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Mark H Wayne, Ph.D., P.E.Director of Application Technology
Kent Seminar SeriesUniversity of Illinois, Urbana-ChampaignApril 21, 2016
Mechanical Stabilization of Unbound Layers andIncorporation of Benefits in AASHTO ‘93 and M-E
Analysis of Flexible Pavements
Lecture Outline
Tensar International
Stabilization Function & Confirmation Through Research
AASHTO Empirical Approach
Mechanistic-Empirical Approach
New Pavement Performance Evaluation Technologies
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Tensar Corporation is the parent company of severalwholly-owned, market-leading subsidiaries including:
• Tensar International Corporation
• Geopier Foundation Company
• North American Green
Tensar Group Overview
Tensar International
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“Everything From the Ground Down”
ReinforcedSlope
RetainingWall
EmbankmentStabilization
RoadSubgrade
StabilizationPavement
Optimization
Manufacturing
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Lecture Outline
Tensar International
Stabilization Function & Confirmation Through Research
Proposed Definition by ISO TC221 - WG2
Stabilization: Improvement of the mechanicalproperties of an unbound granular material byincluding one or more geosynthetic layers suchthat the deformation under applied loads isreduced by minimizing soil particle movement.
Mechanical Stabilization is a more appropriate description –distinguishes from Chemical Stabilization, Lime Stabilization andothers
What is Stabilization?
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Importance of Stabilization
A half section of a typical railroad track structure was constructed. TriAx TX190L geogrid was installed 10” below the top of the
ballast. SmartRock is installed above geogrid and record real-time particle
movement including translation and rotation.
Particle Movement inside Railroad Ballast
Presented at the 2016 TRB conference,“Effect of Geogrid on Railroad Ballast Studied by SMART ROCK”Liu, S., Huang, Hai, Qiu, T. and Kwon, J.
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Research: Real Time Rotation
Rotation + Translation
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Laboratory setup
PARTICLE TRANSLATIONAL MOVEMENT was significantlyreduced with the inclusion of TX190L geogrid.
Particle Movement inside Railroad Ballast
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PARTICLE ROTATION was significantly reduced with the inclusionof TX190L geogrid.
Particle Movement inside Railroad Ballast
WITHOUT Geogrid WITH Geogrid
Visualized motion of SmartRock in ballast
Presented at TRB2016 conference,“Effect of Geogrid on Railroad Ballast Studied by SMART ROCK”
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Multi-Level Shear Box Testing – with Geogrid Shear plane 1 – top of the sand layer Shear plane 2 – 100mm above top of the sand Shear plane 3 – 200mm above top of the sand Shear plane 4 – 300mm above top of the sand
Multi-level Shear Box
The geogrid in the ballast layer increased the peak shear force atall of the four levels. The shear force increase is a true indication of the effect of
aggregate confinement.
Shear Force at Various Distances
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Large Scale TriAxial Testing
The University of Illinois Triaxial Ballast Tester or TX-24 Specimen Size: 12” x 24”
0
20
40
60
80
100
120
140
160
180
200
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 2.6 2.8 3
Devi
ator
Stre
ss (
kPa)
Time (Second)
Repeated loading pattern
Permanent Deformation Test Results
UNSTABILIZED unbound Ballast
STABILIZED with RectangularAperture Geogrid
STABILIZED with TriangularAperture Geogrid
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ITASCA DEM - Effect of Particle Confinement
10 wheel crossings (500 N, 0.5 m/s) 5 kPa normal stress is applied on load walls during the test
ITASCA DEM - Moving wheel load simulation
wheelcycles backand forth
non-stabilised- 9th run
mechanically stabilised- 9th run
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• DEM
Forces in the Geogrid Under a Wheel Loading
yz
xSS20 9th run
Fmax = 33.6 lb/ft
TX160 9th run
Fmax = 18.5 lb/ft
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ITASCA DEM - Lateral and Vertical Confinement
Biaxial Geogrid = reducedvertical and horizontaldisplacement versus control
TriAx = significantly less verticaland horizontal displacementversus control and biaxialgeogrid. Maintain particleshape and position = longterm stiffness retention!
(Particle Movement OverTime! = reduction in layerstiffness over time!)
