University of Strathclyde
Prof Daniele Zonta
Neil Ferguson, John Douglas, Alessandro Tarantino, Dimitry Val
Transport Scotland, Network Rail, SEPA, Arup
High impact low probability event, Inland flooding
The aim of this innovation project is to develop a probabilistic decision-support system based on past flood-induced scour inspection data and rainfall forecast, together with sensor technology to monitor and predict possible failure risks for road and railway bridges in the UK. This will support the project partners in planning future maintenance, repair and rehabilitation strategies.
Paper presented at the Structural Faults & Repair and 17th European Bridge Conference, which took place in Edinburgh (15th-17th May 2018). The article won the Bridge Research Award for the Best Paper by a University Researcher.
Conference paper presented at the 9th European Workshop on Structural Health Monitoring (EWSHM 2018), which took place in Manchester (10th-13th July 2018).
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