(University of Illinois at Urbana-Champaign) This project explores the design and implementation of digital twin models for the continuous monitoring and performance prediction of precast concrete (PC) bridges. Leveraging NVIDIA Omniverse, a cutting-edge 3D modeling platform, the research establishes a streamlined methodology for rapidly prototyping digital twin models using engineering drawings, inspection data, and real-world bridge configurations. The study includes case studies of two bridges in Illinois, showcasing the digital twin’s ability to integrate bridge metadata, environmental and condition monitoring data, and inspection imagery into a cohesive digital representation. Additionally, the project extends the digital twin application to precast concrete beam testing, incorporating finite element analysis and crack segmentation into the simulation for enhanced structural assessment and visualization.
