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Recovery-based seismic resilience enhancement strategies of water distribution networks

机译:基于恢复的地震弹性增强水分配网络策略

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摘要

This study investigates different pipe recovery strategies of water distribution networks (WDNs) from the seismic resilience perspective. A demand-based seismic resilience index (SRI) is defined to reflect the system performance level during the post-earthquake recovery process, which is characterized by the satisfaction degree of consumers. Then, a pipe fragility model based on the Chinese code is employed to determine the pipe damage conditions subjected to earthquakes. Taking the WDN in Mianzhu city as an example, three pipe recovery strategies, i.e., static importance-based strategy, damage-based strategy, and distance-based strategy are compared using the Monte Carlo simulation. After comparing the recovery trajectory of system satisfaction degree and the final SRI, the static importance-based strategy is proved to be the best among the three, especially in the early recovery stage. In addition, the dynamic importance-based strategy and the optimal strategy obtained by the genetic algorithm are discussed in a deterministic way. Results show that although the two strategies improve the seismic resilience of WDNs, the computation cost is high due to the time-consuming nonlinear hydraulic analysis. Compared with them, the static importance-based strategy is still a good one in terms of computational efficiency and high SRI value.
机译:本研究调查了水分配网络(WDNS)的不同管道回收策略从地震恢复的角度来看。基于需求的地震弹性指数(SRI)被定义为反映地震后恢复过程中的系统性能水平,其特征在于消费者满意度。然后,采用基于中国代码的管脆性模型来确定受地震的管道损坏条件。将WDN担任绵竹市作为示例,使用Monte Carlo仿真比较了三个管道恢复策略,即基于静态重要的战略,基于危害的策略和基于距离的策略。在比较系统满意度和最终SRI的恢复轨迹之后,证明了基于静态重要的策略是这三个中最好的,特别是在早期恢复期。此外,以确定性的方式讨论了基于动态的重要性战略和通过遗传算法获得的最佳策略。结果表明,虽然这两种策略改善了WDN的地震弹性,但由于耗时的非线性液压分析,计算成本很高。与他们相比,基于静态重要性的策略在计算效率和高SRI值方面仍然是一个很好的策略。

著录项

  • 来源
    《Reliability Engineering & System Safety》 |2020年第11期|107088.1-107088.10|共10页
  • 作者单位

    Tongji Univ State Key Lab Disaster Reduct Civil Engn Shanghai 200092 Peoples R China|Tongji Univ Dept Struct Engn Shanghai 200092 Peoples R China;

    Tongji Univ Dept Struct Engn Shanghai 200092 Peoples R China;

    Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China;

    Tongji Univ State Key Lab Disaster Reduct Civil Engn Shanghai 200092 Peoples R China|Tongji Univ Dept Struct Engn Shanghai 200092 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Water distribution networks; Seismic Resilience; Importance analysis; Recovery strategy; Flow analysis;

    机译:配水网络;地震恢复力;重要性分析;回收策略;流量分析;

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