Stabilization/Reinforcement Functions
Geogrid orGeosyntheticwhere particleconfinement isnot developed
Reinforcement
Geogrid whereinterlockresults inefficientparticle
confinement
Stabilization
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TRL Trafficking - Jenner, Watts & Blackman (2002)
Investigating different forms of geosynthetic Soft subgrade approx. 2% CBR 9,000 lb wheel (equal to 1 ESAL) Surface rut depth and deformation measured Subgrade profile measured after exhumation
Trafficking – 10,000 passes
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-140
-120
-100
-80
-60
-40
-20
00 2000 4000 6000 8000 10000
Mea
n r
ut
dep
th (
mm
)Passes
Membrane
Confinement
Control
Membrane ConfinementControl
-0.4
-0.3
-0.2
-0.1
0
0.1
0 0.4 0.8 1.2 1.6 2 2.4
Dep
th b
elo
w d
atu
m (
m)
Distance across section (m)0 0.4 0.8 1.2 1.6 2 2.4
Distance across section (m)0 0.4 0.8 1.2 1.6 2 2.4
Distance across section (m)
N = 0
-140
-120
-100
-80
-60
-40
-20
00 2000 4000 6000 8000 10000
Mea
n r
ut
dep
th (
mm
)
Passes
Membrane
Confinement
Control
Membrane ConfinementControl
-0.4
-0.3
-0.2
-0.1
0
0.1
0 0.4 0.8 1.2 1.6 2 2.4
Dep
th b
elo
w d
atu
m (
m)
Distance across section (m)0 0.4 0.8 1.2 1.6 2 2.4
Distance across section (m)0 0.4 0.8 1.2 1.6 2 2.4
Distance across section (m)
N = 100
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-140
-120
-100
-80
-60
-40
-20
00 2000 4000 6000 8000 10000
Mea
n r
ut
dep
th (
mm
)Passes
Membrane
Confinement
Control
Membrane ConfinementControl
-0.4
-0.3
-0.2
-0.1
0
0.1
0 0.4 0.8 1.2 1.6 2 2.4
Dep
th b
elo
w d
atu
m (
m)
Distance across section (m)0 0.4 0.8 1.2 1.6 2 2.4
Distance across section (m)0 0.4 0.8 1.2 1.6 2 2.4
Distance across section (m)
N = 200
-140
-120
-100
-80
-60
-40
-20
00 2000 4000 6000 8000 10000
Mea
n r
ut
dep
th (
mm
)
Passes
Membrane
Confinement
Control
Membrane ConfinementControl
-0.4
-0.3
-0.2
-0.1
0
0.1
0 0.4 0.8 1.2 1.6 2 2.4
Dep
th b
elo
w d
atu
m (
m)
Distance across section (m)0 0.4 0.8 1.2 1.6 2 2.4
Distance across section (m)0 0.4 0.8 1.2 1.6 2 2.4
Distance across section (m)
N = 500
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-140
-120
-100
-80
-60
-40
-20
00 2000 4000 6000 8000 10000
Mea
n r
ut
dep
th (
mm
)Passes
Membrane
Confinement
Control
Membrane ConfinementControl
-0.4
-0.3
-0.2
-0.1
0
0.1
0 0.4 0.8 1.2 1.6 2 2.4
Dep
th b
elo
w d
atu
m (
m)
Distance across section (m)0 0.4 0.8 1.2 1.6 2 2.4
Distance across section (m)0 0.4 0.8 1.2 1.6 2 2.4
Distance across section (m)
N = 1,000
-140
-120
-100
-80
-60
-40
-20
00 2000 4000 6000 8000 10000
Mea
n r
ut
dep
th (
mm
)
Passes
Membrane
Confinement
Control
Membrane ConfinementControl
-0.4
-0.3
-0.2
-0.1
0
0.1
0 0.4 0.8 1.2 1.6 2 2.4
Dep
th b
elo
w d
atu
m (
m)
Distance across section (m)0 0.4 0.8 1.2 1.6 2 2.4
Distance across section (m)0 0.4 0.8 1.2 1.6 2 2.4
Distance across section (m)
N = 2,000
2000 passes
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-140
-120
-100
-80
-60
-40
-20
00 2000 4000 6000 8000 10000
Mea
n r
ut
dep
th (
mm
)Passes
Membrane
Confinement
Control
Membrane ConfinementControl
-0.4
-0.3
-0.2
-0.1
0
0.1
0 0.4 0.8 1.2 1.6 2 2.4
Dep
th b
elo
w d
atu
m (
m)
Distance across section (m)0 0.4 0.8 1.2 1.6 2 2.4
Distance across section (m)0 0.4 0.8 1.2 1.6 2 2.4
Distance across section (m)
N = 5,000
2000 passes
-140
-120
-100
-80
-60
-40
-20
00 2000 4000 6000 8000 10000
Mea
n r
ut
dep
th (
mm
)
Passes
Membrane
Confinement
Control
Membrane ConfinementControl
-0.4
-0.3
-0.2
-0.1
0
0.1
0 0.4 0.8 1.2 1.6 2 2.4
Dep
th b
elo
w d
atu
m (
m)
Distance across section (m)0 0.4 0.8 1.2 1.6 2 2.4
