Highly Efficient Model Updating for Structural Condition Assessment of Large-scale Bridges

The primary objective of this project is to propose a high-speed, highly efficient model updating technique for structural condition assessment based on the response surface (RS) method, which can be applied to large-scale real-world structures. The specific aims are listed as follows: 1) To improve the RS method by applying a more appropriate approximation function to generate a reliable surrogate model, making the process of generating the surrogate model more quickly and efficiently. A radial basis (RB) function will be a potential candidate; 2) To perform an optimization algorithm, genetic algorithm, on the obtained surrogate model to achieve the optimal physical parameters, such as the cross-sectional areas, Young's modulus of materials and boundary conditions.


  • English


  • Status: Completed
  • Funding: $45000.00
  • Contract Numbers:



  • Sponsor Organizations:

    California Department of Transportation

    1120 N Street
    Sacramento, CA  United States  95814

    Center for Advanced Infrastructure and Transportation

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

    Sikorsky, Charles

    Szary, Pat

  • Performing Organizations:

    University of Texas, El Paso

    Center for Transportation Research
    El Paso, TX  United States  78712-1075
  • Principal Investigators:

    Yan, Guirong (Grace)

  • Start Date: 20121101
  • Expected Completion Date: 0
  • Actual Completion Date: 20140731
  • Source Data: RiP Project 33452

Subject/Index Terms

Filing Info

  • Accession Number: 01552916
  • Record Type: Research project
  • Source Agency: Center for Advanced Infrastructure and Transportation
  • Contract Numbers: DTRT12-G-UTC16, CAIT-UTC-016
  • Files: UTC, RiP
  • Created Date: Feb 6 2015 1:01AM