Enhanced Bayesian Network approach to sea wave overtopping hazard quantification

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  • University of Liverpool
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Original languageEnglish
Title of host publicationSafety and Reliability of Complex Engineered Systems
Subtitle of host publicationProceedings of the 25th European Safety and Reliability Conference, ESREL 2015
EditorsLuca Podofillini, Bruno Sudret, Božidar Stojadinović, Enrico Zio, Wolfgang Kröger
Pages1983-1990
Number of pages8
Publication statusPublished - 2015
Externally publishedYes
Event25th European Safety and Reliability Conference, ESREL 2015 - Zurich, Swaziland
Duration: 7 Sept 201510 Sept 2015

Abstract

A novel, generally applicable and efficient framework for the quantification of the wave overtopping hazard is proposed. The approach adopted for the model implementation relies on the use of Bayesian Networks enhanced with System Reliability methods. The methodology ensures large flexibility in terms of representation of the uncertainties of the inputs (exact, probabilistic or intervals) as well as of the outputs. Moreover, the flexibility of the approach allows analysing several time scenarios from 2020 to 2100, taking into account different emission projections and their uncertainty. The overall aim of the study is to provide a simple and coherent framework which takes into account the expected sea level rise for the evaluation of future overtopping hazards for existing or planned sea defence structures. The model proposed is then applied to a simple case study, to highlight the advantages and drawbacks of the framework developed.

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Cite this

Enhanced Bayesian Network approach to sea wave overtopping hazard quantification. / Tolo, S.; Patelli, E.; Beer, M.
Safety and Reliability of Complex Engineered Systems: Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015. ed. / Luca Podofillini; Bruno Sudret; Božidar Stojadinović; Enrico Zio; Wolfgang Kröger. 2015. p. 1983-1990.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Tolo, S, Patelli, E & Beer, M 2015, Enhanced Bayesian Network approach to sea wave overtopping hazard quantification. in L Podofillini, B Sudret, B Stojadinović, E Zio & W Kröger (eds), Safety and Reliability of Complex Engineered Systems: Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015. pp. 1983-1990, 25th European Safety and Reliability Conference, ESREL 2015, Zurich, Swaziland, 7 Sept 2015. <https://www.researchgate.net/publication/281863858_Enhanced_Bayesian_Network_approach_to_sea_wave_overtopping_hazard_quantification>
Tolo, S., Patelli, E., & Beer, M. (2015). Enhanced Bayesian Network approach to sea wave overtopping hazard quantification. In L. Podofillini, B. Sudret, B. Stojadinović, E. Zio, & W. Kröger (Eds.), Safety and Reliability of Complex Engineered Systems: Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015 (pp. 1983-1990) https://www.researchgate.net/publication/281863858_Enhanced_Bayesian_Network_approach_to_sea_wave_overtopping_hazard_quantification
Tolo S, Patelli E, Beer M. Enhanced Bayesian Network approach to sea wave overtopping hazard quantification. In Podofillini L, Sudret B, Stojadinović B, Zio E, Kröger W, editors, Safety and Reliability of Complex Engineered Systems: Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015. 2015. p. 1983-1990
Tolo, S. ; Patelli, E. ; Beer, M. / Enhanced Bayesian Network approach to sea wave overtopping hazard quantification. Safety and Reliability of Complex Engineered Systems: Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015. editor / Luca Podofillini ; Bruno Sudret ; Božidar Stojadinović ; Enrico Zio ; Wolfgang Kröger. 2015. pp. 1983-1990
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abstract = "A novel, generally applicable and efficient framework for the quantification of the wave overtopping hazard is proposed. The approach adopted for the model implementation relies on the use of Bayesian Networks enhanced with System Reliability methods. The methodology ensures large flexibility in terms of representation of the uncertainties of the inputs (exact, probabilistic or intervals) as well as of the outputs. Moreover, the flexibility of the approach allows analysing several time scenarios from 2020 to 2100, taking into account different emission projections and their uncertainty. The overall aim of the study is to provide a simple and coherent framework which takes into account the expected sea level rise for the evaluation of future overtopping hazards for existing or planned sea defence structures. The model proposed is then applied to a simple case study, to highlight the advantages and drawbacks of the framework developed.",
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