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The speakers will describe the GeoSHM monitoring system that has been installed on the Forth Road Bridge with support from ESA. They will outline the analysis module that has been developed to process the data including tools to disaggregate the response of the bridge to wind, traffic and temperature and to detect system changes.
The presentation will then focus on the effects of wind on the bridge. As well as summarising the buffeting response to the turbulent wind field, the speakers will consider the effects of uncertainty in the wind field parameters on predictions of the buffeting response and present evidence of significant non-stationary response associated with thunderstorm activity.
Dr Owen is Associate Professor at the University of Nottingham, where he has been for 26 years, serving two terms as Head of Department of Civil Engineering. He is a past chair of the UK Wind Engineering Society and was co-chair of the 6th European and African Conference on Wind Engineering. Dr Owen has published 44 journal papers and made over 90 conference contributions including 3 keynote papers on wind engineering.
Dr Owen has supervised 5 Post-doctoral Research Fellows and 25 PhD students to completion. Dr Owen is a member of the EPSRC college of reviewers, is on the editorial board of Engineering Applications of Computational Mechanics and reviews papers for numerous international journals.
Dr Owen is an expert in the dynamic behaviour of Civil Engineering structures and is particularly interested in their dynamic response to wind, human structure interactions and in the application of dynamic data for structural health monitoring.
Dr Nguyen obtained his PhD degree in Wind Engineering from University of Nottingham in 2017. His PhD research was about modelling vortex-induced vibration of bridge decks by wind tunnel models and CFD simulations.
Dr Nguyen is now a Research Fellow in Faculty of Engineering and working on ESA and Innovate UK projects focusing structural health monitoring of civil engineering infrastructure. He is particularly interested in dynamic response of structures in wind, resilience of infrastructure in extreme events and the application of machine learning for structural health monitoring.
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