Real-Time Prediction of Storm Surge and Wave Loading on Coastal Bridges

According to the Federal Highway Administration (FHWA), almost 36,000 bridges are located within 15 miles of the United States coastline. Many of these coastal bridges are vulnerable to storm surge and hurricane wave forces, and this is expected to worsen with rising sea levels associated with changing climate. The primary goal of this proposal is to lay the ground work for the development of tools and techniques for rapid prediction of storm surge and wave effects on coastal bridges. The intended outcome of the project is to develop a computational platform for the rapid prediction of joint storm surge and wave loadings on coastal bridges, using storm parameters (e.g., size, intensity and translational speed) as inputs. The computational tool could also be used in real time by first responders in the event of storm-surge flooding due to extreme wind storms such as hurricanes and Nor’easters, by DOTs and state and local Offices of Emergency Services for scenario planning, and by engineers and planners for risk assessment.


  • English


  • Status: Active
  • Funding: $176256
  • 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:


    77 Water Street
    New York, NY  United States  10005

    Center for Advanced Infrastructure and Transportation

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

    Carter, Matt

    Szary, Patrick

  • Performing Organizations:

    University at Buffalo - SUNY

    221 Ketter Hall
    Buffalo, NY  United States  14260
  • Principal Investigators:

    Sett, Kallol

    Wu, Teng

  • Start Date: 20200101
  • Expected Completion Date: 20201231
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01749474
  • Record Type: Research project
  • Source Agency: Center for Advanced Infrastructure and Transportation
  • Contract Numbers: 69A3551847102, CAIT-UTC-REG33
  • Files: UTC, RIP
  • Created Date: Aug 27 2020 5:28PM