, t I, -, ! _0 i / ,•_

O / <..! 7

6__ '"; - - -

0 - 2< '

SIC

07 l..

06 ,Note06 i Dispersion limits

O.• -J ....... • defined f r 7•, confidence

0 4 . . ... "-

- _ .. . . . .. .. . .. . . . ._.. . . . . . . .04

05

S0- 2 4 6 a 10J 12 14 16 le 20 22 24

Sonic Pul.se Velocity, VP, fps x I0 3

FIGURE 6.33 ROCK MODULUS CHART BASED ON DILATATIONAL.WAVE VELOCITY

184-

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SECTION 7

SURMPAY AND COIUCLUSIO'IS

An experimental investigation has been conducted with the objectiveof developing an engineering classification system for intact rock and arelated set of index properties. This study has not dealt with the charac-teristics of the in-situ rock mass with its inherent discontinuities. Rocksfrom 27 localities, representing the following 13 geological rock typeswere studied: basalt, diabase, dolomite, gneiss, granite, limestone,marble, quartzite, rock salt, sandstone, schist, siltstone, and tuff.Laboratory tests were conducted on NX-size cylindrical core specimens ofthese rocks in order to determiue the following ten physical and elasticproperties: unit weight, uniaxial compressive strength, Shore scleroscopehardness, Schmidt hammer hardness, abrasion hardness, absorption, point-load tensile strength, Young's modulus, Poisson's ratio, and sonic pulse(dilatational wave) velocity. A total of 257 rock specimens, all havingL/D ratios of 2:1 were tested in this investigation.

All tests were conducted on specimens which were initially oven-dried,then allowed to remain in the ambient air of the laboratory for at least twoweeks prior to testing. The following nondestructive tests were performedon all specimens: dry unit weight, Shore hardness, and sonic pulse velocityunder a uniaxial seating load of 100-150 psi. Approximately one-half of thespecimens from each rock group were subjected to sonic velocity and stress-strain measurements while undergoing two complete static-loading cycles upto 5,000 psi uniaxial compression. These specimens were then loaded tofailure on the third cycle, during which stress and strain measurements onlywere obtained. The other one-half of the specimens were subjected toSchmidt-hardness tests, and then were tested for determination of abrasionhardness, absorption, and point-load tensile strength.

The test results for each group of specimens were subjected tostatistical analyses in order to obtain average values and coefficients ofvariation, and to determine the number of replications required for everyproperty of each rock group included in the investigation. The average datafor each rock-group property were subjected to statistical correlation andregression analyses from which the least-squares regression lines, simplecorrelation coefficients, standard errors of estimate, and functional rela-tionships were determtned for selected pairs of variables. These relation-ships were presented graphically for visual comparison with the correspondingtest data. All data reduction and statistical analyses were performed withthe aid of the IBM 7094 electronic computer.

Static and dynamic properties for the rocks in this investigationwere compared on the basis of the theoretical equations for the constrainedmodulus of deformation. The constrained modull values were computeddynamically as a function of the sonic pulse velocity, and statically as afunction of Young's modulus and Poisson's ratio from static stress-strainmeasurements.

185

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A system of engineertr.g cle.s1ficmt~on has been proposed In whichIntact rock rnay be classified in terms of its strcngth and deformationcharacteristlcs. Vith this system rocks can be classified by either deter-mining thz strength and modulus of elasticity in actual laboratory tests orby using the approximate values from the index property charts. Five chartshave been presented from which the strength and modulus values may beestimated. ThE charts have as their bases the numrarical indices obtainedby either the Schmidt hammar, the Shore scleroscope, or the sonic pulsevelocity, each used In conjunction with a fourth index property, the unitweight of the rock. The charts also provide an indication of dispersionof the strength and modulus values, based on the 75% confidence intervaldetermincd by statistical analysis.

2. CONCLUSION, S

The more Important conclusions and pertinent observations drawnas a result of this research study are summarized in the following paragraphs:

1) An engineering classification for intact rock has been developedwhich is based on the compressive strength and modulus ofelasticity -- two important physical properties of rock thatenter into many engineering problems. The classification isconsidered a workable and useful system. It is sensitive tothe mineralogy. textural fabric, and direction of anisotropyof the rock so that specific rock types fall within certainareas on the classification plot. (See summrary plots forigneous rocks, sedimentary rocks, and metamorphic rocks inFigures 6.4, 6.8 and 6.13, respectively.) In the proposedsystem a rock is classified on the basis of its unconfinedcompressive strengths into one of 5 categories: Class A -Very High Strength (greater than 32,000 psi); Class B - HighStrength (16,000-32,000 psi); Class C - Medium Strength(8,000-16,000 psi); Class D - Low Strength (4,000-8,000 psi);and Class E - Very Lf-i strength (Less than 4,OQU psi). iherock Is further classified on the basit of its modulus ratio(defined as the tangent modulus at 50% ultimate strength dividedby the uniaxiai compressive strength) into one of three cate-gories: Class H - High Modulus Ratio (greater than 500);Class L - Low Modulus Ratio (less than 200); and AverageModulus Ratio (between 200 and 500) which carries no letterdesignation. Thus, a rock may be classified as BH, BLP B,et cetera.

ii) The results of this investigation verify that meaningful Indexproperties may be determined for rocks. Usefulness of theseproperties to engineering classification is indicated by (a)their relationship to material properties which are used indesign (modulus of elasticity and unconfined compressivestrength), (b) their simplicity, low cost, and rapidity ofdetermination. and (c) their reproducibility. The Schmidthammer hardness together with the unit weight show the greatestpromise for use as Indices of the strength and modulus proper-ties for intact rock. Again., when used together with the unit

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weight, the Shore hardness As an index for the strength andmodulus properties, but It has a lower degree of correlationwith either of these properties and is more limited to laboratoryusage than the Schmidt hardness. The sonic velocity, also inconjunction with unit weight, is an index of static modulus.However. the sonic velocity apparently is not as good on indexproperty as Schmidt and Shore hardness because It has higherstatistical dispersion values. Further, It does not fully meetthe requirements for an index property because of the more costly,specialized nature of the laboratory equipm,2nt needed for itsdetermination. It is more restricted in that it cannot be useddirectly as an index of compressive strength.

Several, interesting subsidiary observations have been noted duringthis investigation. Some of these observations have also been made previouslyby other investigators. These observations are briefly sunmarized as follows:

i) In general, crystalline rocks have nonlinear stregs-strain curvesthat are S-shaped. The curves are concave upward at low stresses,approximately linear at 50% ultimate strength, and concave down-ward as failure is approached. This behavior Is more pronouncedfor the lower-strength, lower-modulus rocks, and is not soapparent for the higher-strength, higher-,nodulus rocks for whichthe stress-strain relation is nearly linear. The nonlinearelastic behavior of rocks under uniaxial cori:pression is attrib-utable to minute cracks which are open at low stresses andbecome closed as the stress is increased.

if) Most rocks under unlaxial compression exhibit an elastic hystere-sis in their stress-strain curves during unloading. Because offriction, it has been suggested that cracks which have undergonesliding during compression do not immrediately slide in theopposite sense when the load 4- redt",d; thus, a clockwise loopis formed I, the btress-strain curve as the stress Is raised andthen reduced to zero.

iII) Sonic pulse velocity for rocks increases with increasing stress.This effect was noted to be most pronounced on those rocks whichexhibited well-defined, S-shaped stress-strain curves. Both theincrease in sonic velocity and the shape of the stress-straincurves are apparently due to closing of minute cracks underincreasing stress. The greatest effect of stress Increase wasobserved in schist (01.0). Wthen the axial stress was increasedfrom 115 psi to 5,000 psi) VP increased by 132%. The smallesteffect, for the same stress increase, was exhibited by Solenhofenlimestone (6.3). for which Vp increased by less than 1/4%. WIhenthere is no pressure on the rock, open cracks (which are mostpredominant in schist) impede the prog-ess of the sonic wavewhich must then travel around the cracks. The percentage Increasein Vp, for the majority of the rocks in the present investigation,was found to be less than 10% for a stress increase from 100 psito 5,000 psi.

187

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iv) In order to obtain meaningful sonic velocity data from rocks,a relatively large stress must be applied in the direction ofthe wave prepagation so that a terminal velocity is approached.For most rocks in this invwstigation the greatest increase invelocity took place within the first 1,000 psi axial stress. Innearly all cases, a terminal velocity appeared to be approachedat 5,000 psi. However, no measurements were made above 5,000 psi.

v) In general, rocks which have initial modulus values E, of lessthan 9 x 106 psi and sonic velocities V of less than 16,O00 fpshave stress-strain curves which are initially concave upward.Also, such rocks exhibit relatively large increases in both modu-lus and sonic velocity when the stress is raised from 100 psi to5,000 psi. In such cases the initial modulus is lower than thetangent modulus at 501 ultimate strength. On the other hand,rocks for which Ei is greater than 9 x 106 psi and Vp is greaterthan 16,000 fps show very little increase in velocity and, ingeneral, show a decrease in modulus as the stress is intreasedto 5,000 psi. The latter have stress-strain curves which areinitially linear. or slightly convex upward and, therefore, mayhave somewhat higher initial modulus values than tI,'. %angentmodulus at 50% ultimate strength.

vi) The values of dynamic and static properties of rocks are equalonly for compact rocks at low stresses. At high stress levels(i.e., 5,000 psi) the values of dynamic properties are 10-20%greater than static properties for compact rocks. For lesscompact rocks, the magnitude of the dynamic properties may be100% greater than the static properties at low stress levels,but the difference between them decreases with increasingstress. However, it has been suggested that these lower-modulusrocks apparently are not sufficiently homogeneous and isotropicto meet the cenditions for which the formulas from elastic theorywere derived.

vil) The propagation velocity of dilatational waves in rock tends toapproach a lower limiting value regardless of the stress levelto which the rock is subjected (within the range of stressInvestigated herein). This observation is probably a functionof the structure of rock, the degree of cementation, graincontact, et cetera. The lower limiting velocity observedherein is approximately 6,600 fps for the average density of162 pcf for all rocks in this investigation.

viii) The influence of anisotropy on sonic velocity decreases withincreasing st.,ess level for the Luther Falls schist (1!.l and11.2). The ratio of VP in the direction of foliation to V^ per-pendicular to foliation is 3.1:1 at a stress level of 110 psi,but only 1.4:1 at a stress level of 5,000 psi. Since thiseffect was not studied for any of the other rocks in thisinvestigation, no general statement regarding the effects ofanisotropy can be made.

