Accelerated Foundation Repair/retrofits For Capacity Upgradation And Strengthening

The anticipated research output will be a state-of-art compilation of efforts at bridge foundations reuse based upon capacity upgradation and strengthening using mini-/micro-pile retrofits. The aim of the effort will be to enable standardization of such efforts leveraging data science and soil-structure interaction mechanics guided artificial intelligence (AI) approaches. The research will prepare preliminary data for systematic development of construction techniques, materials selection, and capacity estimation methodologies that are compatible with superstructure design. The novel technologies to be pursued in the proposed work is twofold: (1) novel probabilistic soil-structure interaction method for harmonization with load and resistance factor design (LRFD) superstructure design, and (2) development of AI/machine learning (ML) ready database of mini-/micro-pile retrofits of bridge foundations.

    Language

    • English

    Project

    • Status: Active
    • Funding: $105000
    • Sponsor Organizations:

      Accelerated Bridge Construction University Transportation Center (ABC-UTC)

      Florida International University
      10555 W. Flagler Street
      Miami, FL  United States  33174

      Office of the Assistant Secretary for Research and Technology

      University Transportation Centers Program
      Department of Transportation
      Washington, DC  United States  20590
    • Start Date: 20240101
    • Expected Completion Date: 20250630
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers

    Subject/Index Terms

    Filing Info

    • Accession Number: 01924834
    • Record Type: Research project
    • Source Agency: Accelerated Bridge Construction University Transportation Center (ABC-UTC)
    • Files: UTC, RIP
    • Created Date: Jul 21 2024 2:54PM