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STRUCTURAL STRESS GRADING OF SELECTED SARAWAK TIMBER USING
NON-DESTRUCTIVE TESTS
ALIK ANAK DUJU
DOCTOR OF PHILOSOPHY UNIVERSITI SAINS MALAYSIA
2009
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STRUCTURAL STRESS GRADING OF SELECTED SARAWAK TIMBER USING NON-DESTRUCTIVE TESTS
by
ALIK ANAK DUJU
Thesis submitted in fulfilment of the requirements for the degree of
Doctor of Philosophy
May 2009
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ACKNOWLEDGEMENTS
I wish to express my sincere gratitude and appreciation to my supervisors
Associate Professor Dr. Badorul Hisham Abu Bakar and Senior Lecturer Dr. Megat
Azmi Megat Johari of School of Civil Engineering, Engineering Campus, Universiti
Sains Malaysia (USM), Pulau Pinang, Malaysia for their invaluable guidance,
suggestions and constructive criticisms that lead to the completion of the research
project for Doctor of Philosophy (PhD).
Sincere thanks are due to the Managing Director/Chief Executive Officer of
Sarawak Forestry Corporation Sdn. Bhd. (SFCSB), Datu Haji Len Talif Salleh, General
Manager of Applied Forest Science and Industry Development (AFSID), SFCSB, Mr.
Nigel Lim Poon Teck and Senior Assistant Director (Research and Development) of
Forest Department, Sarawak, Tuan Haji Abang Mohamad Moktar Abang Pawozan for
giving me the opportunity to use the research equipment and testing facilities.
Acknowledgements are due to Dr. Takashi Nakai, ex-JICA Team Leader, Dr.
Naohiro Kuroda, Dr. Toshinari Tanaka and Dr. Hirofumi Nagao of Forestry and Forest
Products Research Institute (FFPRI), Tsukuba, Japan, Professor Dr. Mohd. Hamami
Sahri and Associate Professor Dr. Paridah Md. Tahir of Faculty of Forestry, Universiti
Putra Malaysia (UPM), Serdang, Associate Professor Dr. Mohd. Ariff Jamaludin of
Faculty of Applied Science, Universiti Teknologi Mara (UiTM), Shah Alam, Associate
Professor Dr. Taksiah Abdul Majid and Lecturer Dr. J. Jayaprakash of School of Civil
Engineering, Engineering Campus, SM and Manager Mr. Kandau Jenang, of Testing and
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Consultancies, AFSID, SFCSB, for their comments and suggestions on the write-up of
this thesis.
Thank you very much goes to the staff of Basic Wood Study of Forest Products
of SFCSB particularly Development Executive Mr. Andrew Nyorik Nibu, Laboratory
Technicians namely, Mr. Nungah Liang, and Mrs. Yeo Hui Choo for assisting in the
preparation and testing of timber samples. Thanks also to Development Executive Mr.
Lai Jiew Kok on assisting in the analysis of data using SPSS and Laboratory Technician
Mr. Tan Jui Liah for his assistance in providing the data on drying of timber species. To
all the staff of Wood Anatomy Section especially to Development Executive Mr. Yang
Min Chin, Laboratory Technicians viz., Mr. Voon Shin Lee and Mr. Charles Diyom for
assisting in identification of timber species are very much appreciated. Once again, I
would like to express my profound thanks to all of them.
Finally, I like to convey my very special gratitude to my beloved wife, Dumang
Dullah, my son Lawrence Insol who is currently pursuing his Bachelor of Science
Degree in Timber Technology at UPM, daughters Delphanie Lonnie and Valarie Ching
for their patience, love and encouragement. To my beloved mother Noi Insol, brother
Ujoh Duju, sisters viz., Urie Duju, Gansau Duju, Tanai Duju, Choawan Duju and Runtie
Duju, brother in-laws, sister in-laws, friends and colleagues for their encouragement,
concern and moral support throughout the course of this study.
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TABLE OF CONTENTS
Page
Acknowledgments ii
Table of Contents iv
List of Tables x
List of Figures xi
List of Plates xix
List of Abbreviations xxi
Abstrak xxiii
Abstract xxiv
CHAPTER 1 - INTRODUCTION 1
1.1 Background 1
1.2 Problem Statement 5
1.3 Objectives of Study 6
1.4 Scope of Works 6
1.5 Outline of the Thesis 7
CHAPTER 2 - LITERATURE REVIEW 11
2.1 Forestry of Sarawak 11
2.2 Forest Industry Sector of Sarawak 15
2.3 Utilization of Timber in Construction 18
2.4 Properties of Selected Timber Species 21
2.4.1 Selangan batu bukit (Shorea foxworthyi) 22
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2.4.2 Menggris (Koompassia malaccensis) 23
2.4.3 Penyau (Upuna borneensis)
24
2.4.4 Kapur paya (Dryobalanops rappa)
25
2.4.5 Alan batu (Shorea albida) 27
2.4.6 Jongkong (Dactyloclados stenostachys) 28
2.4.7 Geronggang (Cratoxylum arborescens) 29
2.5 Grading of Timber 31
2.5.1 Visual Grading of Timber 34
2.5.2 Mechanical Grading of Timber 36
2.5.3 Limitations of Timber Grading 37
2.5.4 Grade Stresses of Timber 39
2.6 Destructive Evaluation of Timber 40
2.7 Non-Destructive Evaluation of Timber 41
2.7.1 Frequency Vibration Method 43
2.7.2 Bending Deflection Method 44
2.7.3 Penetration Depth of Pin Method 45
2.8 Strength Properties 45
2.8.1 Timber Species 46
2.8.2 Density 48
2.8.3 Moisture Content 50
2.8.4 Wood Defects 51
2.8.4.1 Knots 51
2.8.4.2 Sloping Grain 53
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2.8.4.3 Other Factors 55
2.9 Summary 57
CHAPTER 3 - MATERIALS AND TEST METHODS 58
3.1 Introduction 58
3.2 Materials 58
3.2.1 Sampling of Timber Samples 59
3.2.2 Preparation of Timber Samples 63
3.2.3 Seasoning and Conditioning of Timber Samples 63
3.3 Test Methods 65
3.3.1 Non-Destructive Testing 65
3.3.1.1 Longitudinal Vibration Frequency Method
65
3.3.1.2 Dead Weights Loading Method
67
3.3.2 Destructive Testing 69
3.3.2.1 Static Bending Test for Full Size Structural Samples
69
3.3.2.2 Static Bending Test for Small Clear Specimens
71
3.3.2.3 Compression Parallel to Grain for Small Clear Specimens
72
3.3.2.4 Pilodyn Penetration Depth 73
3.3.3 Physical Properties 74
3.3.3.1 Moisture Content Determination 74
3.3.3.2 Density Determination 75
3.2.3.3 Grain Angle Determination 76
3.3.3.4 Knot Size Ratio Determination 77
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3.3.4 Statistical Analysis
77
3.4
Summary 78
CHAPTER 4 - RESULTS AND DISCUSSION 79
4.1 Introduction 79
4.2 Physical and Mechanical Properties of Structural Timber 80
4.2.1 Moduli of Elasticity of Structural Timber 82
4.2.2 Bending Strength of Structural Timber 85
4.2.3 Air-Dried Density of Structural Timber 87
4.2.4 Moisture Content of Structural Timber 88
4.2.5 Strength Properties of Small Clear Specimens 90
4.2.6 Compressive Strength Parallel to Grain for Small Clear Specimens
92
4.3 Results of Visual Parameters and Pilodyn Penetration of Structural Timber
93
4.4 Comparison of Grade Stresses of Strength Properties of Timber 95
4.4.1 Comparison of Grade Stresses of Moduli of Elasticity and Timber Species
96
4.4.2 Comparison of Grade Stresses of Bending Strength of Timber Species
99
4.5 Rupture Pattern of Static Bending Test of Structural Timber 102
4.6 Summary 105
CHAPTER 5 – RELATIONSHIP OF NDT WITH OTHER PARAMETERS
106
5.1 Introduction 106