188

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ix) In general, oven-drying rock at 1000 C., causes a decrease insonic velocity of less than 2%. Two exceptions which were notedare dolomite (3.2), for which the magnitude of the velocitydecreased by 8.5%, and marble (7.2), for which the velocitydecreased by 21,6%. The iatter is probably related to the verylarge grain size, and corresponding nonuniform expansion andcontraction.

x) M!gative values of Poisson's ratio were consistently observedfor two marbles (7.1 and 7.2) and schist l1.1) at low-stresslevels (i.e., approximately 1,000 psi). The physical conceptof this is not completely understood although it appears to berelated to the closing of microcracks in the axial directionwithout an attendant lateral expansion of the sample. Onlythose samples with pronounced S-shaped stress-strain curvesexhibited this phenomenon.

3. SUGGESTIONS FOR FURTHER RESEARCH

Several areas of additional research are suggested. Some of theseare the natural outgrowth and continuation of the present investigation;others are the result of miscellaneous observations made during the courseof the investigation. These are commented on in the following paragraphs:

i) Additional tests should be made on almost all rock types toobtain more data points (tangent modulus and compressivestrength) For the rock classification charts of Figures 6.4to 6.17. With more points it will be possible to draw moremeaningful envelopes for each rock type (i.e., the boundingenvelope which includes 75% of the poin~s).

ii) Additional testing of numerous samples of all rock types shouldbe carried out in which the index properties (Schmidt hammerhardness, Shore hardness, sonic pulse velocity, and dry unitweight) are determined as well as the unconfined compressivestrengths and tangent moduli at 50% ultimate strength. Thenew data points when plotted on the corresponding index propertycharts of Figures 6.19, 6.22, 6.26, 6.29, and 6.32 would aidin verifying or modifying the regression curves and may increasethe level of significance.

iii) As more data points for a particular rock type become ava6lableit would appear worthwhile to construct individual index propertycharts for that rock type. The regression curves and signifi-cance level should prove to be enhanced when working with a plotof only one rock type versus a plot which contains all rock types

as is currently being presented. It is recognized that a con-siderable amount of testing will have to be done before-enoughdata become available for constructing these individual plots.

iv) Detailed investigation of the index property relationships ofthe Class D and Class E rocks is desirable as the data for these

189

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lower strength rocks are sparse. The shales in particular warrantmore study.

v) Tho data obtained in the present study did not permit final con-clusions to be drawn with respect to the textural classificationsuggested by Deere (0963b). As additional test data becomeavailable, his proposed textural grouping, i.e., interlocking,cementcd, laminated-foliated, may allow for more consistentInterrelationships among the physical rock properties than whenthe rocks are undifferentiated.

vi) Because of the qualitative use presently made of the abrasiveproperties of rock in riassifying exploration drill core (i.e.,its response to scratching with a knife), and because of thequantitative relationships between abrasive and strength proper-ties as shown in the present study, special investigationsdirected toward the development of a portable, abrasive-hardnessindicator should prove to be worthwhile.

vii) The development of a re-usable crystal transducer which willprovide for measurement of shear-wave velocities under variablestress conditions continues to be a requirement for betterunderstanding of the relationship between static and dynamicproperties of rocks.

viii) The effects of moisture and of anisotropy on the behavior of theintact rock materials should be studied further. Both unconfinedand triaxial compression tests should be conducted at wvriousrates of loading and different conditions of drainage.

ix) As frequently reiterated, a universal engineering classificationsystem for rock in-situ must include an indication of theinfluence of the geological discontinuities. Thus, in order toextend the system as developed herein to thL. in-situ rock mass,a method of classifying the rock in accordance with the numberand type of geological discontinuities must be developed. Sucha continuing study would be a natural outgrowth of the presentinvestigation. Its successful completion would allow realisticestimates to be made of the expected engineering behavior of anin-situ rock mass solely on the basis of the rock quality classi-fication.

190

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APPENDIX A

PETROGRAPHIC DESCRIPTIONISS

AND

THIN-SECTION PllOTO;ICRCG~lJ2llHS

'9'

Page 217: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

This rock consists of 48% plagioclase (An4 ), 165% olivine,18% augite, 11% glass., 6% rm1cgnotite., and 1% apatite and sphene.Corrodcd olivine granules (0.003 to 0.02 rmi) rimm-red with dusty rnagne-

tite particles are contained within an intergrarwlar maitrix of plagio-

clase laths, (up to 0.07 rm-n. In length) Intersertal glass, and augite.

Some zoned plagioclase crystals have grown to lengths of 0.5 (Min. thus

Imparting a porphyritic texture to the rock. Euhedral to corroded.

subhedral crystals of magnetite are scattered throughout the section.

The glass., brown with upper nicols out., is in places partially devi tri-

fled to radial growths of acicular crystals.

Ae"

25X -Nicols crossed 1mm.l)

Black crystals of magnetite and laths of plagioclase(white) with intergranular olivine and augite.

192

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1.2 Basalt IUttle Goose}o Walla Vnlla._Vashin iton

This basalt shows a hyalophitic texture In which ollvina (26%),

augite (5%), laths of plagioclase (410%), and euhodral to subhiedral

grains of titeniferous magnetite (4%) lie in a matrix of dark groon',

probably iron-rich, glass (25%). The 8Vt s crystal size for augite

and plagioclase is 0.2 mn*, although several grains are as much as

2 mm. long imparting a porphyritic texture to the whole. The rock Is

essentially free of alteration products.

4*1'k "I'll IX,r r- r-7 4

4~ "e

p ¶ 'IN

25 ioscrse mKwne plgols ah n agt rsasImarxo las(lc)

- 193

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1.3 0rjv~,G~

This rock contains subhedral phcnocrysts of norma~l zonedplagIochase (Up to 0.0 m,.n. lonne) In a grc'uneý,ioss of olivina (33"',glass (0,titaniferous marn-tita (77), and laths of plagioclase

AnL6 (total pTagloclase Is li%)*L The groundmass minerals are fromi

0.2 nun. to 0.3 r;-,i long. Olivina Is Intersertal to the laths of

randomly oriented plagioclase. All minerals are free of alteration

products.

IJ

I" ~ ~ j

?~

A

aý4-\\ >a14

25X Nicols crossed I u.

Corroded phenocrysts of plagioclase lie in a finegroundmass of plagioclase, olivine., and glass (black).

194

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2.1 kfbje 1 York

This rock containf, .12% plagioclase (0n5 1),, 30% diopside, and

6% accessory rnnarnetitle and apatite (1%). Secondary minerals are

epidote - serlcite (3%) and chlorite ().The plagioclase laths ha~ve

been altered to sericite which, In places, covers large patches of thre

section. Seconda~ry chlorite borders ma~ny of the dlopsiez grains or

replaces them along cleavage directions. Small patches of micro-

pegmatite are intersertal to the plagloclase laths.

-. 2i

25X -Nicols crossed 1 ni.

Randomly oriented laths of twinned plagioclase (heavilysericitized - left central portion) Intersertal to diopside

anhedra. Black patches are magnetite,

195

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2.2 rný1ýn

A very fresh rock containing 4;r/, plagloclase (An5 ) 51%diopside, 1%i' accessory biotite anid less than I% apatite and magne-tite. .Diopsido, crystals (0.5 to 4,0 rij. are either Interscrtal to

plag1oclase laths or cphitically enclose the~m, Exsolution of ortho-

pyroxene on the (001) planos can be seen on a few diopsida, grains.

Widely scattered irregular blobs of magnetite and biotite are closely

associated with diopside. Plagioclase exhibits multiple twinning and

normal zor~ing.

'4 1

A\ V

25X icos crsse mm

Twine crstl ofpaicae 'esra t ipi

196

Page 222: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

2.3 Ivni

The main constituents of this rock, are plagloclase (An59,, 49%)

and diopsidic-augite k- ) The only mnino~r constituent Is biotite (2%).

In places altered to chlorite. Accessory manecntite (1%) Is scattered

thro~ughout the section in grain sizes ranging from 0.2 to 0.8 rmn% and

is closely associated with theo magnctitc. The pyroxene grains (0.5 mm.

to 7 mm. long) ophitically enclose plagloclase laths (up to 4 mm. long).

The plagioclase laths have a random orientation.

* rS'~ - £ *~4 j

42

'6e

25X Niclscrosedmm

Twine plgicls lah /itc yenlsdbpyroene(botomrigh). rreula pathesof agntit

(blak) ae Itersitil topyroenecrysals

~I. ~1(7

Page 223: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

A rnozatc of-dolonite anhedra and rhombs ranging in size from

0.05 to 0 JS rrnm, Tho dolemilte Is clouded with opaque dust which, Insom.3 gra~ins, has tmi~rated to tlec bounedirics.

L?iJ

25X NioscosdIMMozaic inegot fdlmt ris

Smal caliteveinat owerrigt coner

19

Page 224: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

3.2 Do fcwi to(Loco rl t)ia l ja FaI Is~j ~York

An equigranular,, non-porous rock in which r~'o7-is and anhedralgrains of dolomiite (0.06 mvi,) form an Interlocking notwork. Fineopaque dust bordars soman grains.

4

25X -Nicols crossedM.

Interlocking rnozaic of dolomite grains -- low porosity.(Large black areas are void spaces caused by grinding the

thin-section)

199

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3.3 Dcrie!r r a _P~r n cn n T-r re p Mx url

An Interlocking inozaic of dolomite fragments and rhombs

ranging In size from~ 0.05 to 0.14 mm.n A few rounded grains of quartz

end microcline of equivalent size are scattered throughout. The

section shows a continuous fracture filled with calcite.

25 ioscrse m

Dooiewt arwvi fcliectigarsfrmtpcne owrsbto et

20

Page 226: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

4.1 Gneiss (DworshL-) Orofino d,Idýho

This rock Is essentially composed of quartz, plagioclase, horn-

blende, and biotite., with minor amounts of accessory sphene., magnetite,

apatite, and secondary white mica and epidote. The sphene, h3rnb!encee

and biotite are concentrated In discontinuous elongate patches. A few

of the hornblende crystals have attained a length of 3 rrorn. Anhedral

quartz and plagioclase grains (1.5 min~i. In size) form an interlocking

network between the dark minerals. Wispy patches of seconidary white

mica weave and flow through the quartzo-feldspathic layers and parallel

the foliation.

