Investigating the Applicability of Multi-Fidelity Modeling to Condition Evaluation of Transportation Infrastructure

Evaluating the condition of transportation assets such as bridges is a critical and resource intensive part of the asset management process. Furthermore, information about the condition of assets may come from a variety of sources and some of the techniques that provide the greatest level of detail about condition are too time consuming or expensive to be practically applied to all structures. This research study will investigate the application of multi-fidelity modeling to evaluating the condition of transportation assets. Multi-fidelity modeling combines expensive high-fidelity data with low cost low-fidelity data to provide better predictions of condition at a lower cost. The objectives of this project are to, first, study ways of grouping bridges (or other assets) to allow for multi-fidelity modeling of a group; second, apply multi-fidelity modeling techniques using existing data sources; and third, evaluate the efficacy of multi-fidelity modeling in the context of transportation asset management considering the accuracy of predictions and lifecycle cost implications.


  • English


  • Status: Active
  • Funding: $123000
  • Contract Numbers:


  • 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:

    Mountain-Plains Consortium

    North Dakota State University
    Fargo, ND  United States  58108
  • Project Managers:

    Tolliver, Denver

  • Performing Organizations:

    Dept. of Civil and Environmental Engineering

    Colorado State University
    Fort Collins, CO  United States 
  • Principal Investigators:

    Atadero, Rebecca

    Guo, Yanlin

  • Start Date: 20200218
  • Expected Completion Date: 20240731
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program
  • Source Data: MPC-618

Subject/Index Terms

Filing Info

  • Accession Number: 01732678
  • Record Type: Research project
  • Source Agency: Mountain-Plains Consortium
  • Contract Numbers: 69A3551747108
  • Files: UTC, RIP
  • Created Date: Mar 3 2020 9:13PM