Climate-Informed, Data-Driven Precast Concrete Bridge Condition Modeling for Future-Proof Transportation Infrastructure
This research aims to develop a robust, climate-informed, data-driven model to predict and project bridge conditions, with a focus on precast concrete (PC) infrastructure, addressing the impact of climate change on bridge durability. Current models lack comprehensive integration of climate factors, which accelerate deterioration. Using data from the National Bridge Inventory (NBI), National Bridge Elements (NBE), and regional climate and traffic data, advanced statistical and machine learning techniques will assess bridge conditions under future climate scenarios. The case study will project future conditions for PC, reinforced concrete (RC), and steel bridges, identifying high-risk structures and informing maintenance strategies. The outcome will be a validated tool to enhance the durability and extend the life of PC bridges, aligning with Transportation Infrastructure Precast Innovation Center (TRANS-IPIC)/USDOT’s priorities of infrastructure longevity, climate adaptability, and safety, while supporting workforce development and educational goals.
Language
- English
Project
- Status: Active
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Sponsor Organizations:
University of Illinois, Urbana-Champaign
Department of Civil and Environmental Engineering
Newmark Civil Engineering Laboratory
Urbana, IL United States 61801-2352Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Performing Organizations:
University of Illinois, Urbana-Champaign
Department of Civil and Environmental Engineering
Newmark Civil Engineering Laboratory
Urbana, IL United States 61801-2352 -
Principal Investigators:
Cha, Eun
- Start Date: 20250101
- Expected Completion Date: 20251231
- Actual Completion Date: 0
- Subprogram: University Transportation Centers
Subject/Index Terms
- TRT Terms: Climate change; Concrete bridges; Durability; Machine learning; Precast concrete; Predictive models; Reinforced concrete bridges; Steel bridges
- Subject Areas: Bridges and other structures; Highways; Maintenance and Preservation; Planning and Forecasting;
Filing Info
- Accession Number: 01943055
- Record Type: Research project
- Source Agency: Transportation Infrastructure Precast Innovation Center
- Files: UTC, RIP
- Created Date: Jan 22 2025 11:53AM