X77

25X -Nicols crossed Inn

Aithedral grains of quartz (white) and twinned plagioclasesLtrrounding biotite flakes with their cleavage planes

In the plane of foliation (top to bottom).

201

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5.1 SrCrt oro.2_ P -rn,,r.C

A coarso-grained alotricarphic-gr~r ular gr•nIte composed of

albite microclino, quartz, cnd bWotitc. Eyfiakitlc intorgrovwths of quartz

and plogioclase are cc:=cn. Aatito, sphaon (altering to leucoxone),

magnetite, and zircon arc accessory. Kast of the feldspars show patches

of secondary white mica. Sci ;:o intergranular areas are filled with fine,

angular quartzo-foldspathic m'.aterial. These areas of possible recrystal-

lization occur roughly along two different fracture planes which are

characterized by discontinuo;us veinlets of quartz and small displacer,ýents

in the minerals cut by the fractures.

q411

4 . Zýý ',/ 0

25X - Nicols crossed I m.

Sericitized microcline (upper right), fractured quartz(bottom center), and biotite (center). Note the two

intersecting veinlets of quartz.

202

Page 228: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

5.2 Grani s Pok. oore Smrinn Cr I nr

This section shows laroo areas of roccrystallizzction and Is cut

by patches and voinlets of calcite. Pl aicc a! f-l dspr (An9, 11%),

is much more altered to sericite than microcline (). Pa~rthito cran(Ir/" are essentially frce of alteration, Qua~rtz (yjIs prc~cn~t ci

large grains (up to 3 "n.), or In patchies vt-.+cre It hos boo.n recrystal-

!zed Into grains of 0.5 mmi. Dark brown biot ite is Intcrscrtal to the

irtz and feldspar. Somec flakes have bacn bent during stress and others

dre altered In part to chlorite along clcnavecs. Large crystals of

sphene (2.7 ffn. long), titaniferous rmngnetite 1) and apatite are

accessory,

~ &

I'N

4, S

4'\

~~ V.

25X -Nicols crossed ni

Twinned sericitized plagioclase crystals (left side),,quartz,, and sericitized rmicrocline (bottom right).

203

Page 229: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

TheJsectron shov,~1s the typical hpdoopi rnlrtxueo

VV

orholaean mcrcln (6''0cobied. othti itegrvihso

m icrocline (casnathd twinnlsemaeing51 of hentralk pusor vItio of40)hdvlphot), bleatate (center, top) quIreuart (extrees oeft),an orthoclase.

witcesesondry whaite zirconan (raghet)ine mak hypdessorhcganularo grnthe.

tot204

Page 230: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

6.1 Limecstone_(Cedford)_df tLor d Indionn

A fossiliferous limastone in which foram tests (up to 0.66 rame

in diam.), brachiopod shells, fragments of bryozoans, ostracods., and

oolites of carbonate material (I m-m. in diam.) lie In a ccmý-,nt of

optically continuous calcite.

J,

PA.*

-~%

25X -Upper Nicol out 1mm.

Fossiliferous limestone. Clear patches represent areaswhere calcite cement was worn away during grinding. Small dark

circles are bubbles in the mounting media.

205

Page 231: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

ki oolitic limastone with oolites, up to 0.6 rrm. in dicmeter, of

microcrystalIIna calcite with smil su nvrutlar c dctritat qut,,rtz grain,

or s h11l! frvn.,nts at tha ccnt ers. Othor saLl frn2rts cd fossil-

Iferous motter, varyIng In size frc-m 0.14 to 1.2 cmn, are firmly ccm-;•ntdd

by a mrtrix of fina-Sraincd calcite having a sc~i,:-!wzt v ari•le graia size.

25X - Upper Nicol out I Mm.

Oolites (center) and shell fragments ina fine calcite cement.

206

Page 232: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

6.3 Soltcffrv.n a Cvar13

An extrcmaly fine-grained rock consisting of minute carbonate

crystals which ir,-y.art a turbid appea~rance to the section. The onlydiscernable variations are lighter, r~ire coarse-grained., slightlyelongate patches of calcite (up to 0.4 nz% long). Faint b--dding tracoýsare evidz~nt (sec photo).

25 Upe ioIu m

Extrmel fie-grine cacitegrondmss I whch ie

Extrgemeyfn-rre calcite graisadoauemnerals. Fint whichdieg

planes (top to bottom) L.-e evident.

207

Page 233: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

7.1 f ~ ,Tct , iprtL Pn

An extremcly pure calcite rmarble having a tightly Inter-

lockinorizaic texture. Grain size varies from 0.02 tym to 0.1 rai1.

k/ 4

2X Nicols crossed I rmm.

Clieanhedra of variable grain size in a tightlyIntelocingmozaic. Cleavage and twinning (bottom

-- center) eieto soegan.Dark circles areair bubbles trapped in mounting media.

208

Page 234: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

(7- 0

A coarse-grained calcite ma~rble with Interlocking calcitagrains (2 rn-n.), svome containing round quartz crystals.

Owl~

4 4

/25 Nioscose1m

Inelokn twne act ran.Salqat

Inlu ion bak fotwt h act uprlf)

I209

Page 235: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

7.5 r1(

An In: uIgrc~nulr ozoaic of calcite anhedra In which "flo,3t'

s ll (0 07 rsz,.) rc•nd;d •rains of quartz and plagloclase.

I;i

25X Nicols crossed I mm.

Calcite grains showing rhombohedralcleavage and twinning.

210

Page 236: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

A highly pure cjuartzose rock In which quartz grains ranging In

size from 0.15 to 0.85 rrrn* show parallel elongation. The grains have

been pressure w,:lcdcd toocthor In a tightly interlocking mozoic pattern.

M~ost grains shclii unduilatory extinction. Spmall wisps and patchcs of

white mica lie bctý,Žein somi Srain boundaries. Small particles of iron

oxide are distributed throu~hout.

P

2X Nicols crossed 1mnu.

Elongate grains of quartz welded together to form amozaic pattern. A few shreds of mica are seen in the top leftsection of the photograph. Grains are elongated in a direction

from top to bottom.

211

Page 237: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

F4 It• .. S. .. .. ... It . ........ C• r ., ,, ,:.fTr o sliind. txo;,.•Irj n. na

A very ccorse-Sralned mnozoic Intergrowth of halite crystals

varying frcom 1/14 In. to 1/2 In. long. All grains contain Inclusions

of anhydrite rannfng In size frcm 0.05 to 0.8 im. These are the only

two minnrals prcsont in this section.

3X Irm.

Ab-ove Is close-up photography of core specimen.

Photomicrograph of thin section was essentially"b•lank" because of very large crysol•s.

212

Page 238: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

10.1 Sand-.t-ne (rr%- 10~~~rs~Tj

This rock consists of tightly packed subangular grains of quartz,

and small amrounts of plagioclase and microcline all having a well sorted

average grain size of 0.15 to 0.2 rnim. Secondory quartz growth serves

as the predominant ccmenting material ; ho-wovcr, in places., a fine -grainecd

calcite comcnt holds the detrital quartz grains in place.

i J,

3

fJ

A"'

25X -Nicols crossed1 u.

Eveni-grained quartz fragments Infine-grained calcite cement.

213

Page 239: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

0,.2 Snndstornj(Crn! r¶cr lrd). Crorsville.j Tnmzssn

This section shon,,s a tightly Interlocking, welded mozaic of

detrital quartz grains (0.1 rma). Thorp Is no authigenic cemenrt., but

a concentration of carbonate or opaq~ue material along some-, grain

boundaries. The cgrains tend to lie with their long axis parallel

to the bedding planos. Flakes of muscovite are scattered throughout

the section.

AL; A

40S

\NJ

25X Ncolscrossd mm

Mozicinerroth f uatzgrinIn ado ooiysnsoe

2149

Page 240: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

10.3 Sendston C!avajlrAen •nuor•Jrizona

This rock is cornposod of well-sorted, subrounded quartz grains

and minor amnunts of microcline. and plgioclase. The grains vary In

size from 0.07 to 0.26 rm. There is very little authigenic cct1,ntexcept for sc;.ne hematite and silica and, as a consequence, the rock

has much open pore space.

V. 4

t'N.

"7 .i " pp •,,

T . •I,.' t+• " N

"!77

25X - Nicols crossed I !mm.

Quartz grains of varying size., some with inclusions ofopaque iron oxides, loosely packed together in a porous aggregate

215

Page 241: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

11.1 11.2 Schst (I ut-"4r V- )O i

M~ extrc"-1ýy cremulakod qurtz-mica-garnot schist with minor

amounts of tourrmfline, stcurolitc, sillirncnnite, zircon, and mna~nctite.

The major constittwcnt, quartz,, Is present as an evon-grained (0.4 roi.)

Interlockingj matrix in w!ihfolia of biotite and muscovite are st~attcrcd.

The biotite co~nt.-LIns s-r1.l crystals of zircon. Tourmalince, present as

small euhedral grains (0.07 r),has a preforred orientation within the

plane of schistosity. Smiall almounts of StaUrolite and sillimanite arc

scattered thrcu~hout the section. Euhedra! garnet crystals, Some up to

0.7 mm. In diamicter, enclose small quartz grains., or have been partially

replaced by rna~matite along Irregular fractures.

-~ u~~--~ ~>* 7,711

V

rp

4 '? / '4

JLJ

25X -Nicols crossed IMm.

Quartz (gray, bl~rk, and white) enclosing blades of micaand garnet (large nearly black crystals., upper left).

216

Page 242: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

13.1 SI ics t one akn sae.k)¶I0hcens V: k,½Jcrney

Angular detrital quartz and plagioclase grains (0.o0 to 0.1 mm,.)

lie in a red, hcmatite-rich matrix, speckled with tiny flakes of clay

minerals (?). Thin cleavage flakes of muscovite lie wit!1 their c -

axis roughly perpendicular to the bedding planrs. Irregular narrow

veinleLs of calcite travrersc the section.

25X -Upper Nicol out Imm.

