A framework for probabilistic assessment of clear-water scour around bridge piers
Tubaldi, Enrico and Macorini, Lorenzo and Izzuddin, Bassam A. and Manes, Costantino and Laio, Francesco (2017) A framework for probabilistic assessment of clear-water scour around bridge piers. Structural Safety, 69. pp. 11-22. ISSN 0167-4730 (https://doi.org/10.1016/j.strusafe.2017.07.001)
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Abstract
Scouring at the base of bridge piers is the major cause of bridge collapses worldwide. Computing the scour risk of bridge foundations is therefore key for a correct management and allocation of resources for maintenance and scour mitigation works. Existing risk-assessment models compute the vulnerability of bridge foundations to scour by comparing the equilibrium scour depth associated with peak-flow discharges characterized by a given return period (usually of 100–200 years) with the critical foundation depth of the bridge. This approach neglects completely the history-dependent and time-dependent nature of scour. Yet, it is well known that bridge collapses can often be induced by the accumulation of scour during multiple flood events. This study aims at developing a novel probabilistic framework for the computation of bridge-pier vulnerability to scour using a Markovian approach to account for memory effects in scour development. The paper focuses on the case of local pier scour occurring in clear-water conditions whereby cumulative effects are significant, well understood and known to be the cause of recent reported bridge collapses. A simplified numerical example consisting of an idealised bridge pier in a canal is considered to clarify the application of the proposed framework and to shed light on the effects of some assumptions introduced to simplify the probabilistic scour assessment.
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Item type: Article ID code: 62842 Dates: DateEvent30 November 2017Published3 August 2017Published Online4 July 2017AcceptedSubjects: Technology > Engineering (General). Civil engineering (General) Department: Faculty of Engineering > Civil and Environmental Engineering Depositing user: Pure Administrator Date deposited: 12 Jan 2018 12:17 Last modified: 02 Oct 2024 00:30 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/62842