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Bayesian approach for the reliability assessment of corroded interdependent pipe networks

机译:贝叶斯方法在腐蚀相互依赖的管网可靠性评估中的应用

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摘要

Pipelines under corrosion are subject to various environment conditions, and consequently it becomes difficult to build realistic corrosion models. In the present work, a Bayesian methodology is proposed to allow for updating the corrosion model parameters according to the evolution of environmental conditions. For reliability assessment of dependent structures, Bayesian networks are used to provide interesting qualitative and quantitative description of the information in the system. The qualitative contribution lies in the modeling of complex system, composed by dependent pipelines, as a Bayesian network. The quantitative one lies in the evaluation of the dependencies between pipelines by the use of a new method for the generation of conditional probability tables. The effectiveness of Bayesian updating is illustrated through an application where the new reliability of degraded (corroded) pipe networks is assessed. (C) 2016 Elsevier Ltd. All rights reserved.
机译:腐蚀下的管道会受到各种环境条件的影响,因此很难建立实际的腐蚀模型。在当前工作中,提出了一种贝叶斯方法,以允许根据环境条件的变化来更新腐蚀模型参数。对于相关结构的可靠性评估,贝叶斯网络用于提供系统中信息的有趣的定性和定量描述。在质量上的贡献在于将复杂的系统建模为由贝叶斯网络组成的复杂系统,这些系统由从属管道组成。定量的在于使用新的方法生成条件概率表来评估管道之间的依赖性。贝叶斯更新的有效性通过评估退化(腐蚀)管网的新可靠性的应用进行了说明。 (C)2016 Elsevier Ltd.保留所有权利。

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