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Bridge Health Monitoring: A Review of Utilizing the Internet of Things, Digital Twin, and Advanced Technologies
Structural monitoring of bridges is commonly carried out using conventional methods. However, with the advancements in the internet of things (IoT) and digital twin (DT) technologies, this process has been revolutionized. The implementation of IoT enables enhanced sustainability by monitoring various parameters through interconnected devices and sensors. Simultaneously, DT technology creates a synchronized virtual representation of the physical bridges, improving safety, maintenance, and decision-making. This review paper explores foundational concepts of IoT and DT in bridge monitoring, discussing the synergy between DT and IoT for heightened precision in damage detection. It also covers innovative methodologies such as photogrammetry, terrestrial laser scanning, ground penetrating radar, building information modeling, and unmanned aerial vehicles/drones. These methodologies produce detailed 3D models, improving precision, practicality, and efficacy in the monitoring process. The paper serves as a guide for researchers and practitioners, illustrating a progression from foundational concepts to the state-of-the-art technologies. This envisions a future where bridges are monitored with unprecedented accuracy to ensure safer and more resilient infrastructure on a global scale.
Bridge Health Monitoring: A Review of Utilizing the Internet of Things, Digital Twin, and Advanced Technologies
Structural monitoring of bridges is commonly carried out using conventional methods. However, with the advancements in the internet of things (IoT) and digital twin (DT) technologies, this process has been revolutionized. The implementation of IoT enables enhanced sustainability by monitoring various parameters through interconnected devices and sensors. Simultaneously, DT technology creates a synchronized virtual representation of the physical bridges, improving safety, maintenance, and decision-making. This review paper explores foundational concepts of IoT and DT in bridge monitoring, discussing the synergy between DT and IoT for heightened precision in damage detection. It also covers innovative methodologies such as photogrammetry, terrestrial laser scanning, ground penetrating radar, building information modeling, and unmanned aerial vehicles/drones. These methodologies produce detailed 3D models, improving precision, practicality, and efficacy in the monitoring process. The paper serves as a guide for researchers and practitioners, illustrating a progression from foundational concepts to the state-of-the-art technologies. This envisions a future where bridges are monitored with unprecedented accuracy to ensure safer and more resilient infrastructure on a global scale.
Bridge Health Monitoring: A Review of Utilizing the Internet of Things, Digital Twin, and Advanced Technologies
Springer Tracts in Civil Engineering
Jahangir, Hashem (editor) / Arora, Harish Chandra (editor) / Dos Santos, José Viriato Araújo (editor) / Kumar, Krishna (editor) / Kumar, Aman (editor) / Kapoor, Nishant Raj (editor) / Hasani, Hamed (author) / Freddi, Francesco (author)
Damage Detection and Structural Health Monitoring of Concrete and Masonry Structures ; Chapter: 15 ; 423-447
2025-03-22
25 pages
Article/Chapter (Book)
Electronic Resource
English
Bridge structural health monitoring (BSHM) , Internet of things (IoT) , Digital twin (DT) , Light detection and ranging (LiDAR) , Unmanned arial vehicle (UAV) , Ground penetrating radar (GPR) , Terrestrial laser scanning (TLS) , Building information modeling (BIM) , Smart infrastructures Engineering , Building Construction and Design , Cyber-physical systems, IoT , Professional Computing , Building Repair and Maintenance , Fire Science, Hazard Control, Building Safety
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