Distance across section (m)0 0.4 0.8 1.2 1.6 2 2.4
Distance across section (m)
N = 9,000
Subgradeprofile
2000 passes 9000 passes
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Membrane ConfinementControl
-0.4
-0.3
-0.2
-0.1
0
0.1
0 0.4 0.8 1.2 1.6 2 2.4
Dep
th b
elo
w d
atu
m (
m)
Distance across section (m)0 0.4 0.8 1.2 1.6 2 2.4
Distance across section (m)0 0.4 0.8 1.2 1.6 2 2.4
Distance across section (m)
N = 10,000
Subgradeprofile
2000 passes 9000 passes 10,000 passes
-140
-120
-100
-80
-60
-40
-20
00 2000 4000 6000 8000 10000
Mea
n r
ut
dep
th (
mm
)Passes
Membrane
Confinement
Control
Confinement
Tensioned membrane
Note:
The membranegeosynthetic hastwice the strengthof theconfinementgeosynthetic
Geosynthetic Functions - Permanent Roadways
Filtration Separation Reinforcement Stabilization
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Stabilization
Geogrid aperture size relative to aggregate size and grading FHWA Guideline: D50<Aperture Size<2D85
where “D” values are for aggregate placed on the geogrid.
Separation Check Piping Ratio = D15fill/D85subgrade <5 Average Size Ratio = D50fill/D50subgrade < 25
Lecture Outline
Tensar International
Stabilization Function & Confirmation Through Research
AASHTO Empirical Approach
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AASHO Road Test (late 1950’s)
One Subgrade Type…
A-6 / A-7-6 (Clay)Poor Drainage
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Controlled Construction Methods...
1950s’ Vehicle Loads...
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AASHTO Pavement Design Guide
Empirical methodology
Based on AASHO Road Test
Several versions: 1961 (Interim Guide), 1972,
1986, 1993
1986 Guide highlights need formechanistic design
Benefit of includinggeosynthetics in pavement isrecognised to: Improved life Reduced thickness
Benefits cannot be derivedtheoretically
Designs not easily translatedto other geosynthetics
Test sections are necessary toobtain benefit quantification
Users are encouraged toaffirm their designs with fieldverification
AASHTO: R50-09
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Full Scale Evaluation
USCOE Full Scale APT Studies
Accelerated Pavement Testing:
Provide full-scale pavement performancedata for TriAx for base enhancement designfollowing AASHTO '93 and/or M-Eapproaches.
Project in 2 phases. Phase 1: CBR=3% (31 MPa) Phase 2: CBR=6% (62 MPa)
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Accelerated Pavement Testing (APT)
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APT Variation in Asphalt thickness
Geogrid Stabilized Section With2-inch AC After 100,000 ESAL’s
Control Section with 2-inch ACAfter 24,000 ESAL’s
APT Variation in Asphalt thickness
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TX
A
A
B
B
C
C
A – TXB – Control – same asphalt thicknessC – Control – increased asphalt thickness
Traffic Passes
Accelerated pavement testing carried out by US Corps ofengineers - Independently verified as accurate
Three trial sections – A,B,C Full size loaded wheel is trafficked back and forth and the
surface is rutted. The section A with TX in the base layer showed significantly
reduced rutting compared to the control B Section A with TriAx even outperformed section C with 25mm
more asphalt. TriAx is PROVEN to increase pavement life Alternatively, the pavement layer thickness can be
reduced for a given pavement life
100,000 standard axle passes
11mm
1200 10000 100000
RU
TD
EPTH
APT Variation in Asphalt thickness
Pavement Section ESAL’S at Surface Deformation
AsphaltThickness
(in)
Crushed limestone(in)
Geogrid 0.25 in. 0.50 in. 0.75 in. 1.0 in.
