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Road Materials and Mixture Design to prevent Permanent Deformation- Rutting
Hussain U. Bahia, PhD University of Wisconsin–Madison
November 5th, 2014, Buenos Aires, Argentina
Rutting: The most
damaging Pavement
Failure
1. Mechanism
2. Modeling
3. Binder Testing
4. Mixture Testing
5. Imaging and Micro
structure
Mechanics of Permanent Deformation for Rutting Modeling
•Volume change vs. Shape distortion
*Kim, R. Modeling of Asphalt Concrete (2009)
Str
ain
Time
load Distortion
Volume change
Mechanisms of Rutting: Volume and Shape changes
Factors Affecting Rutting
1. Traffic loading (cyclic).
2. Temperature: Most
critical at high.
3. Un-aged binder: Early
in pavement life
4. Permanent dislocation
of aggregate.
5. Accumulate gradually
with traffic.
Importance of Air Voids in Rutting: High voids = less traffic to same rut
*Kim, R. Modeling of Asphalt Concrete (2009)
Mechanistic Empirical Rutting Models
Asphalt Mixture Permanent Strain Model – Witczak et al.
Mechanistic Empirical Rutting Models MEPDG
Permanent to Resilient Strain Ratio Model
–NCHRP 1-37A
Mechanistic Empirical Rutting Models
Good correlation with Field - Strain Ratio Model
–NCHRP 1-37A=> Predicted vs. Estimated
*Kim, R. Modeling of Asphalt Concrete (2009)
How to Measure Rutting Resistance
Option A: Rheology
Option B: Damage Resistance
The focus in Rheology is on Linear Visco-Elasticity: G*, delta
1E+00
1E+01
1E+02
1E+03
1E+04
1E+05
1E+06
45 50 55 60 65 70 75 80 85 90
Co
mp
lex
Mo
du
lus
(Pa
)
<< Viscous Phase Angle delta (°) Elastic >>
Low SBS %
No polymer network
Viscous above 60°C
Reasonably workable
High SBS %
Polymer network
Elastic during compaction
Workability problem
Courtesy of Nynas
Rheology of Binders and Mixtuers Dynamic Modulus /E*, G*/ Phase Angle,
Time, t
osint
osin(t-
0
0|*|
E
it
Rheology of Binder and Mixture
1E+00
1E+02
1E+04
1E+06
1E+08
1E-04 1E-02 1E+00 1E+02 1E+04 1E+06 1E+08
Reduced Frequency (Hz)
Co
mp
lex
Mo
du
lus
(k
Pa
)Binder fit
Mix fit
Binder
Mixture
G*
, M
Pa
Reduced Frequency, Hz
0
15
30
45
60
75
90
1E-04 1E-02 1E+00 1E+02 1E+04 1E+06 1E+08
Reduced Frequency (Hz)
Ph
ase A
ng
le (
deg
)
Binder fit
Mix fit
Mixture
Binder
Rheology of Binder and Mixture
Need for Bitumen Damage Resistance Characterization
•Linear VE (Small strain) is
not sufficient (NCHRP 9-10)
•Bitumen damage resistance
is very important
•Modified bitumen best
in damage resistance
Strain f
f
Rheology
LVE
Non-Linear /
Damage
Rutting: Repeated Load
Permanent Deformation Test
Flow Number
• Creep rate:
- Flow Number (FN) at High Temp
TIME
Mixture Rutting Resistance Same mix different Binders: SBS, FPE, Hybrid
Titan
More than 10 times
=> Traffic
Damage Testing for Rutting (Repeated Creep Test for Binders)
Creep Tests at 70C, 300 Pa shear stress
(Loading 1s Recovery 9s) 100 cycles
0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
0 200 400 600 800 1000
Time (s)
Accu
mu
late
d S
train
PG82- PEs
PG 82- Oxidized
PG-82- SBSr
Creep Tests at 70C, 300 Pa shear stress
(Loading 1s Recovery 9s) 100 cycles
0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
0 200 400 600 800 1000
Time (s)
Accu
mu
late
d S
train
PG82- PEs
PG 82- Oxidized
PG-82- SBSr
Binder Rutting Testing – Creep and Recovery
Mixture Model for Rutting
Average of All Aggregates
Mix = 0.201 Binder + C
R 2
= 0.68
0.2
0.25
0.3
0.35
0.4
0.45
0.5
0 0.1 0.2 0.3 0.4
Binder rutting slope, (1/Kpa)
Mix
ture
ru
ttin
g s
lop
e S
Binder Damage Resistance
Role of Binders and how to test them
Need for Bitumen Damage Resistance Characterization
•Linear VE is not
sufficient Bitumen damage
resistance
is very important
•Modified bitumen best
in damage resistance
Strain f
f
LVE
G*,d
Non-Linear /
Damage
The new tests : Creep and Recovery (Multiple Stress Creep & Recovery- MSCR)
DSR
Dynamic Shear
Rheometer
0.1
68
Shear Stress, kPa
0.7 1.4
0.1
Shear Stain, mm/mm
0.7 1.4
Accumulated Strain
To Separate Non-Recoverable Response (Jnr) Four-Element (Burgers) Model
G0
t
t
G1
Strain
Time
Elastic Response
Delayed -Elastic Response
Viscous Response
More viscous ( non-recoverable) = more rutting Polymers Can Reduce Rutting Damage
Creep Tests at 70C, 300 Pa shear stress