5.2 Relationship between Strength Properties of Structural Timber 106
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5.2.1 Relationship between Moduli of Elasticity of Heavy Hardwood
107
5.2.2 Relationship between Moduli of Elasticity and Bending Strength of Heavy Hardwood
113
5.2.3 Relationship between Moduli of Elasticity of Medium Hardwood
117
5.2.4 Relationship between Moduli of Elasticity and Bending Strength of Medium Hardwood
123
5.2.5 Relationship between Moduli of Elasticity of Light Hardwood
127
5.2.6 Relationship between Moduli of Elasticity and Bending Strength of Light Hardwood
134
5.2.7 Relationship between Moduli of Elasticity of Timber Species
138
5.2.8 Relationship between Moduli of Elasticity and Bending Strength of Timber Species
145
5.2.9 Effect of Visual Parameter and Strength Properties of Timber Species
151
5.3 Effect of Density on Strength Properties of Structural Timber 154
5.3.1 Relationship between Density with Strength Properties of Heavy Hardwood
155
5.3.2 Relationship between Density with Strength Properties of Medium Hardwood
159
5.3.3 Relationship between Density with Strength Properties Light Hardwood
164
5.3.4 Relationship between Density with Strength Properties of Timber Species
168
5.4 Relationship between Pilodyn Penetration with Density and Strength Properties of Structural Timber
174
5.4.1 Relationship between Pilodyn Penetration with Density and Strength Properties of Heavy Hardwood
175
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5.4.2 Relationship between Pilodyn Penetration with Density and Strength Properties of Medium Hardwood
178
5.4.3 Relationship between Pilodyn Penetration with Density and Strength Properties of Light Hardwood
180
5.4.4 Relationship between Pilodyn Penetration with Density and Strength Properties of Timber Species
183
5.5 Relationship between Small Clear and Structural Size Samples 186
5.6 Effect of Length/Height and Modulus of Elasticity (Efrl/Etru) Ratio of Timber Species
189
5.7 Summary 191
CHAPTER 6 - CONCLUSIONS AND RECOMMENDATIONS 193
6.1 Conclusions 193
6.2 Recommendations 196
REFERENCES 200
APPENDICES 211
PUBLICATION LIST 266
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LIST OF TABLES
Page
Table 2.1 Timber species found in different forest types
13
Table 2.2 Number and types of timber mills in Sarawak
17
Table 2.3 Non-destructive tests methodologies for wood products in North America
42
Table 2.4 Strength properties of non-dipterocarp timbers of Sarawak 47
Table 3.1 Local name and botanical name of timber species
59
Table 4.1 Main test results of strength properties of timber species
81
Table 4.2 Number of days to achieve air-dried condition of timber species
90
Table 4.3 Test results of visual parameters and pilodyn penetration
95
Table 4.4 Comparison of grade stresses in moduli of elasticity of structural and small clear specimens
98
Table 4.5 Comparison of grade stresses in static bending strength of structural and small clear specimens
100
Table 4.6 Strength ratio of almost defect free structural and small clear specimens
101
Table 5.1 Coefficient of correlation between moduli of elasticity of heavy hardwood
108
Table 5.2 Coefficient of correlation between moduli of elasticity of medium hardwood
118
Table 5.3 Coefficient of correlation between moduli of elasticity of light hardwood
129
Table 5.4 Coefficient of correlation between moduli of elasticity of timber species
140
Table 5.5 Correlation of coefficient between visual parameters and strength properties
153
Table 5.6 Number of samples with different timber span 190
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LIST OF FIGURES
Page
Figure 2.1 Derivation grade stresses from strength properties of small clear specimens
40
Figure 2.2 Relationship between air-dried density and modulus of rupture of Kapur species (Alik, 2002)
49
Figure 2.3 Normalized frequency of bending strength of Kapur species at green and air-dried conditions (Alik and Andrew, 2006)
50
Figure 3.1
Flow-chart on the samples preparation and testing
62
Figure 3.2 Test set-up for longitudinal vibration frequency method
67
Figure 3.3 Test set-up for dead weights loading deflection method
68
Figure 3.4 Test set-up of structural sample for static bending
70
Figure 3.5 Test set-up for small clear specimen for static bending
72
Figure 4.1
Mean of moduli of elasticity of structural timber 83
Figure 4.2
Mean bending strength of structural timber 86
Figure 4.3
Mean of air-dried density of structural timber 88
Figure 4.4
Mean of modulus of elasticity of small clear specimens 91
Figure 4.5
Mean of bending strength of small clear specimens 92
Figure 4.6 Mean of compressive strength parallel to grain of small clear specimen
93
Figure 4.7
Number of specimens tested for each timber grade 97
Figure 4.8
Distribution pattern of rupture bending test of structural timber
104
Figure 5.1 Relationship between Edwe and Efrl of structural timber of heavy hardwood
109
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Figure 5.2 Relationship between Edwf and Efrl of structural timber of
heavy hardwood
109
Figure 5.3 Relationship between Eapp and Efrl of structural timber of heavy hardwood
110
Figure 5.4 Relationship between Etru and Efrl of structural timber of heavy hardwood
110
Figure 5.5 Relationship between Edwf and Edwe of structural timber of heavy hardwood
111
Figure 5.6 Relationship between Eapp and Edwe of structural timber of heavy hardwood
111
Figure 5.7 Relationship between Etru and Edwe of structural timber of heavy hardwood
112
Figure 5.8 Relationship between Eapp and Edwf of structural timber of heavy hardwood
112
Figure 5.9 Relationship between Etru and Edwf of structural timber of heavy hardwood
113
Figure 5.10 Relationship between Eapp and MOR of structural timber of heavy hardwood
114
Figure 5.11 Relationship between Etru and MOR of structural timber of heavy hardwood
115
Figure 5.12 Relationship between Edwe and MOR of structural timber of heavy hardwood
115
Figure 5.13 Relationship between Edwf and MOR of structural timber of heavy hardwood
116
Figure 5.14 Relationship between Efrl and MOR of structural timber of heavy hardwood
116
Figure 5.15 Coefficient of correlation between MOE and MOR of heavy hardwood
117
Figure 5.16 Relationship between Edwe and Efrl of structural timber of medium hardwood
119
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Figure 5.17 Relationship between Edwf and Efrl of structural timber of
medium hardwood
119
Figure 5.18 Relationship between Eapp and Efrl of structural timber of medium hardwood
120
Figure 5.19 Relationship between Etru and Efrl of structural timber of medium hardwood
120
Figure 5.20 Relationship between Edwf and Edwe of structural timber of medium hardwood
121
Figure 5.21 Relationship between Eapp and Edwe of structural timber of medium hardwood
121
Figure 5.22 Relationship between Etru and Edwe of structural timber of medium hardwood
