Combining Model Based and Data Based Techniques in a Robust Bridge Health Monitoring Algorithm

In the study, the ultimate goal is to develop and validate, through numerical and experimental test data, a robust scheme for continuous health monitoring of bridges. This will be accomplished in two stages. In the first stage, two individual model-based and data based health monitoring methods will be developed, which will address within a probabilistic framework, the limitations imposed by real-life applications identified in the preceding paragraphs. In the second stage, a unified method will be developed, which will involve an iterative co-operation between the model-based and data based techniques, each performing in their own domain of comparative advantage. Additionally, sufficient effort will be devoted to making the unified iterative algorithm computationally efficient. It is expected that the results of this proposal will be of great use for the entire infrastructure engineering community.


  • English


  • Status: Completed
  • Funding: $162432.00
  • Contract Numbers:



  • Sponsor Organizations:

    Parsons Brinckerhoff, Incorporated

    New York, NY  United States 

    Center for Advanced Infrastructure and Transportation

    Rutgers University
    100 Brett Rd
    Piscataway, NJ  United States  08854-8058
  • Project Managers:

    Khazem, Dyab

    Szary, Pat

  • Performing Organizations:

    Columbia University

    610 SW Mudd
    500W 120th Street
    New York, New York  United States  10027
  • Principal Investigators:

    Betti, Raimondo

  • Start Date: 20121101
  • Expected Completion Date: 0
  • Actual Completion Date: 20140831
  • Source Data: RiP Project 33449

Subject/Index Terms

Filing Info

  • Accession Number: 01541244
  • Record Type: Research project
  • Source Agency: Center for Advanced Infrastructure and Transportation
  • Contract Numbers: DTRT12-G-UTC16, CAIT-UTC-015
  • Files: UTC, RiP
  • Created Date: Oct 21 2014 1:01AM