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This session covers Dr. Venkata Dilip Kumar Pasupuleti's research on vision and vibration based bridge monitoring, including real case studies such as 3D reconstruction of masonry arch bridges, field vibration testing on an actual bridge, and a voice enabled digital twin concept for structural health monitoring.
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Description
Most Structural Health Monitoring approaches treat visual inspection and sensor based monitoring as separate methods.
This session covers Dr. Venkata Dilip Kumar Pasupuleti's research on vision and vibration based bridge monitoring, including real case studies such as 3D reconstruction of masonry arch bridges, field vibration testing on an actual bridge, and a voice enabled digital twin concept for structural health monitoring.
Covered in this session
- Vision based monitoring, 3D reconstruction of real bridges using drones, cameras, and photogrammetry, with damage detection and quantification
- Vibration based monitoring, field vibration testing on an actual bridge, comparing measured results against finite element models
- Digital twins, integrating geometry, material properties, and vibration data into a single structural model
- Talking Bridges, a voice enabled structural health monitoring concept using large language models
- Research outcomes, findings from ongoing bridge health monitoring research
Key Takeaways
How vision based and vibration based monitoring each capture different types of structural information, and where each falls short on its own
How AI driven data fusion combines both data types into a single, more reliable damage assessment
How digital twins connect monitoring data to decision making for predictive maintenance planning
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