2 8 Yes (TriAxial) 19,300 100,000+ 100,000+ 100,000+
2 8 No 1,800 8,100 9,500 13,000
3 8 No 4,220 16,300 24,500 27,870
APT Variation in Asphalt thickness
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APT Variation in Asphalt thickness
Sections designed to validate “equal performance” between aconventional control and an optimized TX5 section
6 CBR High Plasticity Clay(CH) / A-7-6 Subgrade
Control Section(Lane 4)
4-inch HMA surface
8-inch Aggregate Base
3-inch HMA surface
6-inch Aggregate Base
GeogridSection(Lane 3)
APT Variation in Asphalt & Base thickness
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Permanent Surface Deformation Measurements
TestItem
PavementStructure
ESAL’s
832 5200 52,000 104,000 200,000
Item 1
4-inch AC8-inch BaseUnstabilized 0.00 0.05” 0.09” 0.17” 0.25”
Item 2
3-inch AC6-inch BaseStabilized 0.00 0.00 0.13” 0.21” 0.25”
Geogrid Stabilized Section With3-inch AC and 6-inch Aggregate Base
Control Section with4-inch AC and 8-inch AggregateBase
APT Variation in Asphalt & Base thickness
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APT Variation in Asphalt & Base thickness
SpectraPave4-PRO
Repeat Performance at 500,000 ESALs
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1 10 100 1000 10000 100000 1000000
Def
orm
atio
n (i
n.)
Cumulative ESALS
Average Surface Deformation
3" AC 6" Base TX5 4" AC; 8" Base Unstabilized
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Authors of DARWin 3.1 Considered experts in
the industry ofpavement design. Developed
AASHTOWare PavementME design softwarebeing Consultant for many
state DOTs
Review of Tensar Geogrid Benefit
Authored GMA WhitePaper II – utilized byAASHTO for thedevelopment of R50-09. Expert in the field of
Pavement Design. Consultant for FHWA and
other groups.
Third party verification ofAASHTO ‘93 pavementdesign using Tensar TriAxgeogrids Verified design
methodologies used inSpectraPave4-PRO software
ARA AASHTO ‘93 Design Verification
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‘93 AASHTO - Pavement Serviceability
Serviceability is a composite measure Pavement roughness Pavement cracking Pavement rutting Pavement surface distress
Asphalt thickness drives primary distress mechanism
SN = a1d1 + a2d2m2 + a3d3m3
Tensar geogrid stabilized base course leads to an enhanced “a” value
Design Limit
Pave
men
t Rou
ghne
ss
Time
No geogrid
Design Limit
with geogrid
Fatig
ue C
rack
ing
Time
No geogrid
Design Limit
Rut
ting
Time
No geogrid
Thin Pavement Primary DistressRoughness & Base/Subgrade Rutting (<3-inch)
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Standard Pavement Primary Distress Fatigue (3-6 inch)
Design Limit
Pave
men
t Rou
ghne
ss
Time
No geogrid
Design Limit
Fatig
ue C
rack
ing
Time
No geogrid
Design Limit
Rut
ting
Time
No geogrid
Thick Pavement Primary DistressRoughness & Asphalt Rutting (>6-inch)
Design Limit
Pave
men
t Rou
ghne
ss
Time
No geogrid
Design Limit
with geogrid
Fatig
ue C
rack
ing
Time
No geogrid
Design Limit
Rut
ting
Time
No geogrid
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Traffic Benefit Ratio (TBR)
100 mm HMA 150 mm HMA
34.5 / 55 / 76 MPa
Adoption of the geogrid benefit in AASHTO
Option Modulus Traffic
Conventional a AASHTOcalculation
Ns
MSL Mr a* AASHTOcalculation
Ns*
SN = a1d1 + a2d2m2 + a3d3m3
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07.8Mlog32.2
)1f*SN(10944.0
5.12.4PSIlog
2.0)1f*SN(log36.9SZWlog R10
19.5SN
10
SN100R1810
Subgraderepresentedby its resilientmodulus MR
Pavement layersrepresented by theirstructural number SN
Pavement conditiongiven by its presentserviceability indexPSI (p)
Traffic given by number of18 kip (80kN) ESA W18
Design with a Mechanically Stabilised Layer
SNmsl
SNmsl
Pavement Optimization Summary
Original DesignLife
6 X OriginalDesign Life
Original DesignLife, Lowest
First Cost
3 X OriginalDesign Life,Same Cost
4”
10”
3”
8”
3.5”
9”
4”
10”
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Pavement Optimisation – an existing proposal prior to optimisation
TraditionalPavementPa
vem
entq
ualit
y,Sa
lvag
e Va
lue
Serv
icea
bilit
y
Time
New or Reconstructed Pavement
Full
Rec
onst
ruct
ion
Req
uire
d
The Development of a Value Proposition
p0 = 5 for perfect pavement(this can never be attained)
p0 = 5
pt = 2
Original DesignLife
4”
10”
Pavement Optimisation – a short term value proposition approach• focus on the construction phase
Reduce the pavement to its optimum (thinnest) thickness, whilst retaining existing capacity
TraditionalPavement Time
New or Reconstructed Pavement
Full
Rec
onst
ruct
ion
Req
uire
d?