122
Figure 5.23 Relationship between Eapp and Edwf of structural timber of medium hardwood
122
Figure 5.24 Relationship between Etru and Edwf of structural timber of medium hardwood
123
Figure 5.25 Relationship between Eapp and MOR of structural timber of medium hardwood
124
Figure 5.26 Relationship between Etru and MOR of structural timber of medium hardwood
125
Figure 5.27 Relationship between Edwe and MOR of structural timber of medium hardwood
125
Figure 5.28 Relationship between Edwf and MOR of structural timber of medium hardwood
126
Figure 5.29 Relationship between Efrl and MOR of structural timber of medium hardwood
126
Figure 5.30 Coefficient of correlation between MOE and MOR of medium hardwood
127
Figure 5.31 Relationship between Edwe and Efrl of structural timber of light hardwood
129
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Figure 5.32 Relationship between Edwf and Efrl of structural timber of light
hardwood
130
Figure 5.33 Relationship between Eapp and Efrl of structural timber of light hardwood
130
Figure 5.34 Relationship between Etru and Efrl of structural timber of light hardwood
131
Figure 5.35 Relationship between Edwf and Edwe of structural timber of light hardwood
131
Figure 5.36 Relationship between Eapp and Edwe of structural timber of light hardwood
132
Figure 5.37 Relationship between Etru and Edwe of structural timber of light hardwood
132
Figure 5.38 Relationship between Eapp and Edwf of structural timber of light hardwood
133
Figure 5.39 Relationship between Etru and Edwf of structural timber of light hardwood
133
Figure 5.40 Relationship between Eapp and MOR of structural timber of light hardwood
135
Figure 5.41 Relationship between Etru and MOR of structural timber of light hardwood
135
Figure 5.42 Relationship between Edwe and MOR of structural timber of light hardwood
136
Figure 5.43 Relationship between Edwf and MOR of structural timber of light hardwood
136
Figure 5.44 Relationship between Efrl and MOR of structural timber of light hardwood
137
Figure 5.45 Coefficient of correlation between MOE and MOR of light hardwood
137
Figure 5.46 Relationship between Edwe and Efrl of structural timber
140
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Figure 5.47 Relationship between Edwf and Efrl of structural timber
141
Figure 5.48 Relationship between Eapp and Efrl of structural timber
141
Figure 5.49 Relationship between Etru and Efrl of structural timber
142
Figure 5.50 Relationship between Edwf and Edwe of structural timber
142
Figure 5.51 Relationship between Eapp and Edwe of structural timber
143
Figure 5.52 Relationship between Etru and Edwe of structural timber
143
Figure 5.53 Relationship between Eapp and Edwf of structural timber
144
Figure 5.54 Relationship between Etru and Edwf of structural timber
144
Figure 5.55 Relationship between Eapp and MOR of structural timber
147
Figure 5.56 Relationship between Etru and MOR of structural timber
148
Figure 5.57 Relationship between Edwe and MOR of structural timber
148
Figure 5.58 Relationship between Edwf and MOR of structural timber
149
Figure 5.59 Relationship between Efrl and MOR of structural timber
149
Figure 5.60 Coefficient of correlation between MOE and MOR of timber species
150
Figure 5.61 Relationship between density and Etru of structural timber of heavy hardwood
156
Figure 5.62 Relationship between density and Eapp of structural timber of heavy hardwood
156
Figure 5.63 Relationship between density and Edwe of structural timber of heavy hardwood
157
Figure 5.64 Relationship between density and Edwf of structural timber of heavy hardwood
157
Figure 5.65 Relationship between density and Ef rl of structural timber of heavy hardwood
158
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Figure 5.66 Relationship between density and MOR of structural timber of
heavy hardwood
158
Figure 5.67 Coefficient of correlation between density and strength properties of heavy hardwood
159
Figure 5.68 Relationship between density and Eapp of structural timber of medium hardwood
160
Figure 5.69 Relationship between density and Etru of structural timber of medium hardwood
161
Figure 5.70 Relationship between density and Edwe of structural timber of medium hardwood
161
Figure 5.71 Relationship between density and Edwf of structural timber of medium hardwood
162
Figure 5.72 Relationship between density and Efrl of structural timber of medium hardwood
162
Figure 5.73 Relationship between density and MOR of structural timber of medium hardwood
163
Figure 5.74 Coefficient of correlation between density and strength properties of medium hardwood
163
Figure 5.75 Relationship between density and Eappof structural timber of light hardwood
165
Figure 5.76 Relationship between density and Etru of structural timber of light hardwood
165
Figure 5.77 Relationship between density and Edwe of structural timber of light hardwood
166
Figure 5.78 Relationship between density and Eawf of structural timber of light hardwood
166
Figure 5.79 Relationship between density and Efrl of structural timber of light hardwood
167
Figure 5.80 Relationship between density and MOR of structural timber of light hardwood
167
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Figure 5.81 Coefficient of correlation between density and strength
properties of light hardwood
168
Figure 5.82 Relationship between density and Eapp of structural timber
170
Figure 5.83 Relationship between density and Etru of structural timber
171
Figure 5.84 Relationship between density and Edwe of structural timber
171
Figure 5.85 Relationship between density and Edwf of structural timber
172
Figure 5.86 Relationship between density and Efrl of structural timber
172
Figure 5.87 Relationship between density and MOR of structural timber
173
Figure 5.88 Coefficient of correlation between density and strength properties of timber species
173
Figure 5.89 Relationship between pilodyn penetration and density of heavy hardwood
176
Figure 5.90 Relationship between pilodyn penetration and Etru of heavy hardwood
176
Figure 5.91 Relationship between pilodyn penetration and Eapp of heavy hardwood
177
Figure 5.92 Relationship between pilodyn penetration and MOR of heavy hardwood
177
Figure 5.93 Relationship between pilodyn penetration and density of medium hardwood
178
Figure 5.94 Relationship between pilodyn penetration and Etru of medium hardwood
179
Figure 5.95 Relationship between pilodyn penetration and Eapp of medium hardwood
179
Figure 5.96 Relationship between pilodyn penetration and MOR of medium hardwood
180
Figure 5.97 Relationship between pilodyn penetration and density of light hardwood
181
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xviii
Figure 5.98 Relationship between pilodyn penetration and Etru of light
hardwood
181
Figure 5.99 Relationship between pilodyn penetration and Eapp of light hardwood
182
