Informing Predictions from Above with Data and Below: AI-Driven Seismic Ground-Failure Model for Rapid Response and Scenario Planning

Soil liquefaction is a significant threat to post-earthquake mobility across nearly all modes of transportation. This Small Project will develop an open source, high-resolution model to probabilistically predict liquefaction regionally - at no cost to the user - both in future scenario earthquakes (to inform mitigation and planning) or immediately following an event (to inform response and recovery). This model will: (1) predict subsurface test measurements via remotely-sensed predictor variables and machine- and/or deep-learning models; (2) be anchored to a mechanics-based framework for predicting liquefaction via subsurface test data, thus physically constraining the predictions; (3) have rapid capabilities, providing regional predictions minutes after an earthquake. The model would first be implemented in PacTrans Region 10 using PNW data, but would be scalable to a larger study, and transferrable globally. In addition to providing the model to the transportation industry (via matlab and python code, and as windows-executable software), the project will use the model to simulate Region 10 events.


    • English


    • Status: Active
    • Funding: $50000
    • 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:

      Pacific Northwest Transportation Consortium

      University of Washington
      More Hall Room 112
      Seattle, WA  United States  98195-2700
    • Project Managers:

      Maurer, Brett

    • Performing Organizations:

      University of Washington, Seattle

      Civil and Environmental Engineering Department
      201 More Hall, Box 352700
      Seattle, WA  United States  98195-2700
    • Principal Investigators:

      Maurer, Brett

    • Start Date: 20200916
    • Expected Completion Date: 20220915
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers Program

    Subject/Index Terms

    Filing Info

    • Accession Number: 01764504
    • Record Type: Research project
    • Source Agency: Pacific Northwest Transportation Consortium
    • Contract Numbers: 69A3551747110
    • Files: UTC, RIP
    • Created Date: Feb 6 2021 9:42AM