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
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Sponsor Organizations:
Accelerated Bridge Construction University Transportation Center (ABC-UTC)
Florida International University
10555 W. Flagler Street
Miami, FL United States 33174Office 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
- TRT Terms: Artificial intelligence; Bridge foundations; Machine learning; Repairing; Retrofitting; Soil structure interaction
- Subject Areas: Bridges and other structures; Data and Information Technology; Highways; Maintenance and Preservation;
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