Figure 5.100 Relationship between pilodyn penetration and MOR of light hardwood
182
Figure 5.101 Relationship between pilodyn penetration and density of structural timber
184
Figure 5.102 Relationship between pilodyn penetration and Etru of structural timber
184
Figure 5.103 Relationship between pilodyn penetration and Eapp of structural timber
185
Figure 5.104 Relationship between pilodyn penetration and MOR of structural timber
185
Figure 5.105 Relationship between Etru of structural and MOE of small clear specimens
187
Figure 5.106 Relationship between Eapp of structural and MOE of small clear specimens
188
Figure 5.107 Relationship between structural and small clear specimens in MOR
188
Figure 5.108 Relationship between ratio of L/H and ratio of Efrl/Etru
191
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xix
LIST OF PLATES
Page
Plate 2.1 Forest types of Sarawak
12
Plate 2.2 Longitudinal surface of Selangan batu bukit
22
Plate 2.3 Longitudinal surface of Menggris
24
Plate 2.4 Longitudinal surface of Penyau
25
Plate 2.5 Longitudinal surface of Kapur paya
26
Plate 2.6 Longitudinal surface of Alan batu
28
Plate 2.7 Longitudinal surface of Jongkong
29
Plate 2.8 Longitudinal surface of Geronggang
30
Plate 2.9 Knot
53
Plate 2.10 Measurement of slope of grain
54
Plate 2.11 Split
55
Plate 2.12 Check
56
Plate 3.1 Mixed Dipterocarp Forest
60
Plate 3.2 Peat Swamp Forest
60
Plate 3.3 Identification of timber samples
61
Plate 3.4 Processing and machining of timber samples
63
Plate 3.5 Drying of timber samples
64
Plate 3.6 Compression parallel to grain
73
Plate 3.7 Pilodyn wood tester
74
Plate 3.8 Drying oven
75
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Plate 3.9 Swivel handled scriber
77
Plate 4.1 Brash tension
103
Plate 4.2 Cross grain
103
Plate 4.3 Compression and tension
103
Plate 4.4 Horizontal shear
103
Plate 4.5 Sloping grain
104
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xxi
LIST OF ABBREVIATIONS
ALAN Alan batu
BS British standard
AD Air-dried density
Eapp Apparent modulus of elasticity, obtained at mid-span deformation under two-point loading
Edwe Dead weights loading modulus of elasticity at edgewise
Edwf Dead weights loading modulus of elasticity at flat-wise
Efrl Dynamic longitudinal fundamental vibration frequency modulus of elasticity
EMC Equilibrium moisture content
Etru True modulus of elasticity
FSP
Fibre saturation point
GERO Geronggang
JONG Jongkong
KAPA Kapur paya
KSR Knot size ratio
MC Moisture content
MGR Malaysian grading rules
MGRS Menggris
MOE Modulus of elasticity
MOR Modulus of rupture (Ultimate bending strength)
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MS Malaysian standard
n Number of test specimens
PYAU Penyau
SG Strength group
SLGB Selangan batu bukit
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xxiii
PENGGREDAN TEGASAN STRUKTUR BAGI KAYU TERPILIH SARAWAK MENGGUNAKAN UJIAN-UJIAN TANPA MUSNAH
ABSTRAK
Sebanyak tujuh spesies kayu terpilih iaitu, Selangan batu bukit, Menggris,
Penyau, Kapur paya, Alan batu, Jongkong dan Geronggang digunakan untuk mengkaji
hubung kait diantara ciri-ciri kekuatan bagi kayu yang bersaiz struktur. Lima ujian-ujian
tanpa musnah iaitu, Efrl, Edwe, Edwf, Eapp dan Etru telah dibandingkan bagi meramalkan
ciri-ciri fizikal dan kekuatan lenturan kayu pada tahap kering udara. Hasil daripada
kajian, didapati bahawa Selangan batu bukit merupakan spesies kayu yang paling kuat
berdasarkan Eapp dan Etru diikuti oleh Menggris, Kapur paya, Penyau, Alan batu,
Jongkong dan Geronggang. Berdasarkan nilai MOR, Selangan batu bukit juga adalah
paling kuat diikuti oleh Menggris, Penyau, Kapur paya, Alan batu, Jongkong dan
Geronggang. Didapati bahawa korelasi sederhana kuat hingga kuat diantara modulus
kenyalan tanpa musnah dan MOR bagi kumpulan kayu keras berat, sederhana dan
ringan. Dengan mengabungkan kesemua tujuh spesies kayu akan memberi keputusan
korelasi yang lebih baik. Daripada kesemua keadah tanpa musnah, Efrl merupakan
keadah yang paling baik sekali dibandingkan kaedah tanpa musnah yang lain bagi
meramalkan ciri-ciri kekuatan kayu. Hubung kait antara ketumpatan, kedalaman pilodyn
dan nilai kekuatan diperolehi daripada kayu bersiz kecil dengan ciri-ciri kekuatan
struktur bagi tujuh spesies juga menghasilkan hubung kait yang kuat. Didapati bahawa
dengan menggunakan nilai MOEmin dihasilkan dari kayu bersaiz kecil merupakan nilai
yang selamat untuk tujuan rekaan.
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xxiv
STRUCTURAL STRESS GRADING OF SELECTED SARAWAK TIMBER USING NON-DESTRUCTIVE TESTS
ABSTRACT
A total of seven selected timber species namely, Selangan batu bukit, Menggris,
Penyau, Kapur paya, Alan batu, Jongkong and Geronggang were used to study the
relationship between the strength properties of full size structural timber. Five non-
destructive tests namely, Efrl, Edwe, Edwf, Eapp and Etru were used to predict the physical
and strength properties of air-dried full size structural timber. Results indicated that
structural timber of Selangan batu bukit exhibited the highest values of Eapp and Etru
followed by Menggris, Kapur paya, Penyau, Alan batu, Jongkong and Geronggang.
Selangan batu bukit also produced the strongest in term of MOR followed by Menggris,
Penyau, Kapur paya, Alan batu, Jongkong and Geronggang. Moderately strong to strong
coefficient of correlations was observed between non-destructive moduli of elasticity
and MOR on heavy, medium and light hardwood groups. Pooled results of the seven
timber species indicated better correlations. Efrl seemed to be the best method compared
to the other non-destructive tests in predicting the strength properties. Relationships
between density, pilodyn penetration and strength values from small clear specimens
with strength properties of structural timber of the seven timber species also indicated
strong correlations. It was found that MOEmin values and their grade stresses derived
from small clear specimens seemed to be safe values for use for design purposes.
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CHAPTER 1
INTRODUCTION
1.1 Background
Malaysia is very fortunate to be blessed with abundant tropical rain forests
that contained the multi-species of fauna and flora. The forests provide a wide range
of goods and services for the benefit of mankind and also play significant roles in the
socio-economic development of our country. The tropical rain forests is
heterogeneous and complex in nature where it contains various species of trees that
produce timber and timber products that contributed significantly to the Growth of
National Products (GNP) and foreign exchange. The natural heritage is a relatively
cheap and renewable source of readily available foods and daily goods for the rural
populace. In addition, it is important for environmental protection, source of
invaluable genetic materials and to ensure a continuous supply of clean water to the
mankind.
