Event | Vibration and Vision Based Structural Health Monitoring of Bridge

Session Overview

Most bridge inspection programs still run on manual visual checks and periodic NDT testing. Both depend on the inspector's access, timing, and judgment, which means internal deterioration goes unnoticed between visits and inspection data stays disconnected from the bridge's actual dynamic behavior. This session presents an integrated approach that pairs drone based vision inspection with sensor based vibration monitoring, combining what a camera sees on the surface with what sensors measure structurally. Together they form the basis for AI driven digital twins that support predictive maintenance instead of reactive repair.

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Who Should Attend

Structural and bridge engineers responsible for inspection and condition assessment
Infrastructure asset managers evaluating SHM technology adoption
Civil engineers working on aging bridge networks where manual inspection cycles are no longer sufficient

Learning Objectives

📌How drone based vision inspection detects and quantifies surface defects using deep learning

📌How vibration monitoring reveals structural changes that surface inspection cannot capture

📌How fusing vision and vibration data into a digital twin supports predictive maintenance planning

Good to Know

Vision based inspection
- Drones equipped with RGB, thermal, and LiDAR sensors capture bridge surface data. CNN and YOLO based deep learning models process this data to detect cracks, corrosion, and spalling automatically.

Vibration based monitoring
- Accelerometers and wireless sensor networks record how a bridge responds to everyday loads. Modal analysis methods such as OMA, FDD, and SSI extract frequency and damping changes that reveal structural issues invisible to the eye.

Digital twin integration
- Vision and vibration data are fused into a continuously updated virtual model of the bridge, enabling damage localization and predictive maintenance planning.

Speaker

Dr Dilip Pasupuleti

Associate Professor of Mahindra University

He is the founder of the Center for Sustainable Infrastructure and Systems (CSIS), an interdisciplinary center pairing civil engineering with computer science, the same combination behind the vision and vibration fusion methods covered in this session. His lecture series on automatic bridge inspection using UAVs and AI has reached audiences across India through more than 400 invited talks.