Nondestructive Pavement Evaluation Using Illi-Pave Based Artificial Neural Network Models

Evaluating structural condition of existing, in-service pavements is a part of the routine maintenance and rehabilitation activities undertaken at the Illinois Department of Transportation (IDOT). In the field, the pavement deflection profiles gathered from the FWD test data are typically used to evaluate pavement structural conditions. The objective is to develop Artificial Neural Network (ANN) models based on the ILLIPAVE finite element solutions as a pavement evaluation toolbox for rapidly and more accurately back-calculating pavement layer properties and predicting critical responses of in-service pavements in real time from the measured FWD deflection data.


    • English


    • Status: Completed
    • Contract Numbers:


    • Sponsor Organizations:

      Illinois Department of Transportation

      2300 S. Dirksen Parkway
      Springfield, IL  United States  62764
    • Performing Organizations:

      University of Illinois, Urbana-Champaign

      1105 Newmark Civil Engineering Lab, 205 North Matthews Avenue
      Urbana, IL  United States  61801
    • Principal Investigators:

      Thompson, Marshall

      Tutumluer, Erol

    • Start Date: 20050500
    • Expected Completion Date: 0
    • Actual Completion Date: 20070600
    • Source Data: RiP Project 13356

    Subject/Index Terms

    Filing Info

    • Accession Number: 01460396
    • Record Type: Research project
    • Source Agency: Illinois Department of Transportation
    • Contract Numbers: R39-2
    • Files: RiP
    • Created Date: Jan 3 2013 1:24PM