Time-dependent Reliability Analysis of Flood Defence Assets Using Generic Fragility Curve
Nepal, J., Chen, Hua-Peng, Simm, Jonathan and Gouldby, Ben 2016. Time-dependent Reliability Analysis of Flood Defence Assets Using Generic Fragility Curve. E3S Web of Conferences. 7, p. 03014.
|Authors||Nepal, J., Chen, Hua-Peng, Simm, Jonathan and Gouldby, Ben|
Flood defence assets such as earth embankments comprise the vital part of linear flood defences in many countries including the UK and protect inland from flooding. The risks of flooding are likely to increase in the future due to increasing pressure on land use, increasing rainfall events and rising sea level caused by climate change also affect aging flood defence assets. Therefore, it is important that the flood defence assets are maintained at a high level of safety and serviceability. The high costs associated with preserving these deteriorating flood defence assets and the limited funds available for their maintenance require the development of systematic approaches to ensure the sustainable flood-risk management system. The integration of realistic deterioration measurement and reliabilitybased performance assessment techniques has tremendous potential for structural safety and economic feasibility of flood defence assets. Therefore, the need for reliability-based performance assessment is evident. However, investigations on time-dependent reliability analysis of flood defence assets are limited. This paper presents a novel approach for time-dependent reliability analysis of flood defence assets. In the analysis, time-dependent fragility curve is developed by using the state-based stochastic deterioration model. The applicability of the proposed approach is then demonstrated with a case study.
|Journal||E3S Web of Conferences|
|Journal citation||7, p. 03014|
|Digital Object Identifier (DOI)||doi:10.1051/e3sconf/20160703014|
|Web address (URL)||https://doi.org/10.1051/e3sconf/20160703014|
|20 Oct 2016|
|Publication process dates|
|Deposited||14 Mar 2017|
|Copyright information||© 2016 The Authors, published by EDP Sciences.|
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