The natural forests of Sarawak alone are estimated to contain about 2,500 to
3,000 timber species and floristically are among the richest in the world (Anderson,
1980). Out of the total number of these timber species, the properties and
characteristics of only a few hundred species have been properly described and are
known for their commercial values through the publication of the Malaysian grading
rules for sawn hardwood timber. The properties and characteristics of a large number
of the timber species are not known because they were yet to be evaluated,
documented and published. The large number of timber species available reflects the
high species diversity and variation between species, which will lead to difficulties
associated with species identification, classification and utilization. This has an
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impact on the effective utilization of these timber species. Hence, it is necessary that
the stress grading system for tropical timbers be introduced for an economical and
efficient utilization if they are to be used as construction materials.
In Sarawak, sawn timber is widely used as construction materials especially
in the housing and construction industry sector. Since timbers in popular demand are
getting scarce and expensive, substitute for these timber species are made based on
the end-use classification rather than by species selection. Timbers species that are
well-known and readily available are always preferred for certain end-user.
According to Mamit (1987) a total of twelve indigenous timber species commonly
used in this industry in Sarawak. From the survey conducted, it was found that the
use of timber in construction revealed that there are considerable differences in the
specifications and sizes of timber used for specific building components. According
to Mamit (1987) specifications made were found to be inadequate with respect to
timber species, timber grades, moisture content and also preservative treatment.
Therefore, it is necessary to introduce the recommended timber specifications meant
for construction materials for the timbers to be utilized effectively and economically.
Generally, timbers intended for use as structural members are designed
through engineering calculations to be applied to timber construction. These types of
calculations, especially those adapted within engineering software are meant for
homogenous structural materials and may not be applicable to non-homogenous
material such as wood. This is very obvious especially in the housing and
construction sector. The contractors tend to have prejudices to timber materials thus
imposed high premium and insurance on timber buildings. The by-laws in the local
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council normally inhibit the use of timber as permanent structures. Lately, metals and
concrete have been preferred over wood for the structural components due to
homogeneity in terms of their properties.
Generally, designers see timber as a novelty, suitable for domestic dwellings
but not for structural application. This attitude towards timber arises because of
timbers natural variation which tends to reduce designer’s confidence in the material
and also cause minor construction difficulties. To eradicate the prejudices on timber
such as, fire hazards, not durable and meant only for temporary structures, there must
be of good timber design, workmanship and proper timber specifications. For
example, it is well-known that although timber is combustible materials, it has low
ignitability and large cross-section do not buckles or crumbles like steel or concrete
which are non-combustible materials under intense heat. It is also known that most of
the designers, engineers and architects involved in the construction industry have
very little or no knowledge at all on timber design as a result of training background.
To have a proper utilization of timber as the materials, certain grading rules and
guidelines have to be properly understood and strictly adhered to and perceptions of
timber as a secondary construction material need to be changed.
Modern technology has made possible with the development of improved
grading practices and improved engineered timber products. A faster, more reliable
and cheaper way to determine the timber strength is inevitable as the demand of
timber with high strength values that has been graded in a controlled manner is on
the increase. After all, to use timber safely and reliably in construction, each member
has to be assessed for its load-bearing capacities. Non-destructive evaluation is one
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of the methods that can be useful in grading of structural materials. Non-destructive
evaluation methods have been developed based on instrumented quantifiable
measurements and thus minimize human subjectivity (Bodig, 1994). This is the
potential method that can be tapped to replace the current visual grading which can
be considered obsolete and outdated. Limited work has been done to develop and
implement stress grading system for our tropical timber. In addition, so far there is
no unified international standard used to grade timber especially for the tropical
hardwood. The grading system for the tropical hardwoods based on the temperate
softwood would be not appropriate and not applicable as properties of hardwood and
softwood are very much different with each others.
The availability of renewable low-cost timber materials, coupled with
technical data on strength and durability properties and a strong commitment to
technology transfer and marketing to overcome the culture barrier can provide a
significant increase in the use of timber as construction materials. Culture
perceptions namely, the use of timber being reflective of a poor man’s material,
timber is non-durable material and being not able to acquire financing or insurance
would contribute to the restriction of timber as construction materials. At the
moment, there is no sawmill interested in producing mechanical stress graded timber
because they perceived that lack of market for such materials both domestically and
abroad. Unless there is a harmonized stress grading rule at least on a regional basis
meant for tropical hardwood timbers.
There are various techniques and equipment available in the market that can
be used for non-destructive evaluation of timbers, timber structures, wood products
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and many others. The equipment available varies in term of the price, size, design,
function, efficiency and reliability. In the temperate countries, non-destructive testing
techniques have been widely used to grade and test full size timber structure. There is
a need to determine if this equipment is suitable or reliable to be used for non-
destructive testing equipment for tropical timbers.
1.2 Problem Statement
For the past years in Malaysia, strength properties of wood were determined
by testing of small clear specimens. The test results obtained are being used to
classify timber groups as stated in the Malaysian Grading Rules and also used to
derive the grade stresses such as select, standard and common grades, respectively
(Engku, 1971). However, it was found that the assumptions of stress ratio to derive
the permissible unit stress could not work effectively for every timber species.
According to the study conducted by Alik and Nakai (1997a) found that strength
results determined from full size structural timber was considered to be more reliable
to assign the design stress thus eliminates the risk of stress ratio assumptions.
Currently, visual stress grading rule is being used to grade timber however,
the grading rules are often unknown, the benefits are not understood and there is no
value-added pricing to the graded timber in the market place. It is used to grade
timber based on size and position of wood defects such as knot, slope of grain,
brittle-heart and wane (Anon, 1984). This type of grading on timber is more
appropriate for non-structural applications as it is not able to estimate the loading
capacity of timber in use. The highest grade with visual grading likely will not
achieved the highest possible grade technically. This could be due to wide variation
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in the inherent characteristics and properties of timber. The control process on the
properties of timber through structural stress grading is an absolute necessity in order
to instill confidence and reliability in using such materials for structural applications.
1.3 Objectives of Study
The main objective of this study is to evaluate non-destructive and destructive
tests on the strength properties of full size structural timber in Sarawak. The
objectives are as follows:
(i) To determine and compare the physical and strength properties of full size
structural timber of selected species.
(ii) To determine the correlation between non-destructive testing and destructive
testing methods.
(iii) To study the relationship between visual parameters and strength properties
of full size structural timber.
(iv) To compare the grade stresses of timber for small clear specimens and full
size structural timber samples.
1.4 Scope of Works
Study on relationship of physical and strength properties of full size structural
timbers are limited to the timber species namely, Selangan batu bukit, Menggris,
Penyau, Kapur paya, Alan batu, Jongkong and Geronggang only. They are selected
for the reasons that the species are representative of each strength group as stated in
Malaysian Standard MS 544: Part 2 and Malaysian grading rules (MGR), being
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commonly used as construction materials and also due to accessibility and
availability of the species.
