Design and Implementation of Digital Twin Models for Continuous Monitoring and Performance Prediction of Precast Concrete Bridges
This research project aims to design and validate a digital twin model of a precast concrete bridge structure, subsequently integrating this model with sensor data derived from a real-world bridge. This integration will serve as the foundation for driving the simulation and analysis of the bridge model. The digital twin model will be constructed utilizing NVIDIA Omniverse, an innovative platform that facilitates the creation of collaborative and immersive 3D objects, equipped with real-time simulation capabilities. Once developed, this model will play a focal role in the monitoring of bridge structures. It will empower researchers with the ability to rapidly assess infrastructure and conduct predictive analysis. This will be achieved by combining sensor and environmental data with the simulation, thereby fostering a comprehensive understanding of the bridge's structural integrity and potential future scenarios.
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:
Kindratenko, Volodymyr
Andrawes, Bassem
- Start Date: 20230901
- Expected Completion Date: 20240831
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Concrete bridges; Data fusion; Digital displays; Precast concrete; Sensors; Structural health monitoring
- Subject Areas: Bridges and other structures; Data and Information Technology; Highways; Maintenance and Preservation;
Filing Info
- Accession Number: 01893422
- Record Type: Research project
- Source Agency: Transportation Infrastructure Precast Innovation Center
- Files: UTC, RIP
- Created Date: Sep 18 2023 10:00PM