ABSTRACT
The Bogibeel Bridge in India, spanning the Brahmaputra River, is a 4.94 km rail-cum-road bridge pivotal for Northeast India’s infrastructure. Its design incorporates 41 spans with steel truss girders and a concrete slab. This paper focuses on the bridge’s advanced Structural Health Monitoring (SHM) system, which employs around 920 sensors for continuous monitoring of key structural aspects like strain, temperature, vibration, and displacement. A critical feature of this SHM system is its integration with the bridge’s asset management, allowing automated reporting and alarms based on data analysis for proactive maintenance. This innovative approach combines sensor-based data, cloud computing, and automated analytics to move maintenance from reactive to predictive, enhancing operational efficiency, safety, and cost-effectiveness. By early detection of structural issues, it ensures timely intervention, minimizing downtime. The adopted approach to the SHMS on the bridge, significantly improves safety, efficiency, and cost-effectiveness, demonstrating a pioneering model for smart infrastructure management.