Dark to black areas are hematite which mark Irregularbedding planes. Light patches are quartz. Elongate

shred at top center of photo is muscovite.

217

Page 243: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

14. 1 ('TffS

This tuff contains num~rcus ftansofwle pyroclastic

material (up to 4 nmi. in length) wilth elongate vesicle's and partially

devitrified sphorulitces. Somn frac,,ants of very fine-grairaed recrystal-

lized quartz are laced with secon~dary vwhite mica. Etshodrol crystals and

crystdi chips of zoned plaggloclase and quartz are scattered throughout.

All are Inclosod In a fine-grained dark., dusty, red matrix of devitri-

fled glass and shards which are rimmcd with black Iron dust and small

amounts of chlorite.

25-ios rse mm.

Chp of qurz(ht) akobclrmtras nshrseepiytevtolsi hrce fti ok

218 ~ Y K

Page 244: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

APPEtDIX B

TYPICAL TEST RESULTS

219

Page 245: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

0- 0

- 0

0 of

Li $ i

'Sd~is eceaij iow ___ __

CL

V -o

4. 0 0

220

Page 246: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

___ ___.2

~ ~ r ft4N

b. L

oil --. 1

I JI

CDY

"Ic tsiSoix

____ __ ___221

10a

Page 247: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

0, .

~34

C j I

ldG1;S £o%led (ssi) b iu

222.~

Page 248: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

I� 'i I r 2- - U) j � A

i�n5-5-,I -� L L iJJI II I I

---- ' - - -

I � I I ti.I I g----- 5

- - - - - - L01 LL

� Se�

i�3

0- .� c�

(I) �0

- . w�['-5

�1*

- -- - /1

� a0� >1'Og

-@0--

��QP

I

gil223

* *

Page 249: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

(Al it If

IUV - ~Z C

.40 -

le [ vekaj I4%I -i%

~. U *

r 8

-- 0

is IseA !oxVld 'czoaIS oixV

224- --

Page 250: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

FA 12 I

CC

0 o

led -- me 4sC)ry

.22

Page 251: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

00 ' 0.cy~

-A a

0 c-

of 1 I '__ UP--

it'd ItcU& -otA

!Zd CZJ CL- -

1 0

Cc

!sd~~~~~~~ .-~4 oiV!dlso4 o

* 0226

Page 252: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

IL L

cr FLWC

!s s--i I_ - f

227

Page 253: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

IC -13

.i.,i Is S piV

b--

C! ~~Q ~O ~'iR~ __~

isd lssj4 oixi Is ... 40; I~%V

228 C

Page 254: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

-~~ - .Ž I i..ii.J

CY o

C6)--a- -

III ____ __~ j~j_md sto IS __ _ m0o

_ _ _ _ .;229

Page 255: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

C-1)

FO I t

!td IsoI ID

vf VV!t ImoI .cq

166

- N - - - - -

c ___ui~J S c W -

1~4 21111-4------to

!sdlssj;S lo!V id IsoiS j~x§ LL

* 230

Page 256: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

I nm ~~ilf,, Vj ob -

Iii10 %b I

I I I \ .iiI I I~,-0

~~e7

- - yL ~ Qf 1

N IDsoI

U) n n, ?snf

LcLL.J.r-i -so l - - II

- -- - -- - _231

Page 257: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

7 IiI EL

!t Icot Ivij-I AJ

-0 le C

I- Pb1

LA C ~ '-~ -

ty to - -

q i- t:- - - -

ied_ -tol *0v o sciSlp

232

Page 258: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

I C [k- -

-5.

0-N ,

CL)

Sopn

--1Cled IsojISjoi%0

_ _ 233

Page 259: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

e34c. Z., t,-s ng.zr'CIOI

ic it go- I l l

C) Cluj v!

~ ~O*~~ ~ e5

onj

* fy

41-~

cJ

N 0

It q-

-t Tsol, "Iix Is Isol ox

234.I~

Page 260: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

~arr~-r-~rto o rrr- . .,f r, -- v- -------- .'---- ,-v- ~ r ft~

-6 0

le imls10JA

- - _~ f~~t~I I35

Page 261: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

(I)

t 6 0iiOv CYýM

"0

cri V) qSi

0 uI

*0 06

9 -YA~

~~~sd~~~~ 'ssooiS jox' oix____ ___

~~~~~0236

Page 262: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

zizzi Il U TILI 7'iLI:-l2 " •

-- - - -,,,i.~

_ _ I_ _ , _ _

0-,,____

• 2>

I-Z

0 °

- -_ _-7

Page 263: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

04 -,rw~m11J~L-a3MI loci tz viI

Js ICDIC4 0%

I L I

1 mu

o tJ -

-- .~Oft

led~ ~~~ tsoj jo% s t~j o%

1238

Page 264: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

L II' _

_ • .• -•_...............

V) o

Scr.

' .- t•.•

" I o - ........

ae W

ODd Vs•l As!V00

239

Page 265: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

a3 (F cliii

CIA 4

4ý;!CO W

mdI csil I-IX VAL

isdi Itoli4 ov4

oo -esl ox t osl ot I ull

--- 4: C ~O W

-F- 0240

Page 266: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

-,rr- -,.-n.. ~ - .a.p -- -.. ,ert- .-. 'r

too

CLLv

ci:

II 9GI -o'/-

241>

Page 267: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

o so ~ it I It

I KI~Jo

10 -. 06

4. r.

cu o

!s- Issil cx- I- ssiS o

!Cd ~~C~A~ ID!X 242

Page 268: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

- n

LL 4

in_ -D - t - i 0

CD 0/

ID w

0--

-i *(fl m

0k

isd sceiS pu

243>

Page 269: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

7-; ý1

13,I I

wd Icai~ I I p

1cd Ic-jo I 1 *- -

w f p

e esls01V le -toj jor

244

Page 270: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

"o" [ \ 4Ek I II

___ ___

...................

o ii

!Itd 'lssoIS oIx!V

_ _ - L

-- -- - ~ -245

Page 271: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

6) -, -i~

F- I,

rI LWI rum

I'., tn IS ~%,

06

0*-y - -- - a , - -

IN)

- - -- - s~' ajCdL!j0' .

!s os i iov s twS3~x

-. -. -- _ _ _ _ _246 ;

Page 272: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

C4 .4-6 -' _ _ _

LMI

is -t s i _ _iu D_

"~~,247

Page 273: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

2 VII

o in

- a

00£0

0

___ 0

~~i2

led 'ssj4S oIxIV - t -s ; - o - -A v

- ----

248- ~

Page 274: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

C, IC

0 in

_ 'I

00 LL-

00 C)

LO~ Li.o>

I I-M

£cx.

I-

100,

249

Page 275: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

Io >

0-- u C

0 K-~u0 a-0

0 1--. 0.

0

(I,0 U.Q v I-

isd ;ssoa4s loiw - -. N

isd Iso4 ix

0 -

is ~siSjVisd IssoA4S IonAV

o .4

In ,..250

Page 276: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

________V ____ I ____

~ J -,.

Jt~ ~1_____ cLo_ __ C

-i - -

-~ bIc

___ __ _ _ I .L __

___ _ _ __ ______0

000

0)401

E 0 0

(no~ ;;p

cr-o!cd~~. a..iSjo%

251

Page 277: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

*- 0

U. u o 0! cyiUo

~ 0

0 (flU

j it 'a'

(Vo o I

*3u!lioJ;S ItD!%V

_. 0

00 0

o (/0itid~~~~~

sIm~I!V!S .i ox IL

252L

Page 278: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

rNr

CL

Q_ (n

o n o

3 4 .

0C1 C- - -- - C---ý Inied -toqlm

253~

Page 279: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

J4i )

E cu S,

c0 0 F- c0

i§of It'V d'

N -

-0

if~d ctsoils I c)i ,s-- -J

isd 5IstaiS jo~x

-~~ ~ ~ ~ : -----------------

0,

254

Page 280: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

COO '

cQ ,,.

IvLhi - --CLs= Q. (i,

I c-C

____ ___ I - - - ___

06II

inI_ _ _

--il-U >

CL~CJ ____ _ __

690 _ _

is IsojS jm U-

__ ~-255

Page 281: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

0 0 c

0- _ !

E CCstr 4ý b" J-Co

C

- o

00c (A b~

Fo

___ ___ %.. C$

q C*

____________ 0 (

u w tC

0~40.C I'

0 Nr -

-o7

0 c

C, wofi -Ycird 10ejr ;.ix &s s~; ox

CJ-56

Page 282: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

C 1L0a

00

0)

2572

Page 283: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

CO 0

.. 0

is' 1,' 01 to

o n

0 I0 IC)

isd *8204S Ic~iV - 0N 9

isd IssoelS oi-x'V

I- F~- CI

C4 )

ItZ+7~

Y J, w

07065,

258

Page 284: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

z

0

0

I z0C,)

0.

.) z

49..

r-or

O~ _ C

isd 'ssaJlS oiO!V U

259

Page 285: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

oo - -

- __30

CAA

P U.

At _ __ _ _ _ o c- - -

st.

2 Lv)0 4. 4

to it I 00

cn w

'7 75

NV

I -1-

,1 I )

- I C

V _ I _

r

- -d 7ssis --itiis so IDII

260

Page 286: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

S - in~ n~f ,~ ,,,,rwCl~i

10¾

0-

tI I U-)-:

0 l

V~. a .

___ 0sol ox

261-

Page 287: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

I M CY-1

e IY

10 0

0 CL

_ 0 -

CC

'~ V 0

___~I ___ __

N._ 8 I

m26

Page 288: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

I~~4I~dzIZZI_

L 2

rc.

C. - fnVLi...iHacto 2 CQ v u

2C

___ es*I Iox

__ _263

Page 289: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

~ I~ nI Ii3S.,

fil

0 0~~.i Q 'j~ I/) '~ IP

v'~-. .tam

~. 1 0

cLii

--0 cc~

0 LA.

* i~d s~oji 2o'4

Page 290: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

i I J I I

e I -J

j IL

- - .- -III III

Page 291: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

-~c U 'I Ii!

V - I

Cl-lAn

CIL- 10

I w__ __5 (>

is V saj -oA

___ __ 0 st

___ _ _ -L-

-sd Iso4 Io - !s sal ou

QW

266

Page 292: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

*00

cc

UU

. z

0

.0-

C-0

Ir-D

0~0

100.

