Original language | English |
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Title of host publication | Advances and Challenges in Structural Engineering |
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Subtitle of host publication | Proceedings of the 2nd GeoMEast International Congress and Exhibition on Sustainable Civil Infrastructures, Egypt 2018 – The Official International Congress of the Soil-Structure Interaction Group in Egypt (SSIGE) |
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Editors | Hugo Rodrigues, Amr Elnashai |
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Publisher or commissioning body | Springer, Cham |
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Pages | 151-166 |
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Number of pages | 16 |
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ISBN (Electronic) | 9783030019327 |
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ISBN (Print) | 9783030019310 |
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DOIs | |
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Date | Accepted/In press - 11 Jul 2018 |
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Date | E-pub ahead of print - 28 Oct 2018 |
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Date | Published (current) - 2019 |
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Name | Sustainable Civil Infrastructures |
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Publisher | Springer, Cham |
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ISSN (Print) | 2366-3405 |
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A fibre-reinforced polymer (FRP) cycle footbridge has been proposed for construction in Bristol, United Kingdom for South Gloucestershire Council. The superstructure will span 54 m, comprising a bowstring carbon fibre-reinforced polymer (CFRP) arch with a 5 m wide glass fibre-reinforced polymer (GFRP) deck supported by stainless steel hangers. Recently, a methodology has been proposed that provides a structured process to assess the value of a structural health monitoring (SHM) system for a bridge prior to deployment. This methodology outputs a simple metric that quantifies the likeliness of an SHM system to yield value to an asset owner. This FRP bridge is used as a case-study to ‘road test’ this process. Two possible systems were considered: a system of accelerometers and a system of strain gauges. From the resulting discussions, a deployment of accelerometers received a value-rating (VR) of 4.2. A strain gauge deployment received 3.7. The scores will contribute to a monitoring specification for the FRP bridge which is currently in the design phase. Expansions to the methodology have also been proposed to better capture the potential value of an SHM system which would be of interest to structural engineers and researchers, in particular to inform model validation and research activities.