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Seismic Risk of Infrastructure Systems with Treatment of and Sensitivity to Epistemic Uncertainty

机译:基础设施系统的地震风险与认识性不确定性的治疗和敏感性

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Modern society’s very existence is tied to the proper and reliable functioning of its Critical Infrastructure (CI) systems. In the seismic risk assessment of an infrastructure, taking into account all the relevant uncertainties affecting the problem is crucial. While both aleatory and epistemic uncertainties affect the estimate of seismic risk to an infrastructure and should be considered, the focus herein is on the latter. After providing an up-to-date literature review about the treatment of and sensitivity to epistemic uncertainty, this paper presents a comprehensive framework for seismic risk assessment of interdependent spatially distributed infrastructure systems that accounts for both aleatory and epistemic uncertainties and provides confidence in the estimate, as well as sensitivity of uncertainty in the output to the components of epistemic uncertainty in the input. The logic tree approach is used for the treatment of epistemic uncertainty and for the sensitivity analysis, whose results are presented through tornado diagrams. Sensitivity is also evaluated by elaborating the logic tree results through weighted ANOVA. The formulation is general and can be applied to risk assessment problems involving not only infrastructural but also structural systems. The presented methodology was implemented into an open-source software, OOFIMS, and applied to a synthetic city composed of buildings and a gas network and subjected to seismic hazard. The gas system’s performance is assessed through a flow-based analysis. The seismic hazard, the vulnerability assessment and the evaluation of the gas system’s operational state are addressed with a simulation-based approach. The presence of two systems (buildings and gas network) proves the capability to handle system interdependencies and highlights that uncertainty in models/parameters related to one system can affect uncertainty in the output related to dependent systems.
机译:现代社会非常存在与其关键基础设施(CI)系统的适当和可靠的运作相关联。在基础设施的地震风险评估中,考虑到影响问题的所有相关不确定性至关重要。虽然梯级和认知的不确定性都会影响对基础设施的地震风险的估计,但应考虑,这里的重点是后者。在提供关于对认知不确定性的治疗和敏感性的治疗和敏感性的最新文献综述之后,对渗透和认识性的不确定性占相互依存的空间分布基础设施系统的地震风险评估综合框架,为估计提供了信心,以及输出对输入中的认知不确定性组分的不确定性的敏感性。逻辑树方法用于治疗认知不确定性和敏感性分析,其结果通过龙卷风图呈现。还通过阐述逻辑树结果通过加权ANOVA来评估灵敏度。制剂是一般的,可以应用于风险评估问题,不仅涉及基础设施,还有结构系统。所提出的方法是实施到开源软件,OOFIMS,并应用于由建筑物和天然气网络组成的合成城市,并受到地震危害。通过基于流量的分析评估气体系统的性能。地震危害,脆弱性评估和气体系统运行状态的评估以基于模拟的方法解决。两个系统(建筑物和天然气网络)的存在证明了处理系统相互依赖性的能力,并突出显示与一个系统相关的模型/参数中的不确定性可以影响与依赖系统相关的输出中的不确定性。

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