Developing Deterioration Curves for Bridge Elements

Bridge management systems (BMSs) in the United States have experienced decades of development. The major player among the systems has been Pontis, now AASHTOWare BrM (BrM). BrM does has a functionality of using collected inspection data to form the transition probability matrix (TPM) as the critical core for forecasting future conditions, based on the Markov Chain model. However, the model assumes a constant TPM over the entire life of the element as well as its memory-less behavior (i.e., the future state depends only on current state but not further earlier states). This process in the software also does not explicitly consider possibly influential variables such as age and traffic but only the condition ratings themselves. The overall objective of this research is to develop reliable deterioration curves based on the element-level inspection data from the Illinois bridge inventory. The resulting deterioration curves will provide the basis for Illinois Department of Transportation to make realistically optimized maintenance, rehabilitation, and repair decisions.

    Language

    • English

    Project

    • Status: Active
    • Funding: $212497
    • Contract Numbers:

      R27-238

    • Sponsor Organizations:

      Illinois Department of Transportation

      Bureau of Materials and Physical Research
      126 East Ash Street
      Springfield, IL  United States  62704-4766
    • Managing Organizations:

      University of Illinois, Urbana-Champaign

      Illinois Center for Transportation
      1611 Titan Drive
      Rantoul, IL  United States  61866
    • Principal Investigators:

      Lin, Jane

    • Start Date: 20210801
    • Expected Completion Date: 20221031
    • Actual Completion Date: 0

    Subject/Index Terms

    Filing Info

    • Accession Number: 01778891
    • Record Type: Research project
    • Source Agency: Illinois Department of Transportation
    • Contract Numbers: R27-238
    • Files: RIP, STATEDOT
    • Created Date: Aug 9 2021 11:04AM