.ui

J-4

isd ssaiS joxV 0

*__ _ _ _ -. _ _ _ _ i- _ _ 267

Page 293: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

E cc

g '0

aain~ ? 0 Lo-

!sd~~~~ le~jSjiVC

0 3 C9

VT It -v

isds 'ssoj4S gIfXI-A -

0

0 0 0

U'

C,

o*o.

!sd ~ ~ ~ ~ ~ ~ ~ ~ N lso& DIV!dIso43Ioiq

~I~I4 268 4

Page 294: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

-- J 4

0

100

00

0 0

oý 0_ CL

cr.~ w OD v

io losjI -ci%

- -60

Page 295: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

V~ a

0 Iv0

c us 0

___ to CLcc

.2- 0

se I*Q- ,

4 0TN

27

Page 296: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

rz.. - -I-Aft0

10

E. zE .2

0 0-

0z

z

CLi

N N w

!sd 0,j~ IDoX8

00

271

Page 297: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

C," 10

~C. M V

cli C.

-t IsI;sj! iciV

CC~. ~ wwd

led~ 1 1s~ o~vIs soI o%- ~tw - - - n 272

Page 298: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

I' I

U.-- J\

* -

- -- an

I I 0

1~b? _ __CA

0 80

8 _0. 8 8 _ ocyb 0 rw

LL

273:

Page 299: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

VA. a

6l CO vi u - r~~

V I;

II >V ~ 8

U8C80

C,

-- ----

0

_ _ 88

Y o - CL__

0

0 -

on i

__ a a

!sd essiS joxV Id IsoilS loix

27

Page 300: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

S~tJ'Wt.~t rwrrt -- A3

liiC,

IjE z__ It cu0in

- - __ _ _ - - 0ti)

isd IseilSjoL%

_ _ _27_

Page 301: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

APPENDIX C

STATISTICAL MIETHODS OF ANALYSIS

276

Page 302: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

APPENDIX C

STATISTICAL METIDDS OF ANtALYSIS

1. GE14FRAL

"Statistics is concerned with scientific methods for collecting,

organizing, sumarizing, presenting and analyzing data, as well as drawing

valid conclusions and r.king reasonable decisions on the bosis of such

analysis." (Spiegel, l961)

In a narrower sense the term is used to denote the data themselves or

numbers derived from the data as, for example, the averages. In physical

tests on rock the average of a series of readings is said to be representa-

tive of the whole. This average characteristic is Influenced by three Impor-

tant factors which introduce uncertainties in the result:

i) Instrumental errors.

ii) Variations in the sample being tested.

iii) Variations between the sample and the other samples that

might be drawn from the same source.

In collecting data on the properties of rocks it is impossible to

observe even one type from all its numerous sources, let alone all rock types.

Instead of examining all sources called the universe or population only a

small part of one source, called a sample, is examined. A sample may consist

of one single observation, or a million observations. A population can be

finite or infinite.

If a sample is representative of a population, important conclusions

about the population can often be inferred from analysis of the sample. The

phase of statistics dealing with conditions under which such inference is

valid is called statistical inference. Because such inference cannot be

absolutely certain, a statement of probability is often used in stating

conclusions.

If a number of identical specimens from a homogeneous sample were

available for testing, or if the test were nondestructive and could be

repeated a number of times on the same specimen, determination of instru-

mental errors (or errors of observation) would be relatively simple because

the variations could be observed independently of the specimen. Since

277

Page 303: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

'•r~~c~ct s~ccirwns are not avnil&ble, tVi variatlons encountered in testinj

inclvý::ý vnriations irhrcrnt within and cm-onn t,%, spccifmns and those caused

by the test eaparatus. Sc;ma of the tests used In deterr,•iriing the physical

pro;.ertles of rock are dostructive (cc:rpletely or in part). For these, it is

particularly difficult to distin-uish bet,,ccn instrumental variations andthose caused by chaen in c rosltion or structure of the rock because the

test crnot be reca•ctad with tl14 IddontIcal specirien (or part thereof). This

prob1c- is further cc.,plIcatcd In the co,,prIson of the results of two or

more different tests, all of which are destructive.

The usual method of recording the highest, lowest, and average readings

fails to give an adequate conception of the rock property under study. For

example, in determining the average Shore (scieroscope) hardness, one sample

may be essentially uniform with occasional stray inclusions or impurities that

account for the low and high readings. Another, with the same average hard-

ness, may be a heterogeneous mixture in which the hardness ranges gradually

from the same low to high value. It is Important to know not only the size of

the deviations from the average, but also their frequency of occurrence

(Obert, et al.) 1946).

2. 11ASURES OF CENTRAL TENIMIDCY

An average is a value which is typical or representative of a set of

data. Since such typical values tend to lie centrally within a set of data

arranged according to magnitude, averages are also called measures of central

tendency. One of the most common averages is the arithmetic mean or mean

which is denoted by the symbol R and computed as follows:

nXi + X2 + X +--"'+ X Z I1 2 3, n = i' = _U (c.!)

n ~ n n

This is the sum of all the observations in the sample divided by the number of

observations.

3. MEASURES OF DISPERSION

The degree to which numerical data tend to spread about an ave-age

value is called the variation or dispersion of the data. A commonly used

measure of dispersion is the variance.

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Vi r I Iý

a. V~r__en•.

Tho variance is the suM of the squares of do&vhtions of Indavldual

observations from the mean, divided by one less than the total number of

observations. The sariple variance, s2 is computed thus:

n(x - 2

2 in1l (C.2)n-I

The divisor is known as the number of deres of freedom In thesample, which has the same meaning in statistics as in geometry and mechanics

(Liu and Thornburn, 1965). The result obtained by use of (n-1) in the

denominator instead of (n) is said to represent a better and unbiased esti-mate of the variance of a pE.ulation from which the s.an.rf was taken. For

large values of (n), say (n) > 30, there is practically no difference between

values of s2 determined by using (n) or (n-1).

b. Standard deviation

The dispersion of the observations about the mean is usually measured

by the standard deviation., which is defined as the positive square root of the2

variance, s . It is thus denoted by the equation:

n2z (x R -)I n-i (c.3)

The standard deviation can also be calculated without first calculating thesample mean by using the equivalent equation of the form:

n 22

E72 (i- I 1STm n- I "(C.4)

The sample mean and deviations therefrom are related to the mathematicalstatistical principle of least squares in the following manner: If deviations

of the observations are measured from the sample mean, then the sum of their

squares is a minimum (i.e., the sum of the squares of the deviations of a set

of numbers, X,, from any number, a, is a minimum if and only if a R),

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c~ £nfflclcnt of vnr1ntir7,n•;•: The actuit variation as detcrmined fro-• tho standard deviation or

othcr rmeaisure of dispersion Is called the abtryýc eiffrsiOn ,1 fo n-;v ar, forthe purpose of comparing the dogree of variation within the sarnle or between

samples with respect to different propertics, it is more ronvenient to

express the standard dcviation, s, as a percentage of the mean R. This

provide; a measure of the relative dispersion, called the coefficient of

vorIatio ,, V . This coefficient is usually expressed as a percenta(l, and

is given by the equation:

(100) (c.5)

Since it Is a ratio of two quantities having the same unit ot measurement,

the coefficient of variation is independent of the units used. A disadvantage

of the coefficient of variation is that It fails to be useful when R is close

to zero, This is particularly exemplified by the initial values of Poisson's

ratio as reported in Table 4.3.

4. NORMAL DISTRIBUTION, SAPLING AND CONFIDENCE INTERVALS

a. Normal Distribution

Observations that differ by little from the mean occur more frequently

than observations which differ considerably from the mean. Experimental evi-

dence in many fields of science, in conjunction with theory, has led to a

general distribution relating the frequency of occurrence of an observation

to the amount by which it differs from the population mean. This is known as

the normal distribution and is one of the most important examples of a con-

tinuous probability distribution in statistics. The curve representing this

distribution has the physical appearance of a symmetrical bell-shape, extend-

ing infinitely far at both ends as shown in Figure C.I. The equation of the

normal curve is:

2

Y = e (C.6)

in which X = abscissa

Y = ordinate

W= 3.14159

e - 2.71Mi8

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f(x)

2.5%a of area [, c ,+I9G2.5% of area-

At- 3 2 j -2o - I• r .-A - Io t+ 2o a ++3aL. L., •' -- 68.27%/ "- ,,

95.45% ... . ...

99-73%0

FIGURE C.I CHARACTERfISTICS OF NORMAL DISTREBUTION,

yY ~

(Xt., Yn)

cY=Oa+ bX -. D,

Iu,

Vorioble X

FIGURE C.2 RELATIONSHIP BETWEEN VARIABLES X AND Y

281( . .. 2 , Y 2) I I I

Page 307: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

= mean of the distribution or population

0= standard deviation of the distribution or population

If the total area between the curve and X-axis is one (100%), then the por-

tion of the area under the curve between any two vaiues of X is completely

determined by p and o'. By integration, it is found that 68.27% of the total

area lies in the interval L + 1o' while 95.45% of the observations are in

the interval p + 20. Only 0.27% of the total frequency lie beyond ý. + 3cr.

Figure C.l also indicates that 5% of the total area lies beyond p. t 1.96a

(Liu and Thornburn, 1965).

If large samples of a specified size. n, from any distribution with

finite variance are taken and the mean values calculated, these sample means

would also form a distribution which is called sampling distribution of the

means and would approximate a normal distribution. In most experimental work

it is safe to assume a normal distribution. In a sampling disLribution of

the means, the standard deviation of the means, s., is related to the popu-

lation standard deviation, a, as follows:

s- = 0 (C-7)x ý _

This is referred to statistically as the standard error. On the basis of the

characteristics of Che sampling distributions of the means and the variances,22

it is possible to conclude that s can be used as an estimate of a-2 and A of

p. (Liu and Thornburn, 1965).

b. Sampling and confidence intervals

In order that conclusions of sampling theory and statistical inference

be valid, samples must be chosen so as to be representative of the population.

One way in which a representative sample may be obtained is by a process

called random sampling according to which each member of a population has an

equal chance of being included in the sample.

Since the sampling distribution of the means has a mean of p. and a

standard deviation of L and is normal in shape, it is possible to deter-

mine the probability that a sample mean, ý, might be found within a specified

distance of the population mean, pj based on the characteristics of the

normal curve.

