A Vehicle-Integrated Approach to Digital Twin Deployment for Bridges Through Drive-By Sensing
A neural operator digital twin was trained using simulated and field data to monitor a steel truss bridge during drive-by vehicle crossings. The model successfully predicted structural responses and accurately identified damaged members in 102 out of 116 test cases, demonstrating a scalable method for continuous, non-invasive bridge health assessment.