Data-driven risk mitigation of cross passage and cavern deformation

This research will use both experimental field monitoring data and adaptive computational modeling - using a data assimilation, inversion/back-calculation approach - to continuously update estimates of in-situ conditions (both in the ground and structure) and therefore enable continuous updating of risk, i.e., dynamic risk assessment and mitigation. The project will utilize data from Seattle Northlink transit tunnel cross passages as well as LA metro tunnel cross passages and caverns. The research team works closely with the project owners, engineers and contractors of these projects.

Language

  • English

Project

  • Status: Active
  • Funding: $630000
  • Contract Numbers:

    69A3551747118

  • Sponsor Organizations:

    University Transportation Center for Underground Transportation Infrastructure

    Colorado School of Mines
    Golden, CO  United States  80401

    Colorado School of Mines

    1500 Illinois St
    Golden, CO  United States  80401

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Colorado School of Mines

    1500 Illinois St
    Golden, CO  United States  80401
  • Performing Organizations:

    Colorado School of Mines

    1500 Illinois St
    Golden, CO  United States  80401
  • Principal Investigators:

    Mooney , Mike

    Gutierrez , Marte

  • Start Date: 20170101
  • Expected Completion Date: 20200531
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01660188
  • Record Type: Research project
  • Source Agency: University Transportation Center for Underground Transportation Infrastructure
  • Contract Numbers: 69A3551747118
  • Files: UTC, RiP
  • Created Date: Feb 3 2018 10:00PM