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.

Language

• English

Project

• Status: Active
• Funding: $50000
• Contract Numbers:

  69A3551747110

• 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

• TRT Terms: Artificial intelligence; Earthquakes; Forecasting; Liquefaction; Machine learning; Seismicity; Simulation
• Geographic Terms: Pacific Northwest
• Subject Areas: Geotechnology; Planning and Forecasting; Transportation (General);

Filing Info

• Accession Number: 01764504
• Record Type: Research project
• Source Agency: Pacific Northwest Transportation Consortium
• Contract Numbers: 69A3551747110
• Files: UTC, RiP
• Created Date: Feb 5 2021 5:10PM