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
• Funding: $64,991.00
• Contract Numbers:

  69A3552348333

• Sponsor Organizations:

  University of Illinois, Urbana-Champaign

  Department of Civil and Environmental Engineering
  Newmark Civil Engineering Laboratory
  Urbana, IL  United States  61801-2352

  Office of the Assistant Secretary for Research and Technology

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

  Transportation Infrastructure Precast Innovation Center (TRANS-IPIC)

  University of Illinois at Urbana-Champaign
  Urbana, IL  United States  61801
• 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
• USDOT Program: University Transportation Centers
• USDOT Program: University Transportation Centers Program
• 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 (TRANS-IPIC)
• Contract Numbers: 69A3552348333
• Files: UTC, RIP
• Created Date: Jan 22 2025 11:53AM