Non-destructive tests are also limited to five methods viz., longitudinal
fundamental vibration frequency, dead weights loading deflection at flat-wise and
edgewise, load and deformation at mid-span and at moment constant area were used
for determination of modulus of elasticity values in full size structural timber. These
are considered as potential non-destructive testing methods that can be used for stress
grading of tropical timber. In addition, pilodyn penetration is also used as non-
destructive technique for prediction of physical and strength properties. Two-point
loading and centre-point loading methods are used as destructive tests to determine
the ultimate bending strength values of full size structural and small clear timber
samples, respectively.
1.5 Outline of the Thesis
Chapter 1 explained the background of the project that includes richness of
the timber species available in the country and only few hundred of these species are
known in the international market. Building contractors have prejudices on the use of
timber as construction materials hence, other materials such as metals and concrete
are given the priority for the structural components. The problem arises as those
involved in the construction industry have very little or no knowledge on the timber
properties and characteristics. Visual grading is used to grade timber is more towards
grading on its aesthetic rather than quantify the actual strength values. Permissible
unit stresses used for grading are derived from testing of small defect-free specimens.
Testing of full size structural timbers are very costly hence, the structural properties
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most of timber species are not known yet. Therefore, testing the physical and
mechanical properties of full size structural timber and establish the reliable stress
grading method is a necessity as to develop the confidence of using timber as
construction materials.
Chapter 2 outlined the literature review on forestry and forest sector of
Sarawak. This sector contributed significantly towards socio-economic development
of the state that accounted 39% of total revenue and provide employment about
300,000 people. It also highlighted the use of timber in which building and
construction industry sectors are largest user of sawn timber. Properties and uses of
the seven selected species are also described in details. The current grading systems
of timber are also mentioned in details namely visual grading and mechanical
grading of timber. Various non-destructive evaluation techniques used to measure
and predict the property of timber and timber products used in the temperate
countries are also reviewed. Constraints related to timber grading in the state are
broadly divided into two aspects namely the availability of the raw materials and the
costing are also discussed. Factors such as timber species, density, moisture content
and wood defects on strength properties are also reviewed and highlighted.
Chapter 3 outlined the details on materials and methods in which seven
selected timber species were used in this study. Timber samples were collected from
the forests. The flitches obtained were subsequently machined and converted to the
sample size of 50 x 100 x 2000 mm in length. Tests were conducted on air-dried
samples. Dynamic and static non-destructive testing methods were used to determine
modulus of elasticity values of the timber samples. Static bending rupture tests of full
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size structural and small clear samples were carried out after completed the non-
destructive tests. Rupture bending tests on timber samples were conducted in
accordance to the British standards. Measurement of penetration depth of pin of
Pilodyn wood tester and physical properties such as moisture content, density, grain
angle and knot size ratio were also carried out.
Chapter 4 highlighted the results and discussion on the physical and
mechanical properties of full size structural timber of seven timber species. Among
the mechanical properties of structural timber compared and discussed namely the
values of moduli of elasticity obtained by using the non-destructive and destructive
tests. In addition, ultimate bending strength of the timber species is also discussed.
Strength properties of small defect- free specimens are also included in the
discussion. Physical properties such as density and moisture content of the timber
species are also highlighted and discussed. Grades stresses of select, standard and
common building on moduli of elasticity and bending strength of the timber species
are compared and discussed. Various rupture patterns of static bending tests are
mentioned in this chapter.
Chapter 5 also highlighted the results and discussion on the relationships
among the moduli of elasticity for heavy hardwood, medium hardwood and light
hardwood and also for all the seven timber species. Prediction of modulus of rupture
using dynamic and static moduli of elasticity are also compared and discussed both
for three timber groups and also for all the selected seven timber species.
Relationships of density and strength properties are also discussed. In addition,
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relationships between visual parameters with the strength properties are also
mentioned and discussed.
Chapter 6 highlighted the conclusions and recommendations derived from the
study. Among the conclusions that derived from the study namely the strongest and
the weakest timber species in term of modulus of elasticity and modulus of rupture
and also the heaviest and lightest timber species in term of their density. The best
non-destructive and destructive methods to predict bending strength of the timber
species are also concluded in the study. The minimum timber length recommended
for measurement by using vibration frequency method. To determine whether the
minimum values of modulus of elasticity derived from small defect-free specimens is
safe values for design purpose. Some recommendations such as timber species, small
diameter logs, height effect, creep deformation and mechanical grading of timber are
put forward for further studies in future.
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CHAPTER 2
LITERATURE REVIEW
2.1 Forestry of Sarawak
Sarawak is one of the thirteen states in the federation of Malaysia. It is the
largest states in Malaysia and located at the longitude from 109º 40' to 115º 40' E and
latitude from 0º 50' to 5º N of the equator. The state has an area of 12.4 million
hectares and it made up 37.5% of the total land of Malaysia. Out of the total land
area, 8.46 million hectares or 68.7% of its land are covered with natural forest and
often regarded, as the world’s most complex in term of their ecosystem (Anon,
1990a). It is blessed with an abundance of natural resources and its natural forest
provides the world of tropical hardwood and produces about 9.0 to 10.0 million cubic
meters annually.
It is estimated that about 6.0 million hectares of the land are under the
Permanent Forest Estate, which meant for sustainable timber production, 1.0 million
hectares are designated as Totally Protected Area and the remaining is classified
under State Land Forest. The natural forests in Sarawak can be classified into five
main types viz., Mangrove Forest, Peat Swamp Forest, Hill Mixed Dipterocarp
Forest, Kerangas Forest and Montane Forest. In term of forest area, Hill Mixed
Dipterocarp Forest covers an area of 7,314 million hectares, Peat Swamp Forest
comprises 1,246 million hectares and Mangrove Forest takes up 168,000 hectares.
The other two namely Kerangas Forest and Montane Forest are minimal in size and
of less economic importance as far as production of timbers is concerned (Anon,
1996). The forest types of Sarawak are shown in Plate 2.1.
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Plate 2.1 Forest types of Sarawak (Anon, 1996)
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Hill Mixed Dipterocarp Forests are the most species-rich forest as far as
different types of forests is concerned. It is known to have approximately 8,000
species of flowering plants of which most are of economically important species and
over 20,000 species of animals of which the majority are insects. The dipterocarp
comprised about 65 to 80% of the total stem wood volume of commercial trees and
the rest belongs to non-dipterocarp (Anon, 1996). There are many valuable timber
species found with different forest types in Sarawak as listed in Table 2.1.
Table 2.1 Timber species found in different forest types
No. Forest Types Timber Species
1.
Mixed Dipterocarp Forest
Selangan batu & Meranti group (Shorea spp.), Kapur (Dryobalanops spp.), Keruing (Dipterocarpus spp.), Resak (Cotylelobium spp. and Vatica spp), Keranji (Dialium spp.), Menggris (Koompassia malaccensis), Asam (Mangifera spp.), Durian (Durio spp.), Simpoh (Dillenia spp.), Kembang semangkok (Scaphium spp.) and Sepetir (Copaifera palustris)
2.
