Seismic Vulnerability Assessment of Water Pipe Networks under Network Uncertainties

Seismic Vulnerability Assessment of Water Pipe Networks under Network Uncertainties
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网络不确定性下的水管网地震脆弱性评估

DOI:
10.1061/9780784483619.018
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发表时间:
2021
期刊:
UESI Pipelines 2021 Conference
影响因子:
--
通讯作者:
Shahandashti, Mohsen
Shahandashti, Mohsen
中科院分区:
--
文献类型:
--
作者:
Roy, Abhijit;Pudasaini, Binaya;Shahandashti, Mohsen

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地震会破坏社区关键生命线的运行,比如地下水和天然气基础设施系统。供水管网地震易损性评估的重要性再怎么强调也不为过,因为它在预防地震恢复决策中起着至关重要的作用,以避免昂贵的维修。现有的地震易损性评价方法没有考虑管网的不确定性(如节点需求、水库水头和管道粗糙度系数的不确定性),尽管这些评价方法对这些不确定性相当敏感。研究管网不确定性对管网地震后可用性的影响是评估管网在不确定性条件下脆弱性的第一步。本研究的目的是探讨水网的不确定性对震后供水能力的影响。需求和管道粗糙度系数是本研究选择的网络参数。采用实验设计、蒙特卡罗模拟和单因素方差分析(ANOVA)检验来检验两个供水管网不确定性因素(节点需求和管道粗糙度系数)的单独和联合影响。该方法在摩德纳网络上进行了测试,摩德纳网络是一个城市规模的基准网络,在文献中通常用于供水管网的地震易损性评估。结果表明,这两个选取的管网参数的不确定性对供水管网的震后服务能力有统计学上显著的影响。因此,建议将管网的不确定性与供水管网地震易损性评价相结合。
Earthquakes disrupt the operation of critical lifelines in a community, such as underground water and gas infrastructure systems. The importance of the seismic vulnerability assessment of water pipe networks cannot be exaggerated as it has a critical role in preventive seismic rehabilitation decision-making performed to avoid costly repairs. Existing seismic vulnerability assessment methods do not consider water pipe network uncertainties (e.g., uncertainties in nodal demand, reservoir head, and pipe roughness coefficient) despite the considerable susceptibility of these assessment methods to these uncertainties. Examining the effect of network uncertainties on post-earthquake serviceability of water pipe networks is the first step towards assessing the vulnerability of water pipe networks under uncertainties. The objective of this research is to investigate the effect of network uncertainties on the post-earthquake serviceability of water networks. Demand and pipe roughness coefficient were the network parameters selected for this study. Design of the experiment, Monte Carlo simulation, and one-way analysis of variance (ANOVA) tests were used to examine the individual and combined effects of two water pipe network uncertainties (nodal demand and pipe roughness coefficient). The approach was tested on the Modena network, which is a city-scale benchmark network that is commonly used in the literature for seismic vulnerability assessment of water pipe networks. The results show that the uncertainty of these two selected network parameters has a statistically significant impact on the post-earthquake serviceability of water pipe networks. Hence, it is recommended to integrate the network uncertainties with the seismic vulnerability assessment of water pipe networks.
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