(Loading 1s Recovery 9s) 100 cycles
0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
0 200 400 600 800 1000
Time (s)
Ac
cu
mu
late
d S
tra
in
PG82- PEs
PG 82- Oxidized
PG-82- SBSr
More Polymer
(e.g. Elvaloy)
Some Polymer
No Polymer
Cycles, (time, sec)
12.0
2.5
~ 75%
less
Rutting
Using Burgers Model to Estimate Jnr
teGG
tJtJJtJ
tG
vdee
0
/
10
1)1(
11
)()()(
11
where
Je = elastic compliance,
Jde = delayed elastic compliance, and
Jv = viscous compliance => Jnr
SS
Steady State Viscosity
Multiple Stress Creep and Recovery (MSCR) - ASTM 7045-10, AASHTO TP70
• Creep stress:0.1
kPa, 3.2 kPa
• 10 cycles
– 1 sec constant creep
stress
– 9 sec zero stress
• Output: Creep
compliance (Jnr)
and Percent
Recovery (%R) at 0.1
kPa, and 3.2 kPa
MSCR B5 46ºC
0.001
0.01
0.1
1
10
0 25 50 75 100 125 150 175 200
time (s)
Data
Model PredictionStress: 0.1 kPa
Stress: 3.2 kPa S
tra
in
The New Bitumen Grading System- M332 – PG xx(z)-yy 1. Climate: xx-yy 2. Traffic conditions- Trucks (S,H,V,E) 3. Reliability , and 4. Modification
PG 64(V)-10 Performance
Grade Summer
Average 7-day
max pavement
design temp
Winter
Min pavement
design temp
Traffic
Volume &
Speed
Advanced Performance Grading System for Qatar – AASHTO MP19
•Direct and effective consideration of Traffic
Traffic Volume Design ESALsa
(Million)
Adjusting the Jnr limits Measured at Environmental Grade
Traffic Speed - Load Rate
Standingb Slowc Standardd
0.3 to < 3 H Standard S 3 to < 10 V High H
10 to < 30 E Very high V ≥ 30 E Extremely high E
b-Standing Traffic—Average traffic speed is < 20 km/h. C Slow Traffic—Average traffic speed >20 to <70 km/h, d Standard Traffic—average traffic speed is > 70 km/h.
Mixture Micro-structure: Aggregate Packing effects
Role of Aggregates
and how to measure it
0
0,01
0,02
0,03
0,04
0,05
0,06
0 1000 2000 3000 4000 5000 6000
Tota
l Pe
rman
en
t St
rain
Number of Cycles
Binder 519
Binder 520
Increasing flow number
Better rut resistance
Typical Results from FN - Mixtures
Low Flow Number High Flow Number
0
0,01
0,02
0,03
0,04
0,05
0,06
0 2000 4000 6000 8000 10000
Tota
l Pe
rma
ne
nt
Str
ain
Number of Cycles
Neat-Coarse
GTR-Coarse
Plastomer-Coarse
Elastomer-Coarse
Could be
aggregate
packing
and
structure
Bitumen + aggregate gradation + volumetrics ≠
Performance
Can we Measure aggregate structure ? iPas1 … iPas2 … (Image Processing and Analysis Software)
• iPas: A tool to identify
aggregate structure.
• Give statistics about
– Packing
– Connectivity
– Orientation
– Spatial segregation Contact Length
Contact Zone
Stress Path
Input Image
Intensity Distribution
181
0 255
Thresholded Black and white image
Input Image
Intensity Distribution
176
0 255
12
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Input Image
Intensity Distribution
176
0 255
12
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(1) Image processing (2) Image analysis
Proximity points
Orientation
Segregation
iPas software includes 2-Parts
G1
G2
G3
Aggregate Packing Characterization 2D to represent 3D - Stereology
iPas output used to quantify packing: Aggr. Proximity Index
API= Total aggregate to aggregate Proximity length
Cutting sections
Internal Aggregate Structure (API) Can explain the differences in FN
Neat Binder
Elastomer Binder
GTR Binder
GTR Binder Lower Density
Plastomer Binder
More Results of Mixture Rutting: Effect of Aggregate Gradation
Elastomer- Coarse, Fine
,
Plastomer-Coarse, Fine
Neat- coarse , Fine
GTR-
Coarse,
Fine
Validation of Effect of Aggregate Packing and Skeleton
R² = 0,973
10
100
1000
10000
0 1000 2000 3000 4000
Ru
ttin
g -
FN
Proximity length (mm)
WCTG
Fine E1B1
Coarse E1B1
Projects
Technologies to Stop Rutting Damage Resistance Characterization + Imaging
Hard
Soft
Elastic
Viscous
Strong
Weak
Pen-Vis
Summary
•Both Binders and Aggregates play a major role in
rutting resistance
•Binder damage resistance should be measured
correctly ( large strain repeated creep)
•Voids can have an effect ( but aggregate structure
is more important
•Aggregate packing is very important
• Imaging and visualization can help
Same Problems but New Methods to Solve
Acknowledgments
•Conference Organizers
–Argentinean Road Association
•YPF organization
– Technical Manager Marcela Balige