Abstract
This paper presents a number of recently installed Structural Health Monitoring (SHM) systems: a) on a 2km double suspension bridge; b) on a long railway viaduct that has experienced cracking; and c) on a steel arch bridge in a seismically active area. Damage detection techniques have been applied based on high-frequency measurements of vibrations, pressure and strain, enabling a proper understanding of the structures’ behaviour to be gained. The diverse range of applications presented, designed in collaboration with structure owners and design engineers, includes damage detection on expansion joints of suspension bridges, crack analysis and correlation with accelerations of high-speed trains, and high-frequency performance monitoring of seismic devices. These case studies, based on both static and dynamic approaches, demonstrate the usefulness and ease of use of such systems, and the enormous gains in efficiency they offer.
Highlights
Monitoring of structures by advanced technologies that allow real-time observations and permit to respond effectively in case of critical conditions is nowadays established practice
This paper presents a number of recently installed Structural Health Monitoring (SHM) systems: a) on a 2km double suspension bridge; b) on a long railway viaduct that has experienced cracking; and c) on a steel arch bridge in a seismically active area
Such practice generally takes the form of automated Structural Health Monitoring systems
Summary
Monitoring of structures by advanced technologies that allow real-time observations and permit to respond effectively in case of critical conditions is nowadays established practice. 25 kHz vibrations are measured at the expansion joints of a double suspension bridge, enabling damage or deterioration to be detected at an early stage by recording the level of accelerations and natural frequencies under traffic. The main purpose of the project is to monitor the condition and performance of the expansion joints due to extensive movement or rotation (basic function), and to detect damage at an early stage by recording the level of accelerations and natural frequencies caused by traffic (advanced function). As a result, unexpected damage can be immediately recognised and notified, enabling the timing of replacement of components to be optimised
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