Development of Regional Pavement Performance Database for Validation & Local Calibration of the Predicted Models Used in the New AASHTO Pavement Design Guide

Available Documents
Quarterly Report March 2006
Quarterly Report June 2006
Quarterly Report September 2006
Quarterly Report December 2006
Quarterly Report March 2007
Sensitivity Analysis
Validations and Local Calibration

Primary Investigator
Hussain Bahia, Professor
UW-Madison
3350 Engineering Hall
1415 Engineering Drive
Madison, WI 53706-1691
bahia[at]engr.wisc.ed

Teresa Adams, Director
Midwest Regional University Transportation Center
1415 Engineering Drive
2205 Engineering Hall
Madison, WI 53706
adams[at]engr.wisc.edu

Project Objective
To develop pavement database for calibration of M-E design that will be used in Wisconsin.

Project Abstract
This project will create a database for use in calibrating the factors, which are used to predict pavement performance, in the M-E design guide. Data will be collected from multiple states including Illinois, Indiana, Iowa, Michigan, Minnesota, Ohio, and Wisconsin. The data required in this study will be based on the final report of the NCHRP project 37-1A. Since pooling of data from states with similar climates is more efficient, this study will focus on the Midwest region. This study will expand the number of pavement sections in Midwest region and develop pavement database for calibration of Mechanical-Empirical Pavement design (M-E design). It is expected that the extended database could result in a more precise calibration factors for the implementation of the design guide in the Midwest region.

Task Descriptions

  1. Analysis Conditions
    • State Code
    • SHRP Identification Number
    • State
    • Project Type
    • Pavement Type
    • Base/Subgrade Construction Completion Date
    • Asphalt Construction Completion Date
    • Traffic Opening Date
    • Design Period
  2. Pavement Lane Properties
    • Lane Width
    • Pavement Slope
    • Initial IRI
    • Thermal Conductivity
    • Heat Capacity
    • Surface Short Wave Absorptivity
  3. Environmental/Climatic
    • Latitude
    • Longitude
    • Elevation
    • Groundwater Table Depth
  4. Pavement Structure
    • Number of Layers
    • Layer Number
    • Layer Type
    • Representative Thickness
  5. Aggregate Gradation for Asphalt Mix
    • Layer Number
    • Layer Type
    • Percentage Retained ¾” Sieve
    • Percentage Retained 3/8″ Sieve
    • Percentage Retained #4 Sieve
    • Percentage Passing #200 Sieve
  6. Effective Binder Content by Volume at Time of Construction
    • Layer Number
    • Layer Time
    • Binder Content by Weight, Pb
    • Specific Gravity of the Binder, Gb
    • Bulk Specific Gravity of the Mix, Gmb
    • Maximum Theoretical Specific Gravity of the Mix, Gmm
    • Bulk Specific Gravity of the Aggregate, Gsb
    • Effective Specific Gravity of the Aggregate, Gse
    • Effective Binder Content by Volume at Time of Construction, Vbe
  7. Original Air Voids (at Time of Construction) and Total Unit Weight
    • Layer Number
    • Layer Type
    • Air Voids at Age = t
    • Age = t
    • Mean Annual Air Temperature, Maat
    • Original Viscosity at 77 oF
    • Original Air Voids
    • Total Unit Weight
  8. Asphalt Binder Data
    • Layer Number
    • Layer Type
    • Viscosity Grade
    • Penetration Grade
    • Penetration at 77F
    • Viscosity at 140F
    • Viscosity at 275F
  9. Unbound Materials Data
    • Layer Number
    • Layer Type
    • Dry Thermal Conductivity
    • Dry Heat Capacity
    • Liquid Limit
    • Plastic Limit
    • Plasticity Index
    • Percent Passing #200 Sieve
    • Percent Passing #4 Sieve
    • Diameter D60
    • Optimum Moisture Content from LTTP Database
    • Estimated Optimum Moisture Content for Level 3 Analysis
    • Maximum Dry Unit Weight from LTPP Database
    • Estimated Maximum Dry Unit Weight for Level 3 Analysis
    • Specific Gravity of Solids
    • Saturated Hydraulic Conductivity
    • AASHTO Soil Classification
    • Unified Soil Classification System (USCS) Classification
    • Estimated Resilient Modulus based on AASHTO Soil Classification
  10. Distress Data – Rutting
    • Survey Date
    • Maximum displacement between reference wire line and pavement surface in left lane half, LLH-Depth Mean, in inches
    • Maximum displacement between reference wire line and pavement surface in right lane half, RLH-Depth Mean, in inches
    • Maximum value of LLH-Depth Mean or RLH-Depth Mean, in inches
    • Average displacement between reference wire line and pavement surface between
    • left lane half and right lane half data, in inches
  11. Distress Data – Alligator Cracking
    • Survey Date
    • Area of low severity alligator cracking, in ft2
    • Area of medium severity alligator cracking, in ft2
    • Area of high severity alligator cracking, in ft2
    • Total Sum alligator cracking, in ft2
  12. Distress Data – Longitudinal Cracking in the Wheel Path
    • Length of low severity longitudinal cracking in the wheel path, in ft
    • Length of medium severity longitudinal cracking in the wheel path, in ft
    • Length of high severity longitudinal cracking in the wheel path, in ft
    • Total Sum alligator cracking, in ft
  13. Distress Data – Thermal Cracking
    • Length of low severity transverse cracking in the wheel path, in ft
    • Length of medium severity transverse cracking in the wheel path, in ft
    • Length of high severity transverse cracking in the wheel path, in ft
    • Weighted average, in ft
  14. Summary of Distress Data Available
    • Distress data available for each selected sections

Project Information

  • Milestones, Dates: Start Date: November 1, 2005 – End Date: December 31, 2006;
  • Project Contract Termination date will be March 31, 2006.
  • Budget: $ 50,000, Matching Funds & %: ****
  • Student Involvement: Two project assistants will work on the project from November 2005 to December 2006 with student hourly employees during the Summer of 2006
  • Modal Orientation: Highway
  • Project ID: 07-01