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Implementation of the Traffic Speed Deflectometer (TSD) for Network Level
Pavement Management
by
Pavement Evaluation, 2019
Roanoke, VA
Ken Maser, InfrasensePete Schmalzer, Nevada DOT (formerly NCE)
Aaron Gerber, Kercher GroupJim Poorbaugh, Idaho Trans. Dept.
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Background
•Current PMS are based on surface distress- Continuous distress survey systems are available
•Remaining life depends on roadway structure- Below the surface
•TSD can now provide continuous roadway deflection data
- Over 200 miles per day/no closures
•GPR provides continuous layer structure data
•Combination can produce layer mechanical properties for roadway structural analysis
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Idaho Pilot Project
•Develop a more effective strategy for project selection and design
•Use TSD deflection data with GPR layer thickness data to calculate pavement structure properties
•Publish the data as a geospatial database usable to a wide audience
•Demonstrate the use of the data at both network and project levels
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Pilot Project – Idaho District 6
1035 total miles of roadway168 miles Interstate867 miles primary roads
2015 - 2017
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Data Collection
•TSD continuous at 10m and 0.01 mi. intervals- Provides deflection slope at various offsets from load
•FWD data in select areas for comparison
•Ground Penetrating Radar (GPR)- 1 GHz Horn Antenna, continuous at 1 foot intervals
• Selective coring for layer structure clarification
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Raw TSD Measurements
Load
Deflection Slope = VV/VHVH
VV
*not to scale
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10/8/2019
GPR Thickness Data Analysis
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Data Analysis Calculations
1. Deflections (from TSD slopes)
2. Layer Thickness (GPR)
3. Layer Moduli (steps 1+ 2 using Evercalc)
4. Effective Structural Number (2 + 3)
5. Required Structural Number for 20-year life (3 + W18)
6. Required Overlay Thickness (from 5)
7. Remaining Service Life (from 3, 4, and W18)
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10/8/2019
TSD vs. FWD – Maximum Deflection (D0)
0
5
10
15
20
25
30
35
40
31000 31500 32000 32500 33000 33500 34000 34500
Def
lect
ion
(m
ils)
Station (m)
TSD 0 Meter Sensor
FWD 0 Inch Sensor
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10/8/2019
TSD vs. FWD – Subgrade Modulus (MR)
0
10000
20000
30000
40000
50000
60000
70000
80000
64500 65500 66500 67500 68500
MR
(psi
)
Station (m)
TSDFWD
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Segmentation and Remaining Life (SH 28)
0
5
10
15
20
25
30
35
90.5 100.5 110.5 120.5 130.5
Rem
ain
ing
Life
(yr
s.)
Milepost
Remaining LifeAvg. Remaining Life/Segment
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Roadway Structure GeoDatabase
•Data is recorded in a series of tables
•Data is displayed spatially using ArcGIS
•Database is accessible through iPLAN• http://iplan.maps.arcgis.com/apps/webappviewer/index.htm
l?id=8099d313c7ac45119d44af98eeb98dfe
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10/8/2019
Segmented Remaining Life (years)
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10/8/2019
Segmented Remaining Life (years)
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10/8/2019
US-28 Project-Level Segment Analysis
Remaining Life
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10/8/2019
US-28 Project-Level Segment Analysis
Remaining Life Structural Number
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10/8/2019
US-28 Project-Level Segment Analysis
Remaining Life Structural NumberSubgrade
Modulus, Mr
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Use of Structure Data inPavement Management
• Incorporate Data into PMS database - (ITD TAMS uses Agile Assets)
•Decision Rules - Add structure parameters to supplement surface distress
•Performance Curves - modify existing curves using structure data
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Typical PMS Decision Rule
•Distress index based on fatigue cracking, patching, and edge cracking
DI < 25 Treatment = Reconstruction
25 <= DI < 40 Treatment = Rehabilitation
40 <= DI < 60 Treatment = Restoration
60 <= DI < 75 Treatment = Resurfacing
DI > 75 Treatment = No treatment
Flexible Distress Index (DI) Decision Tree
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Add Structural Capacity Decision Tree
•Add Decision Rules based on Required Overlay Thickness (OL) and subgrade modulus Mr
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TSD Roadway Structure Data in PMS
•Standard Performance Curves
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TSD Roadway Structure Data in PMS
•Modified Performance Curves
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Life-Cycle Simulation for 217 Segments
•Evaluate decisions and resource allocation 1. Treatment options using surface distress only2. Treatment options adding structure data to the
treatment decision trees
•Compare the two over a 50-year life cycle
•Examine the benefit
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10/8/2019
Life Cycle Modeling per Pavement Segment
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50 year ‘Network’ Life Cycle Results217 sections (735 miles) analyzed
Benefit
• Est. Cost Savings Using Structure Data : $15,572,100
• $15,572,100/735 miles = $21,186/mile over 50 years
Cost/Benefit
• If ITD collects this data every 5 years, then:
$21,186/10 = $2,118/mile per rating cycle in savings
•Assume data collection cost is $300/mile
• Return on Investment (ROI) = $2,118/$300 = ~7
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Summary of TSD + GPR
• Combination of TSD and GPR has been demonstrated for determining network-level roadway structure data
• Process has been completed on over 1000 miles of roadway
• Resulting data is available via a statewide geodatabase
• Results support network overview and project planning
•Use of results in PMS can produce significant cost savings
• These results will be extended statewide using additional TSD data provided by the pooled fund study