SPR-4526: Predictive Analytics for Quantifying the Long-Term Cost of Defects During Bridge Construction

Inspecting bridges during construction and in service, and ensuring quality construction prior to acceptance and proper maintenance, are critical to the lifecycle performance of the structure. The goal of this project is to develop predictive analytics that would allow a more effective asset management. This approach will be demonstrated using concrete bridge decks as an illustrative example. The project will provide the knowledge and tools needed to estimate the costs associated with the consequences of defects occurring during construction (i.e., substandard quality), and weigh those against cost and expected performance of additional measures that can be taken to reduce such defects (e.g., improved inspection procedures).


    • English


    • Status: Completed
    • Funding: $197291
    • Contract Numbers:


    • Sponsor Organizations:

      Purdue University/Indiana Department of Transportation JHRP

      Purdue University
      1284 Civil Engineering Building, Room 4154
      West Lafayette, IN  United States  47907-1284
    • Principal Investigators:

      Dyke, Shirley

      Ramirez, Julio

    • Start Date: 20201201
    • Expected Completion Date: 20221130
    • Actual Completion Date: 20221130

    Subject/Index Terms

    Filing Info

    • Accession Number: 01751894
    • Record Type: Research project
    • Source Agency: Indiana Department of Transportation
    • Contract Numbers: SPR-4526
    • Files: RIP, STATEDOT
    • Created Date: Sep 16 2020 11:23AM