Structural health monitoring of civil infrastructure

Structural health monitoring of civil infrastructure

29 January 2016 | Brownjohn, James
The paper by James Brownjohn, titled "Structural Health Monitoring of Civil Infrastructure," discusses the evolution and applications of Structural Health Monitoring (SHM) in various civil infrastructure projects. SHM is a system designed to monitor the condition and performance of structures, providing timely information to operators for safe and economic operation. The author highlights the historical development of SHM, particularly in large dams, bridges, offshore installations, buildings, nuclear facilities, tunnels, and excavations. Key aspects include data collection, automated systems, intelligent interpretation, and condition assessment. The paper also presents case studies on specific structures, such as the Humber Suspension Bridge, a concrete box-girder bridge in Singapore, a short-span bridge in Singapore, a tall building in Singapore, and an underground railway construction in Singapore. These studies demonstrate the practical applications of SHM in validating designs, tracking structural changes, and ensuring safety and performance. The paper concludes with a discussion on the current state of SHM and future developments, emphasizing the importance of instrumentation, data acquisition, communication systems, and data mining for effective diagnosis of infrastructural health.The paper by James Brownjohn, titled "Structural Health Monitoring of Civil Infrastructure," discusses the evolution and applications of Structural Health Monitoring (SHM) in various civil infrastructure projects. SHM is a system designed to monitor the condition and performance of structures, providing timely information to operators for safe and economic operation. The author highlights the historical development of SHM, particularly in large dams, bridges, offshore installations, buildings, nuclear facilities, tunnels, and excavations. Key aspects include data collection, automated systems, intelligent interpretation, and condition assessment. The paper also presents case studies on specific structures, such as the Humber Suspension Bridge, a concrete box-girder bridge in Singapore, a short-span bridge in Singapore, a tall building in Singapore, and an underground railway construction in Singapore. These studies demonstrate the practical applications of SHM in validating designs, tracking structural changes, and ensuring safety and performance. The paper concludes with a discussion on the current state of SHM and future developments, emphasizing the importance of instrumentation, data acquisition, communication systems, and data mining for effective diagnosis of infrastructural health.
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