The Development of a Value Proposition
Original DesignLife, Lowest First
Cost
TensarPavement
Pave
men
tqua
lity,
Salv
age
Valu
e
Serv
icea
bilit
y
3”
8”
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Pavement Optimisation – a medium term value proposition approach• focus on the construction phase along with enhanced risk management benefits
Reduce the pavement thickness, whilst increasing the performance
TraditionalPavement Time
New or Reconstructed Pavement
Onl
y P
art
Rec
onst
ruct
ion
Req
uire
d
The Development of a Value Proposition
TensarPavement
3 X OriginalDesign Life,Same Cost Extended life = Reduced Costs
Pave
men
tqua
lity,
Salv
age
Valu
e
Serv
icea
bilit
y3.5”
9”
Pavement Optimisation – a long term value proposition approach• focus on the whole life cycle for the whole pavement structure
Maintain the pavement thickness, whilst increasing the whole life design capacity
TraditionalPavement Time
New or Reconstructed Pavement
Onl
y S
urfa
ceC
ours
e Tr
eatm
ent
Req
uire
dThe Development of a Value Proposition
TensarPavement
Extended life = Reduced Costs6 X OriginalDesign Life
Pave
men
tqua
lity,
Salv
age
Valu
e
Serv
icea
bilit
y
4”
10”
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Lecture Outline
Tensar International
Stabilization Function & Confirmation Through Research
AASHTO Empirical Approach
Mechanistic-Empirical Approach
Incorporating the geogrid effect into M-E Analysis
User Input
MechanisticAnalysis
TransferFunction
LifeEstimation
MaterialsClimateTraffic
Geogrideffect ondeterioration
Geogrideffect onmodulus
Life shiftfactors
Layeredelasticanalysis
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Mechanistic Empirical
1 – S Input
4 – A Input
3 – UG InputTriAx
2 – UG InputTriAx
EnhancedModulus
LEATransferFunction
ShiftFactor
TransferFunction
TransferFunction
TransferFunction
EnhancedModulus
LayerProperties
LayerProperties
Layer 3Life
Layer 4Life
Layer 2Life
Layer 1Life
Target ESALs
Me
et
Me
et
Me
et
Me
et
Incorporating the geogrid effect into M-E Analysis
Experts in the industry ofpavement design. Developed AASHTOWare
Pavement ME design softwareused throughout NorthAmerica today Currently Perform M-E
Validation and Calibration fornumerous State Department ofTransportation
Mechanistic-Empirical Analysis
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Lecture Outline
Tensar International
Stabilization Function & Confirmation Through Research
AASHTO Empirical Approach
Mechanistic-Empirical Approach
New Pavement Performance Evaluation Technologies
Elastic versus resilient modulus
Mr = (1-v2) f σo (a / dr)dr = recoverable deformation
E = (1-v2) f σo (a / d0)do = Elastic deformation
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Center for EarthworksEngineering Research
Assessment of Pavement Foundation Stiffness usingCyclic Plate Load Test, Presented by Mark H. Wayne
• Influence of load cycles
In-situ Resilient Modulus
Number fo Load Cycles
0 50 100 150 200 250
In-s
itu R
esili
ent M
odul
us (M
Pa)
60
80
100
120
140
160
180
Number of Load Cycles
0 50 100 150 200 250
Per
man
ent D
efor
mat
ion
(mm
)
2
4
6
8
10
12
14
16
18
20
TX160BX1200Control
35 to 345 kPa cyclic stress
GG2 TXGG1 BXControl
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dp = CNd
A power model describes the permanentdeformation versus load cycles responseto provide deformation forecastingcomparisons.
