A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Monitoring-Based Decision Support System for Risk Management of Bridge Scour
Scour is by far the leading cause of bridge failure worldwide. Nevertheless, practical applications of scour monitoring systems are still limited because transport agencies rely on visual inspections to identify the bridges at scour risk. Moreover, the decision of whether to close a bridge to traffic or not is based on the comparison between the water level and critical water level markers, which are very rough indicators of bridge scour risk. There is a need of methodologies to supplement the agencies’ decision process with clear information about scour to support them in taking the optimal decision about their assets.
This paper illustrates the development and application of a decision support system (DSS) for bridge scour management, aiming to extend current procedures by incorporating (i) the various sources of uncertainty characterizing the scour estimation, and (ii) information from scour sensors. The SHM- and event-based DSS, which is based on a probabilistic framework for the estimation of the scour risk, can be used to produce measurement-informed scour thresholds triggering bridge closure to traffic under heavy floods. The DSS is applied to a network of three bridges in south-west Scotland, under a heavy flood scenario. It is shown that information from scour sensors allows a reduction of the uncertainty in the scour estimates and the proposed DSS provides higher values of the critical scour level triggering bridge closure to traffic compared to the one defined by transport agencies based on current risk rating procedures.
Monitoring-Based Decision Support System for Risk Management of Bridge Scour
Scour is by far the leading cause of bridge failure worldwide. Nevertheless, practical applications of scour monitoring systems are still limited because transport agencies rely on visual inspections to identify the bridges at scour risk. Moreover, the decision of whether to close a bridge to traffic or not is based on the comparison between the water level and critical water level markers, which are very rough indicators of bridge scour risk. There is a need of methodologies to supplement the agencies’ decision process with clear information about scour to support them in taking the optimal decision about their assets.
This paper illustrates the development and application of a decision support system (DSS) for bridge scour management, aiming to extend current procedures by incorporating (i) the various sources of uncertainty characterizing the scour estimation, and (ii) information from scour sensors. The SHM- and event-based DSS, which is based on a probabilistic framework for the estimation of the scour risk, can be used to produce measurement-informed scour thresholds triggering bridge closure to traffic under heavy floods. The DSS is applied to a network of three bridges in south-west Scotland, under a heavy flood scenario. It is shown that information from scour sensors allows a reduction of the uncertainty in the scour estimates and the proposed DSS provides higher values of the critical scour level triggering bridge closure to traffic compared to the one defined by transport agencies based on current risk rating procedures.
Monitoring-Based Decision Support System for Risk Management of Bridge Scour
Lecture Notes in Civil Engineering
Pellegrino, Carlo (editor) / Faleschini, Flora (editor) / Zanini, Mariano Angelo (editor) / Matos, José C. (editor) / Casas, Joan R. (editor) / Strauss, Alfred (editor) / Tubaldi, Enrico (author) / Maroni, Andrea (author) / McDonald, Hazel (author) / Zonta, Daniele (author)
International Conference of the European Association on Quality Control of Bridges and Structures ; 2021 ; Padua, Italy
2021-12-12
8 pages
Article/Chapter (Book)
Electronic Resource
English
Managing bridge scour risk using structural health monitoring
| TIBKAT | 2019
| British Library Conference Proceedings | 1999
Web-Based Real Time Bridge Scour Monitoring System for Disaster Management
| DOAJ | 2014