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Multidimensional risk evaluation of natural gas pipelines based on a multicriteria decision model using visualization tools and statistical tests for global sensitivity analysis

机译:基于多准则决策模型的天然气管道多维风险评估,使用可视化工具和统计测试进行全局敏感性分析

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摘要

Multidimensional risk analysis in pipelines has been addressed in the literature in recent years which has led to a greater understanding of risk in the decision context. A risk assessment model based on different perspectives becomes attractive to decision-makers (DMs) who are responsible for the maintenance of pipelines, and can help to prioritize maintenance efforts, and therefore optimize the use of human financial and other resources. As to the transportation of gas by pipeline, efforts at risk analysis must consider the physical and operational characteristics of the product, failure modes and their consequences, based on each accidental scenario considered. Different parameters are collected and/or estimated in order to produce a recommendation for the DM. Therefore, this paper enhances previous suggestions for a multicriteria decision model that evaluates multidimensional risk by using visualization tools and statistical tests as part of global sensitivity analysis. Simulations are made considering patterns which provide the DM with information about the uncertainty of different groups of parameters for the model. Furthermore, the output of the disturbance can be checked based on Kendall's correlation coefficient. Finally an evaluation can be made graphically of the different rankings of sections, thereby making a more assertive recommendation to the DM.
机译:近年来,管道中的多维风险分析已在文献中得到解决,这使得人们对决策环境中的风险有了更多的了解。基于不同观点的风险评估模型对于负责管道维护的决策者(DM)有吸引力,并且可以帮助确定维护工作的优先级,从而优化人力资源和其他资源的使用。对于通过管道进行的天然气运输,风险分析的工作必须根据所考虑的每种意外情况,考虑产品的物理和操作特性,故障模式及其后果。收集和/或估计不同的参数,以便为DM提出建议。因此,本文增强了先前提出的建议,即通过使用可视化工具和统计测试作为全局敏感性分析的一部分来评估多维风险的多准则决策模型。在考虑模式的情况下进行仿真,这些模式为DM提供了有关模型的不同参数组的不确定性的信息。此外,可以基于肯德尔的相关系数来检查干扰的输出。最后,可以以图形方式对各部分的不同等级进行评估,从而向DM提出更加自信的建议。

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