...
首页> 外文期刊>Physica, A. Statistical mechanics and its applications >A network-of-networks percolation analysis of cascading failures in spatially co-located road-sewer infrastructure networks
【24h】

A network-of-networks percolation analysis of cascading failures in spatially co-located road-sewer infrastructure networks

机译:空间共存路下水道基础设施网络中级联故障的网络网络渗透分析

获取原文
获取原文并翻译 | 示例
           

摘要

This paper presents a network-of-networks analysis framework of interdependent critical infrastructure systems, with a focus on the co-located road-sewer network. The constructed interdependency considers two types of node dynamics: co-located and multiple-to-one dependency, with different robustness metrics based on their function logic. The objectives of this paper are twofold: (1) to characterize the impact of the interdependency on networks' robustness performance, and (2) to unveil the critical percolation transition threshold of the interdependent road-sewer network. The results show that (1) road and sewer networks are mutually interdependent and are vulnerable to the cascading failures initiated by sewer system disruption; (2) the network robustness decreases as the number of initial failure sources increases in the localized failure scenarios, but the rate declines as the number of failures increase; and (3) the sewer network contains two types of links: zero exposure and severe exposure to liquefaction, and therefore, it leads to a two-phase percolation transition subject to the probabilistic liquefaction-induced failures. This indicates that tiered vulnerability of the liquefaction-prone links will result in multiple percolation transitions. The proposed framework provides a holistic approach to analyze the network robustness under different failure scenarios and can be extended to a larger interdependent system. (C) 2019 Elsevier B.V. All rights reserved.
机译:本文介绍了相互依存关键基础设施系统的网络网络分析框架,专注于共同定位的道路下水道网络。构造的相互依赖性考虑了两种类型的节点动态:共同定位和多对一依赖关系,基于其函数逻辑,具有不同的鲁棒性度量。本文的目标是双重的:(1),以表征相互依存对网络鲁棒性能的影响,以及(2)揭示相互依存道路下水道网络的临界渗透转换阈值。结果表明,(1)道路和下水道网络是相互相互依赖的,并且容易受到下水道系统中断发起的级联故障的影响; (2)网络稳健性降低,随着初始故障源的数量在本地化故障方案中增加,但随着故障的数量增加,速率下降; (3)下水道网络含有两种类型的链接:零暴露和严重暴露于液化,因此,它导致对概率液化引起的故障受到的两相渗透转变。这表明液化倾向链路的分层漏洞将导致多种渗滤过渡。所提出的框架提供了一种整体方法,可以在不同的故障情景下分析网络稳健性,并且可以扩展到更大的相互依存系统。 (c)2019 Elsevier B.v.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号