Samp Forest
Ramin (Gonystylus bancanus), Alan batu (Shorea albida), Jongkong (Dactylocladus stenostachys), Entuyut (Tetramerista glabra), Geronggang (Cratoxylum spp.) and Terentang (Campnosperma spp.)
3.
Mangrove Forest
Bakau (Rhizophora spp.), Perepat (Sonneratia alba.), Api-api (Avicennia spp.) Baru laut (Hibiscus tiliaceus), Pedada (Sonneratia caseolaris), Putat laut (Barringtonia asiatica) and Seladah laut (Dacryodes incurvata)
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The forests are managed for both their economic utilization and protection of
the environment, which takes into account the need to maintain a balanced eco-
system, conservation of species and genetic resources, protection of wildlife and soil,
safeguarding of water supplies as well as maintenance of sound climate conditions.
The natural forests of Sarawak form extremely important and valuable resources.
They provide essential life support systems for about 79% of the rural population
living in villages and longhouses. The forests have been important sources of food,
fuel, medicines and other produces for satisfying their basic needs since time
immemorial.
The forest resources of Sarawak have been systematically managed since the
beginning of the century by Forest Department, Sarawak. Over the years,
ecologically and environmentally sound forest conservation and management
practices have been developed to ensure that forest renewal and sustainable. Active
conservation strategies in Sarawak dated back as early as in the 1950's. There are
three legislative enactments in Sarawak pertaining to conservation viz., Forest
Ordinance (Sarawak Chapter 126), National Parks Ordinance (Sarawak Chapter 127)
and Wildlife Protection Ordinance (Sarawak Chapter 128). The forest management
and conservation programs implementation by the state in the past, present and future
are geared towards achieving the objectives of forest policy of the state (Anon,
1990a). As resources scarcity becomes more and more severe and the volume of
common timber species is depleting thus emphasis will be on the lesser-known and
under-utilized species as new raw materials. Land development and clearing of land
for agricultural purposes also contributed to the increasing volume of those species.
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Besides managing the natural forest systematically under sustained yield
management and for the protection and conservation of soil and water, establishment
of trial plot was initiated since 1980’s. To date, the Forest Department of Sarawak
has planted about 24,741.1 hectares of fast growing exotics and indigenous timber
species (Anon, 2005). Amongst the species planted for establishments of forest
plantation are Acacia mangium, Albizzia falcataria, Eucalyptus spp., Gmelina
arborea, Binuang (Octomeles sumatrana), Engkabang jantong (Shorea
marcophylla), Kapur bukit (Dryobalanops beccarii), Kelampayan (Neolamarckia
cadamba) and Sentang (Azadirachta excelsa).
A total of 38 forest plantation licenses covering an area of 3.5 million
hectares have been issued and out the total hectares, about 1.0 million hectares are
targeted to be planted by the year 2020. In future, plantation species will become an
important source of raw materials for the industries. The focus of the plantation
forest is mainly due to the potentially high yield of plantation species, economics in
growing and harvesting arising from the concentration of the crop in one place,
uniformity of timber size and technical specifications. Hence, the development of
forest plantation sector is essential in order to supplement the timber supply from the
natural forests (Anon, 2005).
2.2 Forest Industry Sector of Sarawak
The forestry and forest industries sector has contributed significantly towards
the overall socio-economic development of the state of Sarawak. This sector also
contributes towards for increased in foreign exchange earnings, gross domestic
production growth, government revenue, employment opportunities for resource
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based industries and improvement in the livelihood of the rural population. The
sector accounted for RM 0.824 billion in term of the state revenue that accounted
39% of the total revenue in 1999 and provides direct employment for more than
200,000 people and indirect employment for a further 100,000 people. There have
been rapid and wide-ranging developments in Sarawak’s timber processing industries
particularly since the early 1980’s. Sawmilling was the earliest processing industries
established followed by plywood, moulding and chipboard industries which had
expanded rapidly during 1980’s as a result of increasing demand for timber and
timber products in overseas markets. Now, the number of processing mills has
increased significantly with the number downstream processing plants exceeding the
primary processing mills.
Generally, processing industries can be categorized into primary, secondary
and tertiary processing. To date, a total of 1,104 mills are operated in the state. The
mills comprise 249 sawmill, 53 veneers and plywood mills, 21 dowels and moulding
mills, 7 laminated board mills, 4 fiberboard/particleboard mills and more than
hundred of furniture/carpentry shops and other timber mills engaged in the secondary
and tertiary processing. The number and types of timber mills for the year 2007 are
indicated in Table 2.2. The timber industry has maintained itself as an important
contributor to the economic development of the state. The industry emerged as one
the main foreign exchange earners in the commodity sector. Sarawak is the world’s
largest exporter of tropical logs mostly to Japan, Korea and Taiwan. The export level
has been declining over the years especially after Papua New Guinea increasing its
market shares to the importer countries.
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Table 2.2 Number and types of timber mills in Sarawak*
No. Types of Mills
No. of Mills
1.
Sawmill
249
2. Veneer/Plywood 53 3. Dowels/Mouldings 21 4. Laminated Boards 7 5. Wood Chips 3 6. Wood Cement Board 1 7. Parquet/Flooring Products 1 8. Particleboard 1 9. Medium Density Fibreboard 3 10. Block Board 1 11. Briquettes 2 12. Furniture mills, Timber yards and Other Woodworking plants
Total
763
1,104
*Source: TR&TTC, Sarawak Forestry Corporation
Logs production has decreased considerably in past years consistent with the
efforts at forest conservation and also in line with the state policy to increase the
amount of logs processed domestically. Now, emphasis is given to the export of
processed timber products. The sawmilling industry is the largest timber processing
industry in the state followed by veneer/plywood industry. The state earned about
RM 5.0 billion from the export of timber and timber products in 2001. The biggest
earnings from the timber industry, which remains a major revenue earner came from
plywood which amounted to RM 2.2 billion. The government made every effort to
promote downstream processing, especially in the manufacture of furniture in order
to meet the demand from overseas as well as domestic market. Various policies and
measures have been designed to accelerate the development of the furniture industry.
In order to conserve timber resources as well as to encourage greater downstream
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processing, the export of log from the state has tremendously decreased from year to
year. To provide the necessary infrastructure and other supporting services are
amongst the steps taken as to further facilitate the development of the industry.
There are numerous challenges faced by the industry either from the domestic
market or the international market. Among the challenges are raw materials supplies
for processing, skill manpower, low recovery rate and low productivity compared to
the main competitor countries like Japan, Germany and Italy. The industry is also
faced with competitions by low cost producing countries such as Indonesia, Vietnam
and China. In order for the timber and timber products to be competitive, there must
be proactive measures taken to enhance the quality, efficiency, expertise, skill as well
as productivity through technology enhancement in processing and enhancing
research and development activities in the state.
2.3 Utilization of Timber in Construction
Timber is one of the oldest building materials ever used and it has been
utilized throughout the history of mankind. Timber has provided humans with a
broad range of building products and construction materials. In line with the
modernization of the building and construction industry, efforts to minimize the costs
and new construction materials have to be produced. Non-wood products such as
concrete, metal and steel have redefined the construction industry. Timber is an
important building and construction materials in the state and the quality of its uses
related directly to how designers, architects and engineers understand the
characteristics and properties of the materials.