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Assuming that p and or are known, the chances are 68.27 in 100 that

the sample mean, R, will be found within the distance + - fro from

Similarly, the probability is 95.45 in 100 that R will be found within

+ 20_.. This distance can be designated to cover any specified probability

as . If x is added to any of these distances, an interval is formed

which includes p at a specified probability, depending on what value is

chosen for Z. (The Z-distribution is a standard normal distribution obtained

from the equation Z = X U- .) If the probability is chosen at 95 in 100,

the Z-value will be 1.96. In other words, L will fall within the range ofS_.96 to (Z + !_&96o- This can be expressed geometrically as follows:

n-6c \r96-n

An interval is set up around R, and then the probability is 95 in 100 that

ý will be found someplace in this interval. This is called the confidence

interval. That is, there is a 95% confidence of finding the population mean,

p• within this interval.

Usually, both the population parameters ý± and a, are unknown; however,

the sample statistics R and s are know. As previously noted, R is an esti-

mate of p, and s of o. When statistics are used instead of parameters, the

confidence interval inequality is:

Sts ts (c.8)

The t-distribution is similar to a normal Z-distribution and closely

approaches it, provided that the sample size is large., Generally, t is

larger than Z for a specified probability. The t-values may be found in

most statistical texts.

The values of R + - or x + ts- are referred to statistically as

ts4-irn xconfidence limits and or ts- as the limit of accuracy. The larger the

value of s, the wider the confidence interval will be because the confidence

interval is directly proportional to the size of the standard deviation.

The shared areas in Figure C.l are each composed of 2.5% of the total

area. These are the areas of the distribution of the statistics in which a

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hypothesis will be rejected, and are known as the critical recilons or regions

of slonificnnc.. The chance of rejecting the hypothesis that p falls within

these critical regions (when In reality it does) is 5% because the critical

regions are determined by the t-value at the 95% punt. Thus, there are about

five chances in 100 that we would reject the hypothesis when it should be

accepted, I.e., we are 95% confident that we have made the right decision.

This chance Is called the level of significance and is denoted by the Greek

letter, (X . It is usually stated tOat a result is significant if the hypo-

thesis is rejected with a= .05 and hIL1 h significant if It ;s rejected with

CC- .01. These are designated conventionally as iifica-: t the % level

and sicniflcant at the 1% level respectively. It can be seen that when the

level of significance is raised, the confidence interval will be wideneJ,

because the chances of rejecting a true hypothesis are decreased (Liu and

Thornburn, 1965).

5. CURVE FITTINJG AND THE METHOD OF LEAST SQUARES

a. Cu-ve fitting

It is frequently desirable to express a relationship existing between

two (or more) variables in mathematical form by determining an equation con-

taining the variables. When a series of concomitant observations (X,. Y ),

(X2 ) Y2 )p --- (Xny Yn) is plotted on a rectangular ccc'rdinate system, the

resulting set of points is sometimes called a scatter diagram. If the data

appear to be well-approximated by a straight line, a linear relationship is

said to exist between the variables. If a curved line is a better approxi-

mation, a non-linear relationship is said to exist. The general problem of

finding equations for approximating curves which fit given sets of data is

called curve fitting.

b. The method of least squares

In order to avoid individual judgment in constructing lines, parabolas,

or other approximating curves to fit sets of data, it is necessary to agree

on a definition of a "%est-fitting line," %est-fitting parabola," et cetera.

Figure C.2 shows a scatter diagram obtained from a series of observations.

For a given value of X, say XI, there is a difference between the value Y

and the corresponding value as determined from the "curve" or line C. As

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Page 310: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

indicated in the figure, this difference is denoted by D1, which is referred

to as a deviation, error, or residual and may be positive, negative, or zero,

Similarly, corresponding to the valucs X2, -----. XnW we obtain D2 P -----.. D n

Of all curves approximating a given set of data points, the curve having the

property that D2 is a minimum, is called a best-fitrii!'pro ert tha nI .9 .. .. +

curve. A curve having this property is said to fit the data in the lcast-

square sense and is called a least-square curve. Thus, the line C in Figure

C.2, is a least-square line if it has this property.

The above definition applies when X is the independent variable, and

Y the dependent variable. If X is dependent, the definition is modified by

considering horizontal instead of vertical deviations, which amounts to an

interchange of the X and Y axes. These two definitions, in general, lead to

different least-square lines. Thus. when these two lines approach coincidence,

there is an indication that the data are very well described by a linear

relationship.

Non-linear relationships can usually be reduced to linear relation-

ships by appropriate transformation of variables, such as logarithmic func-

tions. In such cases, the same methods for curve fitting may be applied as

used for the linear relationships.

6. CORRELATION AND REGRESSION

The degree of relationship between variables, or correlation, seeks

to determine how well a linear or other equation describes the relationship.

If all values of the variables satisfy an equation exactly, we say that the

variables are perfectly correlated, or that there is a perfect correlation

between them.

On the basis of sample data, we can estimate the value of a variable

Y. corresponding to a given value of a variable X, from a least-square line

(or curve) which fits the sample data. The resulting line is called a

regression line of Y on X, since Y is estimated from X. Conversely, the

value of X may be estimated from the regression line of X on Y in which case

X is the dependent and Y the independent variable. In general, the regres-

sion line or curve of Y on X is not the same as the regression line or curve

of X on Y. When only two variables are involved, we are concerned with

285

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s•m~pe corrcinticn and slr.ile rcqression. ý-lcn more tt;3n two vzric-bles are

involvcd, v:e are concerned with mult.olel correlation and ri-ult ipe rcfiressi.n.

a. _I.nenr correlation

If all points in a scatter diDorzrn eppcar to lie near a line, as In

Figure C.2, the correlation is called line,. If Y tends to increase as X

Increases, the correlation is a p2ositive or a direct crrrelot~on. If Y tends

to decrease as X increases,, the correlation is a nef tijv, or an inverse

correlation. If there is no relationship indicated between the variables,

they are uncorrelated. The correlation is non-linear if all points appear

to lie near some curve.

b. Least-souare reqression

The least-square regression line of Y on X has the equation:

Y V a + bX (C.9)

In which Y = dependent variable

X - independent variable

a - Y-intercept of regression line

b - slope of regression line, also

called the coefficient of recression

By means of the calculus, the so-called normal equations are obtained,

and expressed as follows:

-Y - an + b •X (C.0O)_XXY = a Z( + b ZX2

These two equations are solved simultaneously to obtain a and b:

a =EY (ZY)(x ) - (ax)(EXy)nX2 _ ( X) 2

(c.ll)b nZXY - (X) (ZY)

nZX2 (DO 2

The regression line of X on Y is similarly obtained. However, the

resulting least-square line is, in general, not the same as noted previously.

The two least-square regression lines thus obtained both pass

through the point (R,), which is the centroid or center of gravity of the

data. These regression equations are identical only if all points of the

286

Page 312: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

scatter diagram lie on a line. In ;uch case there Is a •rfeet corrnlation

between X and Y (Spiegel, 1961).

c. Crenfficient of correlation

A correlation coefficient is a mnasure of Intensity of association or

relationship betw•een variables. A regression coefficient describes the chansc

in the dependent variable as a result of chnnging the Independent variable.

Unlike a variance or a regression coefficient, the correlrtion coefficient is

independent of the units of measurement; it is an absolute or dimensionless

quantity. The use of X and Y is no longer intended to Imply an Independent

and a dependent variable.

The total variation of Y is defined as T(Y-9) 2 i.e., the sum of the

squares of the deviations of the values of Y from the mean 9. This can be

written by the equation:-(y.9)2 = (yY-Yest.)2 + gYest. 2 (C.12)

in which Yest. = value of Y for given values of X as estimated from (C.9)

)2Z(YY est.) = unexplained variation

Z(est.-) xlie

~ ~ =explinedvariation

The deviations Yest.- have a definite pattern while the deviations Y-Yest.

behave in an unpredictable manner.

The ratio of the explained variation to the total variation is called2

the coefficient of determination denoted by r 2 hence is always positive.

The square root of the coefficient of determination is called the coefficient

of correlation) r, which is given by:

explained variation g* est. - (c.13)total variation Z(Y. )2

The quantity, r, varies between -1 and +1, which are the values for a per-

fect correlation. The signs + denote positive or negative linear correlation,

respectively. The practical range of r varies with opinion from one field of

research to another. In some studies. investigators will look upon r - 0.90

as small, while in others r = 0.20 may be considered as unusually large.

287

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As previously indicated, no relation:hip Is perfect; therefore, the

actual values will not coincido vlith the theoretical values estimrted from

the regresslcn )in--. If the scatter Is definitely measured, the variation

is datermined and a ranoe is estebl ished within which a given percentage of

values will fall The standard crror of nsti"rnt s is a mneasure of they.X'

scatter about the regression line of Y on X and is given by the equation:

i ~Yess 'Y stZ(C.14)y.x 2

Similarly, the standard error of estimate of X on Y is obtained by inter-

changing Y with X in this equation.

The standard error of estimate has properties analogous to those of

the standard deviation. If lines are constructed parallel to the regression

line of Y on X at respective vertical distances + syx , 2s yxand 3

from it, approximately 680%, 95% and 99.7% of the sanmple points would be

included between thesc lines.

e, Confidence limits

An unbiased estimate of the true variance about regression is given

by the residual mean square with n-2 degrees of freedom. It is defined by

the square of equation (C.14) as follows:

2 Z(Y-Yest.) 2

yx = n - 2

Figure C.3 shows that a single standard deviation of Y for a fixed

X (i.e., standard error of estimate) does not apply to all Yest. 's but must

depend upon the X-value that determines the Y-population. For a fixed set

of X-values, R is a constant, while - and b are variables. Variation in

raises or lowers the regression line parallel to itself (thus increasing or

decreasing all estimates of means by a fixed valun). Variation in b rotates

the regression line about the point .y,, but has no effect upon th-. estimate

of the mean if X=R. Otherwise, it increases the estimate of the mean in

proportion to the size of (X-R). This is readily seen from the equation

that estimates the population mean, Y est. + b(X-R).

