Linking Physics-Based Deterioration Model to Field-Based Condition Assessments for Improving Asset Management

The main focus of the project is to establish a link between a physics-based corrosion model and condition rating assessments. This will empower the DOTs to rationally explore the long-term benefits of investments in innovative technologies, such as advanced materials and innovative construction methods. If the framework is implemented on a larger group of bridges, DOTs will be able to better allocate assets by prioritizing bridges for repair and maintenance according to their true vulnerability quantified by the physics-based deterioration models whose results can be directly utilized in structural analyses. The proposed research will provide recommendations for implementing the results into the state bridge management system (BMS). Relevant documentation, along with the detailed report, will be provided to guide the adoption of the new recommendations. The findings of this project are expected to facilitate informed screening and classification of bridges for repair and rehabilitation and explore alternative maintenance scenarios. To allow transfer of results into practice, existing deterioration curves and bridge details of DOTs will be used as input for the framework.

Language

  • English

Project

  • Status: Active
  • Funding: $139615
  • Contract Numbers:

    CAIT-UTC-REG48

    69A3551847102

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    LaBella Associates

    300 State St, Suite 201
    Rochester, NY  United States  14614
  • Project Managers:

    Picard, John

    Szary, Patrick

  • Performing Organizations:

    University of Buffalo

    ,    

    Center for Advanced Infrastructure and Transportation

    Rutgers University
    100 Brett Road
    Piscataway, NJ  United States  08854-8058
  • Principal Investigators:

    Ranade, Ravi

    Okumus, Pinar

    Bai, Yun

  • Start Date: 20210201
  • Expected Completion Date: 20220131
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01776221
  • Record Type: Research project
  • Source Agency: Center for Advanced Infrastructure and Transportation
  • Contract Numbers: CAIT-UTC-REG48, 69A3551847102
  • Files: UTC, RIP
  • Created Date: Jul 7 2021 2:17PM