Towards a real-time Structural Health Monitoring of railway bridges

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Vagnoli, Matteo, Remenyte-Prescott, Rasa and Andrews, John (2017) Towards a real-time Structural Health Monitoring of railway bridges. In: 52nd ESReDA Seminar on Critical Infrastructures Enhancing Preparedness & Resilience for the security of citizens and services supply continuity., 30-31 May 2017, Kaunas, Lithuania.

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Abstract

More than 350,000 railway bridges are present on the European railway network, making them a key infrastructure of the whole railway network. Railway bridges are continuously exposed to changing environmental threats, such as wind, floods and traffic load, which can affect safety and reliability of the bridge. Furthermore, a problem on a bridge can affect the whole railway network by increasing the vulnerability of the geographic area, served by the railway network. In this paper a Bayesian Belief Network (BBN) method is presented in order to move from visual inspection towards a real time Structural Health Monitoring (SHM) of the bridge. It is proposed that the health state of a steel truss bridge is continuously monitored by taking account of the health state of each bridge element. In this way, levels of bridge deterioration can be identified before they become critical, the risk of direct and indirect economic losses can be reduced by defining optimal bridge maintenance works, and the reliability of the bridge can be improved by identifying possible hidden vulnerabilities among different bridge elements.

Item Type:

Conference or Workshop Item (Paper)

RIS ID:

https://nottingham-repository.worktribe.com/output/863951

Keywords:

Real-time monitoring; Structural Health Monitoring; Bayesian Belief Networks; Steel truss bridge

Schools/Departments:

University of Nottingham, UK > Faculty of Engineering

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