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Timber has been known as a versatile material for building and construction
and it is readily available locally. Timber being a non-toxic, biodegradable,
environmental-friendly, renewable and relatively cheap source of raw material will
continue to be popular items for human livelihood. Timber can be planed, cut and
chiseled to the desired size and shape either by hand or by machine. Its high strength
to weight ratio and its ease of handling make it an ideal material for housing frame
for wall, floor and roof. For the same weight, timber possesses tremendously high
strength, which is more superior compared to other raw materials such as plastic,
steel and metal. On durability aspects, some species of timber are naturally highly
resistant to rot and decay and can be treated with preservatives to be resistant.
Timber is also more fire resistant compare to steel. Large solid timber member chars
at a predictable rate with the charcoal forming the insulating layer that protects an
inner core of materials.
The abundance timber species found in the state reflect that the forests are
very heterogeneous and complex in nature, which yielded a large number of timber
species for various purposes and applications. Traditionally, timber is classified into
two major groups namely hardwood and softwood but for structural application, this
form of classification is inadequate and requires grouping of timbers according to
their load carrying capabilities. Currently, in Malaysia about 700 timber species have
been identified and widely being used in building constructions. Out of the total
number, 468 species have been introduced to the domestic and international markets
under the Malaysian grading rules for sawn hardwood timber (Anon, 1984). The
properties have been properly described and are known in the international trade for
their commercial values. These species are aggregated into 100 timber groups that
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mainly constitute of commercial timbers. Other species that are not included are due
to the small in volume or of less economic importance. The availability of such a
large number of timber species has often caused problems to the users for example in
predicting the actual supply of the species when required.
In Malaysia, sawn timber and plywood have been used extensively in
building construction. In general, the building and construction sectors are the largest
consumer of locally produced sawn timber that accounts about 60% of the total sawn
timber sold domestically (Anon, 1990b). Domestic demand for plywood used in the
construction sector, which absorb about 70% of the plywood while furniture industry
and packaging industry accounts for 17 and 4%, respectively. Timber has long been
and continues to be the predominant structural materials used in residential
construction in Sarawak especially in the rural areas. There are also many notable
examples of timber used especially in low cost houses, longhouses and kampong
houses.
The demand for construction materials has led to a better utilisation of wood,
which mainly comes from mixed species from different types of forests and of small
diameter trees. In addition, difficulties are also associated with the identification and
classification of our timber species. Freezaillah (1984) mentioned that most of the
timber species have been facing difficulties associated with identification and
marketing, particularly of lesser-known species. As for the users there is no simple
technique for species identification of sawn timber and also the standing trees. The
fact is that about 70% of our commercial timbers are sold under mixed species
(Anon, 1986). Hence, an efficient and effective utilisation of species is a challenge to
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the construction and building industries in Malaysia. Technique and technology for
coping with multi-species forest will also be the greatest challenge in the use of
timbers for building and construction purposes.
There are changes in the specifications according to the classification of the
timber species when specifying sawn timber. Currently, classifications of our timber
are viz., heavy hardwood, medium hardwood and light hardwoods. Strength
groupings were used in specifying timber for the various applications in construction
both for non-structural and structural applications are shown in Appendices A, B and
C.
2.4 Properties of Selected Timber Species
A comprehensive knowledge on the characteristics and properties of any
timber is essential to determine utilization aspect of the species. The acquisition of
basic information on physical and mechanical properties is complicated due to the
fact that their properties are subjected to wide variations brought about by the
external factors affecting the tree growth. In addition, timber is a product on of not
one but of many species of trees therefore each kind of timber exhibits its own
anatomical, physical, mechanical and chemical characteristics and properties. The
properties of selected timber namely, Salangan batu bukit, Menggris, Penyau, Kapur
paya, Alan batu, Jongkong and Geronggang as follows:
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2.4.1 Selangan batu bukit (Shorea foxworthyi)
Selangan batu bukit (Shorea foxworthyi) belongs to the family of
Dipterocapaceae. It is widely distributed throughout the State and commonly found
in lowland forest. The species occurring over a wide variety of habitats except peat
swamp forest. A total of 27 species of Selangan batu are recorded in the state
(Ashton, 1968). The species is considered one of the best heavy construction timbers
with the Strength group A (Anon, 1999b) Strength group SG 1 under MS 544 (Anon,
2001). The average density at air-dry condition is 906 kg/m3. The colour of
heartwood is yellow-brown to reddish brown whilst the sapwood is lighter in colour.
The longitudinal surface of the timber is shown in Plate 2.2.
Plate 2.2 Longitudinal surface of Selangan batu bukit
The timber is well-known for heavy construction, marine and wharf
construction, piling, boat building, parquet and heavy duty flooring, fence posts
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telegraph and power transmission poles, columns, posts, joists, rafter, joinery, heavy
duty furniture, door and window frame.
2.4.2 Menggris (Koompassia malaccensis)
Menggris (Koompasia malaccensis) belongs to the family of Leguminosae.
The species is found very widespread throughout Sarawak and not concentrated in
any one locality. The species found in peat swamp forests and throughout the
lowland forests. The other names of the species are Kempas (Peninsula Malaysia)
and Impas (Sabah). The trees are tall and having large buttresses. The crown is
cylindrical and columnar and exhibits a wide variety of forms, ranging from closely
fissured, scaly, cracked and lenticellate to minutely dippled (Wong and Kochumen,
1973). The tree is capable of achieving 55 meters in height and 6.5 meters in girth,.
The timber is classified as a medium hardwood (Anon, 1984) strength group
(SG) 2 under MS 544 (Anon, 2001). The timber is relatively strong, hard and heavy
with an average density of 890 kg/m3 at 15% moisture content. The sapwood is pale
yellow in colour and easily distinguished from the heartwood. The heartwood is
brick red when freshly sawn and darkening to orange red or reddish brown. The
timber is very strong and dries readily but must be carefully handled to avoid checks
and honeycombing. It is considered difficult to work with and moderately durable
when exposed to our environment. The longitudinal surface of the timber is shown in
Plate 2.3.
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Plate 2.3 Longitudinal surface of Menggris
The timber has gained a reputation for use in flooring and railway sleepers. The
timber is suitable for heavy construction works, posts, beam, joists, rafter, door and
window frames, vehicle bodies, tool handles, paneling and partitioning, furniture
making, parquet and strip flooring.
2.4.3 Penyau (Upuna borneensis)
Penyau (Upuna borneensis) belongs to the family of Dipterocarpaceae. The
mono species is widespread throughout the State and mostly found at sub-coastal
from Lundu to Lawas. The timber is classified under heavy hardwood and strength
group A (Anon, 1999b) strength group (SG) 3 under MS 544 (Anon, 2001). It has
mean density of 871 kg/m3. The colour of sapwood is light yellowish brown to light
brown while the heartwood is yellowish brown or brown and darkens to dark brown.
The longitudinal surface of the timber is shown in Plate 2.4. The grain is shallowly