Design and Implementation of Digital Twin Models for Continuous Monitoring and Performance Prediction of Precast Concrete Bridges

Kindratenko, Volodymyr; Andrawes, Bassem; University of Illinois at Urbana-Champaign. National Center for Supercomputing Applications (NCSA)

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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

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Design and Implementation of Digital Twin Models for Continuous Monitoring and Performance Prediction of Precast Concrete Bridges

2024-12-01
Datasets Available
By Kindratenko, Volodymyr ; Andrawes, Bassem

[PDF-4.81 MB]

English

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Details:

Creators:

Kindratenko, Volodymyr ; Andrawes, Bassem

Kindratenko, Volodymyr ; Andrawes, Bassem Less -
Corporate Creators:

University of Illinois at Urbana-Champaign. National Center for Supercomputing Applications (NCSA)
Corporate Contributors:

Transportation Infrastructure Precast Innovation Center (TRANS-IPIC) Tier-1 University Transportation Center (UTC) ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

Transportation Infrastructure Precast Innovation Center (TRANS-IPIC) Tier-1 University Transportation Center (UTC) ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Concrete Bridges Data Fusion Digital Displays Digital Twin Models Precast Concrete Sensors Structural Health Monitoring
Publication/ Report Number:

UI-23-RP-03
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report (September 2023 - December 2024)
Corporate Publisher:

Transportation Infrastructure Precast Innovation Center (TRANS-IPIC) Tier-1 University Transportation Center (UTC)
Abstract:

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.
Format:

PDF
Funding:

69A3552348333
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha-512:8a97d860f2442f0e6f90a6a9ee64ebaaee77f2af3f51d98884f1a01ccb5af15bcaac0333756f1529dd8fdc8f5fe2638bdad7076184df0f75a8ea5f98ffd7baa2
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https://rosap.ntl.bts.gov/view/dot/80475/dot_80475_DS1.pdf
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Design and Implementation of Digital Twin Models for Continuous Monitoring and Performance Prediction of Precast Concrete Bridges

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