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ANALYSIS AND OPINION SMART INFRASTRUCTURE


Improving the understanding and capacity of existing assets, by Sam Cocking, CSIC PhD student


I


n 2018 Network Rail commissioned engineering firm AECOM and CSIC to install structural health monitoring (SHM) technologies on a masonry arch bridge in North Yorkshire to monitor how this 150-year-old bridge behaves structurally, since repair work in 2016. Network Rail also wanted to use this opportunity to explore available monitoring technologies, to identify SHM options that could be used as alternatives to the traditional system of deflection pole monitoring for masonry arch assets. AECOM installed an autonomous, remote monitoring system, comprising a range of dynamic point-sensing


technologies including strain gauges and linear potentiometers. CSIC implemented distributed monitoring technologies, including: laser scanning and vibrometry; fibre-optic fibre Bragg gratings (FBGs), for detailed dynamic measurement


“This project provided an important comparison of emerging sensing technologies”


of strains in a variety of configurations across the arch; and videogrammetry to capture dynamic displacements. Figure three shows the devices which were installed on the arch soffit. CSIC also deployed non-contact


Figure three: devices installed on arch soffit


monitoring technologies – laser scanning to obtain detailed information on the visible ‘as- is’ geometry of the bridge, as well as laser vibrometry and videogrammetry to measure magnitudes of its dynamic live load deformations. This project provided an


important comparison of emerging sensing technologies, to allow refinement and optimisation of future bridge monitoring systems, so these can better target the essential information needed to make effective and efficient asset maintenance decisions.


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