288

Page 314: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

Y

Y '0 + bX

Effect of voriaoion

in olone

"Effect of voriation ir. b olone

A -- Confidence Belt

x

FIGURE C.3 EFFECT OF SAMPLING VARIATION ONREGRESSION ESTIMATES OF POPULATIONMEANS (After Stool Q Torrie, 1960)

289

Page 315: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

A stan d,,rd ,:ýviatIon I I ic, le to an cs tImn.te of a n:n m.ust a I Iofor variation in both 9 and b0 and foi- thc distr.,c-3 (X-R). The variance of

l I 0,2 S2

is an estimate of .. . namely yj . An estirmte of the variance of b isn n

gqven by the equation:

22 s2 .• b.(c.16)

The required variance of an estimate, Y est b(X-R), of a population mean

is given by the sum of the variances of 9 and b(X-R) as follows:

2 2Sy.x _ i (C.17)

This variance increases as (X-;) increases. If t times the standard deviation

were plotted in conjunction with the regression line, the confidence belt

shown in Figure C.3 would be formed.

To set a confidence interval on the estimate of the mean, the variance

in equation (C.17) is added to the regression equation. The 95% confidence

limits are then defined as follows:

CL(Y~ +÷(-):tt s+ _ (C.18)est. 05 y.x Fn _(XR))2

where t is for n-2 degrees of freedom.

If a prediction is to be made, it is usually a prediction of individual

events rather than for the population. Thus, the random element is an addi-

tional source of uncertainty and equation (C.18) is modified as follows:

CL(Y) - + b(X-R) t. t.05 Sy.x It (C.19)

Using this procedure, a confidence belt for Y may be plotted which is some-

what broader than that defined by (C.18). In general, about 5% of the

sample points are expected to fall outside the belt given by (C.19).,

(Snedecor, 1956).

290

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tlerican Geological Institute, (W2), f and Rýi atcdSclenc a,, The Anarican Geological Institute, Wshington, D. C.

American Society for Testing and Materials, (lc9C), "Resistance to Abrasionof Small Size Coarse Aggregate by use of the Los An-nles Machine"Tentative Mothod ASTIM- Designation: C 131-6?4TO tEi: StandaresJ part 10,p. eo.

American Society for Testing and Vi3terials, (KSIc), 'VArasion Resistance ofConcrete" Tentative Method A[.Zfl Designation: C 418-VkT, ASi Standards,part 10, p. 309.

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American Society for Testing and Materials, (1964), '71esistance to Abrasionof Large Size Coarse Aggregate by use of the Los Angeles Machine,"Tentative Method ASTM Designation: C 535-64T. ASTH Standards, part 10,p. 361.

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American Society for Testing and Materials, (1965), "Conpressive Strength ofNatural Building Stone," Standard Method ASTM Designation: C 170-50,ASTM Standards part 12, p. 144.

291

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Deere, D. U., (1963b), "Technical Description of Rock Cores for EngineeringPurposes," Felsmechanik und Ingenieurgeologie/Rock Mechanics and Engi-neering Geology, Journal of the International Society of Rock Mechanics,Vol. I, No. 1, p. 16.

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Fairhurst, C. (1961b), "Laboratory Meas:urement of Some Physical Propertiesof Rock,' Proceedinqs of the Fourth Symposium on Rock Mechanics,Bulletin of the Mir.nral Industries Experiment Station, PennsylvaniaState University, p. 105.

Gilbert, B. W., (1954), Shore Scleroscope Hardness Tests Made on Mohs' ScaleMinerals from Talc to Quartz, Inclusive, Department of Mining andMetallurgical Engineering, University of Illinois.

Greaves, R. H., (1909), "The Physical Interpretation of Hardness as Measuredby the Shore Scleroscope," Proceedings Institute of Civil Engineering,

London, Vol. 181, p. 478.

293

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Gregory, A. R., (1963), "Shear Wave Velocity Measurements of Sedimentary RockSamples under Compression," Proceedings of the Fifth Symposium on RockMechanics The Macmillan Company, New York, p. 439.

Griffith, J. H., (1937), Physical Properties of Typical American Rocks,- IowaEngineering Experiment Station Bulletin 131.

Grout, F. F., (1940), Kemp's Handbook of Rocks, D. Van Nostrand Company,Inc., New York.

Gyss, E. E., and Davis, H. E., (1927), '"The Hardness and Toughness of Rocks,"Mining and Metallurgy' Vol. 8, p. 261.

Hamrol, A., (1961), "A Quantitative Classification of the Weathering andWeatherability of Rocks," Proceedings of the Fifth International Con-ference on Soil Mechanics and Foundation Engineering, Paris, Vol. II,p. 771.

Hardy, H. R., Jr., (1959), Standardized Procedures for the Determination ofthe Physical Properties of Mine Rock under Short-Period Uniaxial Com-pression Department of Mines and Technology Surveys, Ottawa, Canada,Mines Branch Technical Bulletin TB 8.

Harley, G. T., (1926), "Proposed Ground Classification for Mining Purposes--I and II." Engineering and Mining ournal Vol. 122, No. 10 and 11,pp. 368 and 413.

Hartman, H. L., (1959), "Basic Studies of Percussion Drilling," MiningEngineering. Vol. 11 p. 6 8 .

Harvey, R. D., (1963), Impact Resistance of Illinois Limestones and Dolomites,Illinois State Geological Survey Circular 345.

Head, A. L Jr (1951),. "A Drillability Classification of GeologicalFormations., World Oil, October, p. 125.

Huang, W. T., (1962), Petrology McGraw-Hill Book Company, Inc., New York.

Hucka, V., (1965),"' Rapid Method of Determining the Strength of Rocks InSi*u," International Journal of Rock Mechanics and Mining Sciences,Vol. 2, No. 2, p. 127.

Ide, J. M., (1936), "Comparison of Statically and Dynamically DeterminedYoung's Modulus of Rocks," Proceedings of the National Academy ofScience Vol. 22, No. 2, p. 81.

Jackson, F. H., (1916), Methods for the Determination of the PhysicalProperties of Road-Building R3.L,, U. S. Department of Agriculture,Department Bulletin 347.

Jaeger, J. C., (1962), Elasticity, Fracture and Flow, John Wiley & Sons,Inc., New York.

294

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Jastrzebski, Z. D., (1959), Nature and Properties of Engineering Materials,John Wiley & Sons, Inc., New York.

John, K. W., (1962), "An Approach to Rock Mechanics," Journal of the SoilMechanics and Foundations Division, Proceedings of the American Societyof Civil Engineers, Vol. 88, r SM4, Part 1, p. 1.

Judd, W. R., and Huber, C.;, (1961), "Correlation of Rock Properties byStatistical Methods," International Symposium on Mining Research,Rolla, Missouri, February.

Kapadia, A. H., (1951), Correlation of Scleroscope Hardness with Physicaland Elastic Properties of Rock, M. S. Thesis, Colorado School of Pines,

King, R. F., and Tabor, D., (1954), 'The Strength Properties and FrictionalBehavior of Brittle Solids," Proceedings Royal Society Ser. A, 223,p. 225.

Klapka, K. J., (1948), "Drilling with Industrial Diamonds," World Oil,October, p. 101.

Knill, J. L., and Jones, K. S., (1965), 'The Recording and Interpretationof Geological Conditions in the Foundations of the Roseires, Kariba,and Latiyan Dams," Geotechnguee, Vol. XV, No. 1, p. 94.

Knoop, F., Peters, C. G., and Emerson, W. B., (1939), "A Sensitive Pyramidal-Diamond Tool for Indentation Measurements," RP 1220, Journal of Researchof the National Bureau of Standards, Vol. 23, No. I, p. 39.

Kolsky, H., (1963), Stress Waves in Solids, Dover Publications, Inc., NewYork.

Kraatz, P., (1964), Rockwell Hardness as an Index Property of RocksM. S. Thesis, University of Illinois.

Krynine, D. P., anl Judd, W. R., (1957), Principles of Engineering Geology.

and Geotechnics McGraw-Hill Book Company, Inc., New York.

Lea, F. C., (1936), Hardness of Metals, Charles Griffin & Co., Ltd., London.

Liu., T. K., and Thornburn, T. H., (1965), Engineering Index Properties ofSome Surficial Soils in Illinois, University of Illinois EngineeringExperiment Station Bulletin 477.

Mahin, E. G., and Foss, G. J., (1939), "Absolute Hardness," Trans. AmericanSociety for Metals, Vol. 27, p. 337.

Mather, W. B., (1951), '"ock Hardness as a Factor in Drilling Problems,"'Trans. AIME, Vol. 190, p. 173.

McCarthy, J. H., (1964), Elec.tronic Methods for Determining Young's Modulusand Poisson's Ratio of Portland Cement Technical Report R 295,U. S. Naval Civil Engineering Laboratory, Port Hueneme, California.

295

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McCray, A. W., (1948) "Diamond Coring of Chert, Limestone and Dolonite ofWest Texs Permian Basin," Petroleum Vol. 19, No. 6, p. 76.

Mielenz, R. C., (1961) Ind FnninP, ,rinnr Pro-certies of ,, , !ýousRocs• U. S. Department of the Xnterior, Bureau of Reclamation, Denver,Engineering Monographs, No. 1.

Rohs, F., (1824), Grundriss dpr Min-ranloqi, English translation by W.Haidinger, (12), Tratse on iineralo_gy Constable and Co., Ltd.,Edinburgh.

Nicholis, H. R.) (1961), In Situ Determination of thej Oniic Elastic Con-stants ofRock, U. S. Bureau of hines R. I. 5b88.

Obert, L., Windes, S. L., and Duvall, W. 1., (1946), Standardized Tests forDetermiinin the. Physical Properties of Mine Rock, U. S. Bureau ofMines, R. I. 3891.

Onodera, T. F., (1963), "Dynamic Investigation of Foundation Rocks In Situ,"Proceedings of the Fifth Symposium on Rock Mechanics, The MacmillanCompany, New York, p. 517.

Panama Canal Company, (1947), Isthmian Canal Studies Memo 210, Departmentof Operation and Maintenance, Special Engineering Division, April.

Panama Canal Company, (1959), Geologqcal Logs of Drill Holes for Constructionof Balboa Bridge, Substructure, Canal Zone, Balboa Heights, April.

Peck, R. B., Hanson, W. E., and Thornburn, T. H., (1953), FoundationEngineering, John Wiley & Sons, Inc., New York.