Monismith et al. (1975) described thepower model relationship for relatingpermanent strain to cycle loadings.
Post-compaction permanent strain isa function of the shear stressmagnitude and can reach anequilibrium state following the“shakedown” concept (see Dawsonand Feller 1999).
Number of load cycles, N
Perm
anen
t def
orm
atio
n,δ p
Weak Layer
Stabilized Layer(lower qualityaggregate)
Stabilized Layer(higher qualityaggregate)
f (material type, physicalstate, and stress conditions,Li and Selig 1994)
f (shear stress magnitude,aggregate abrasion resistance,resiliency of stabilizer)
Ingios 2-layer testing to determine baseand subgrade layer moduli values
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Two-Layered Analysis using Odemark’smethod of equivalent thickness concept
σo
Mr1, v1
Mr2, v2
dr,0
hdr,h
σo
Mr2, v2
Mr2, v2
he
e
dr,0
dr,h
Illustration of Odemark’s Method of Equivalent Thickness (MET) concept.
3222
211
)1(
)1(
vM
vMhh
r
re
'r,r)sg(r 'r
P)(M
21
)base(r
)sg(r
)base(r)sg(r
c M
r
h
)v(M
)v(M
r
hM
rf)(
2
2
322
21
02
1
11
1
11
11
Calculating Base and Subgrade LayerModulus – (AASHTO 1993)
Subgrade Layer Modulus
Base Layer Modulus using an iterative solution
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Pavement Design Options
Savings >$118,000
Automated Plate Load Testing SummaryHunt Highway, Arizona
Automated Plate Load Testing SummaryHunt Highway, Arizona
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Number of Cycles (N)
0 200 400 600 800 1000
Per
man
ent D
efor
mat
ion, p
(in.
)0.00
0.05
0.10
0.15
0.20
0.25
0.30123567
cyclic: 2 psi to 50 psi = 65 psiCycle Time = 0.65 sec
Number of Cycles (N)
10 100 1000
Per
man
ent D
efor
mat
ion, p
(in.
)
0.00
0.02
0.04
0.06
0.08
0.10123567
cyclic: 2 psi to 50 psi = 48 psiCycle Time = 0.65 sec
p-3 = 0.0452 (N)0.0922
R² = 0.9917(Point 3 - Highest p)
p-5 = 0.0241 (N)0.0988
R² = 0.9946(Point 5 - Lowest p)
Automated Plate Load Testing SummaryHunt Highway, Arizona
“For the 10,000 cycle test,the in-situ resilient modulusrapidly increased in theaggregate base layer forthe first ~3000 cycles andthen continued to increaseat a slower rate. Based on apermanent deformationrate of 0.0001in./cycle thetransition from plasticdeformation accumulationto near-linear elastic occursat N* = 8,696 cycles. AtN*, the in-situ Mr wasabout 321,881 psi (2xhigher than the averagevalue from the 1000 cycletests).”
Automated Plate Load Testing SummaryHunt Highway, Arizona
4/28/2016
47
Research OrganizationIngios Geotechics, Inc.
Section Tested6-inches of base over TX5
Testing ConductedMr of the mechanically stabilized base courseMr of the subgradeMr composite modulusModulus of subgrade reaction (k)Ev1 and Ev2 strain modulus testingResilient deflections (scaling exponent)
Automated Plate Load Testing SummaryHunt Highway, Arizona
0.12
0.22
0.31
UnstabilizedValue
SP4 MSL DesignValue
Verified MSLValue
Laye
r C
oeff
icie
nt
Tensar TX5 APLT FieldValidation
$118,000in savings
113% lifeextension
Mr (Ave) base 155,694 psi
Mr (Ave) subgrade 16,144 psi
Mr (Ave) composite 34,251 psi
Ev2 (top ofstabilized base)
15.23 ksi
Ev2/Ev1 Ratio 1.60
K-value (stabilized) 392 pci
Savings >$118,000 for both sections.Actual APLT results showed a layer coefficient of 0.31 –
providing 113% greater anticipated design life.
Actual Tested Values of theStabilized Pavement
Automated Plate Load Testing SummaryHunt Highway, Arizona
4/28/2016
48
PAVision
PaVision Equipment
PAVision by ARA
4/28/2016
49
PaVision Data Collection
Integrated with Google Maps
Image File Tagged to Collection Point
4/28/2016
50
Questions