Pennington, J. V., (1954), '"ock Failure in Percussion," The PetroleumEngineer, May, p. B-76.

Pomeroy, C. D., (1957), ;A Simple Method for the Assessment of Coal Strength,'Journal of the Institute of Fuels, February, p. 50.

Protodyakonov, M. MI, (1960), "New Methods of Determining Mechanical Proper-ties of Rocks," Proceedings Third International Conference on StrataControl, Paris, p. 187.

Protodyakonov, M. M., (1963), '4echanical Properties and Drillability ofRocks," Proceedings of the Fifth Symposium on Rock Mechanics, TheMacmillan Company, New York, p. 103.

Reich, H., (1930), 'Geoligische Unterlagen der Angewandten Geophysik,"Handbuch der Experimentalphysik, Vol. 25, part 3.

Reichmuth, D. R., (1963), "Correlations of Force-Displacemern Data withPhysical Properties of Rock for Percussive Drilling Systems,"Proceedings of the Fifth Symposium on Rock Mechanics, The MacmillanCompany, New York, p. 33.

296

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Richards, C. W., (1961), .n n tfrlals SctEnr, Wadsworth PublishingCompany, Inc., Belmont, California.

Ridgway, R. R., Ballard) A. H., and Bailey, B. L., (1933), '"-lardness Valuesfor Electrochcmical ProduIcts "Trans The Electrochemical Society,Vol. 63, p. 369.

Rinehart, J. S., Fortin, J. P., and Burgin, 1., (191), 'ropaqation Velocityof Longitudinal Waves in Rocks" ........... of the Fourthly.Rock Hechanics Bulletin of the Mineral Industries Experiment Station,Pennsylvania State University, p. 119.

Rocha, M., (1964), "Hechanical Behaviour of Rock Foundations in ConcreteDams " qi International Conference on Lar.• Dams Edinburgh, R. 44,Q. 26) p. 785.

Rollow, A, G., (1963), "Estimating Drillability in the Laboratory," Proceed-Ings of the Fifth Symposium on Rock Mechanics The Macmillan Company,New York, p. 93.

Roxborough F. F., and Whittaker, B. N., (1964), "Roof Control and Coal Hard-ness,' Colliery Engineeringý December, p. 511.

Roxborough. F. F., and Whittaker, B. N., (1965), "Roof Control and Coal Hard-ness, Colliery Engineerinq, January, p. 19.

Scott, F. L., (1946), '"ard-Rock Rotary Drilling," The Oil and Gas Journal.October, p. 74.

Seely, F. B., and Smith, J. 0., (1956), Resistance of Materials. John Wiley& Sons, Inc., New York.

Seely, F. B., and Smith, J. 0., (1959), Advanced Mechanics of Materials,John Wiley & Sons, Inc., New York.

Shepherd, R., (1950), 'Vhysical Properties and Drillability of Mine Rock,"Colliery Engineering, December, p. 48.

Shepherd, R., (1951), '"hysical Properties and Drillability of Mine Rock,"Colliery Engineering. January, p. 28, February, p. 61, March, p. 121.

Shepherd, R., (1953), '"rillability of Rock in Rotary Drilling," Manual ofRock Blasting, AB Atlas Diesel, Stockholm.

Singh) M. M., and Hartman, H , L., (1961), 'ýHypothesis for the Mechanism ofRock Failure Under Impact," Proceedings of the Fourth Symposium on RockMechanics, Bulletin of the Mineral Industries Experiment Station,Pennsylvania State University, p. 221.

Snedecor, G. W., (1956), Statistical Methods, The Iowa State UniversityPress., Ames, Iowa.

Sosman, R. B., (1927), Properties of Silica, American Chemical Society,Monograph No. 37, Chemical Catalog Co., Inc., New York.

297

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Spiegel, M. R., (1961), •'.or and of Sttistics, Schaum PublishingCo-pzny, .w York.

Spock• 1. E., (1953)., Givf:,' to thn Study.v of P.cr... 1. irper F. Brothers,PublishKrs, ljzw York.

Statistiral Sarvice Unit, (1.4), ....... lorrr

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Stokes,• I. L., and Varnes, D. J., (1955), 'Vlossary of Selected GeologicTerms, Colorado Scientific Society Procedinn,, Vol. 16, Denver.

Sutherland, R. B., (1963)., "Some Dynamic and Static Properties of Rock,"Proccedin s of the Fifth Symnosium on Rock ltlechanics The Macmillan

Company, New York, p. 473.

Tabor, D., (1947), "A Simple Theory of Static and Dynamic Hardness," Proceed-ings Roya] Society of London Ser. A., Vol. 192, p. 247.

Tabor, D., (1951)0, The H3rdness of Metals, Oxford at the Clarendon Press.

Tabor, D., (1954), '14ohs' Hardness Scale -- A Physical Interpretation,,"Proceedinqs Physical Society of London, Sect. B: Vol. 67, p. 249.

Tabor., D., (1956), '"he Physical Meaning of Indentation and Scratch Hard-ness;, British Journal of Applied Physics. Vol. 7, P. 159.

Talobre, J., (1957), La Mecanique des Roches, Dunod, Paris.

Terzaghi, K.J (1946), '"ock Defects and Loads on Tunnel Supports," SectionI, Rock Tunneling with Steel Supports, The Commercial Shearing &Stamping Co., Youngstown, Ohio.

Terzaghi, K.Y and Peck, R. B.: (1948), Soil Mechanics in Engineering Practice,John Wiley & Sons, New York.

Tocher, D., (1957), "Anisotropy in Rocks Under Simple Compression," Trans.American Geophysical Union, Vol. 38, No. 1, p. 89.

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U. S. Army Corps of Engineers, (1961), '"resenting Subsurface Information inContract Plans and Specifications," Engineering and Design Manual, EM1110-1-1806, 24 January.

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298

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U. S. Bureau of Reclamation, (15w, Effcct of Cr's In rnc-.rete U!'rqtPyniaMijc J131SU rcm--,ýnts of E Invýt I Vý)rl I (sU Llujcau of Rac~cm.-tionMaterials Lab. Rcport N(o. C-3•3, kesearch and Geology Division.

U. S. Cureau of Reclamation, (1953), hysic .r rtis of Sogm aTypicalFoundation Rocks U. S. Bureau of Recla;ý)ttion Concrete Lab tPR'ortNo. SP-39.

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Walsh, J. B., (1965), "The Effect of Cracks on the Uniaxial Elastic Cor,,,pres-sion of Rocks," Journal of Geophysical Research Vol. 70 No. 2, p. 399.

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Wolansky, D., (1949), "Zur Frage der Harteprufung der Karbongesteine nachdem Ruckprallverfahren," GIUctjaui, Vol. 85, January.

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299

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Zis�nW. A,, (19,13), "Cr•-•parlson of th2 Statically and SeismologicallyDetorrmined Elastic Constants of Rocks • r of t ...........

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300

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Unclarsi f led

10 t(;INATIN 20 ACTII'IIV (C Cjofu v Patno) P2*. I'lr@ T SECUPITY C LAZSIlCATION

University of Illinois UnclassIfledDepartment of Civil Engineering 2 b "•nupIUrbana, Illinois _

3 nrPORlT TITLE

ENGINEERING CLASSIFICATION AND INDEX PIROPERTIES FOR INTACT ROCK

1 February 1964 through I April 19665 AUTHO 4 (S) (Levi ncaln, 1ItW rmt•, Iinitial)

Deere, D. U.; Miller, R. P.

6. RZPORT DATE )7a. OAG'S 7b. NO. o0 Rt

December 1966 3241 1408S CONTRACT Oft GRANT NO. SM. OnIGINATORVP REPORT NUtMDEP(S)

AF29(601)-6319b. PnROJEC NO. 5710 AFWL-TR-65-116

c.Subtask 13.144 3b. o THýIF R5PORT NCo ) (Any othr numbadint may be av.i&ied

d

10 AVA ILADILITY/LIMITATION NOTICES

Distribution of this document is unlimited.

I1. SUPPL. EV.NTARf NOTZI 12. SPONdSORINJG MILITARY ACTIVITY

Air Force Weapons Laboratory (WILDC)Kirtland Air Force Base, New Mexico 87117

13 ABSTRACT

Physical and elastic properties of NX-size rock core from 27 localities wereinvestigated in order to develop an engineering classification 6ystem for intactrock, and also to develop index properties related to important physical andengineering characteristics. Thirteen rock types are represented. Laboratorytests were conducted on these rocks as follows: 'unit weight, Shore scleroscopehardness, Schmidt hammer hardness, abrasion hardness, absorption, sonic-velocitystress-strain under cyclic loading to 5,000 psi, uniaxial stress-strain tofailure, and point-load tensile strength. A total of 257 specimens with L/Dratios of 2:1 were tested. Statistical studies were conducted with the IBM 7094computer to determine correlation and regression relationships for selected pairsof variables. A system of engineering classification is proposed in which rocksare classified on the basis of their strength and modulus properties eitherobtained directly from laboratory tests, or approximately from index propertiesrecommended herein. Application of the proposed engineering classificationsystem to data obtained by others is shown by individual charts for each ofseveral different rock types. Five charts are presented for estimating thestrength or modulus properties for intact rock from the numerical indices ob-tained by either t*-: Schmidt hammer, the Shore scleroscope, or the sonic pulsevelocity, all usc? 1 n conjunction with the unit weight of the rock.

1 Rm. I rAsDD I JAN 64 UnclassifiedSecurity Classification

' , , I I I I I I- I I I II I I I I i I

Page 327: Deer, D.U., Miller, R.P., 1966, Engineering Classification and Index

-irsei cfI.d----------i::;e~

LINK A LINK 0 INKEYL j WT ROL Wi' P~oL.W

Rock Mahrvl-icreIntact Rok CoresVarious Rock TypesEngineering Classification SystemIndex ProperticsElastic Properti~esPhysical PropertiesStaltic TestsDynamic Tests

* StrengthDefornnt ionStatistical Analysis

INSTRUCTIONS1. ORIGINATING ACTIVITY: Enter the name and address imposed by security classificatior, using standard statemof the contractor, tubcontrrctor, grantee, Departmnent of Dc- such as:fense activity or other organization (corporate author) issuing (I) "Qualifitd requesters may obtain copies of thisthe report. report from DDC."

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