Serviceability evaluation of water supply networks under seismic loads utilizing their operational physical mechanism

作     者：Miao Huiquan Li Jie Miao Huiquan;Li Jie

作者机构：Key Laboratory of Urban Security and Disaster Engineering of China Ministry of EducationBeijing University ofTechnologyBeijing 100124China State Key Laboratory of Disaster Reduction in Civil EngineeringTongji UniversityShanghai 200092China Department of Structural EngineeringTongji UniversityShanghai 200092China 

出 版 物：《Earthquake Engineering and Engineering Vibration》 (地震工程与工程振动（英文刊）)

年 卷 期：2022年第21卷第1期

页      面：283-296页

核心收录：

学科分类：08[工学] 0815[工学-水利工程] 

基　　金：National Natural Science Foundation of China under Grant No.5210082055 China Postdoctoral Science Foundation under Grant No.2021M690278 

主　　题：water supply networks seismic serviceability nodal water pressure stochastic ground motions probability density evolution method 

摘      要：The serviceability of water supply networks(WSNs)under seismic loads has significant importance for estimating the probable losses and the impact of diminished functionality on affected *** innovation presented in this paper is suggesting a new strategy to evaluate the seismic serviceability of WSNs,utilizing their operational physical *** one hand,this method can obtain the seismic serviceability of each node as well as entire *** the other hand,this method can dynamically reflect the propagation of randomness from ground motions to ***,a finite element model is established to capture the seismic response of buried pipe networks,and a leakage model is suggested to obtain the leakage area of ***,the transient flow analysis of WSNs with or without leakage is derived to obtain dynamic water flow and ***,the seismic serviceability of WSNs is analyzed based on the probability density evolution method(PDEM).Finally,the seismic serviceability of a real WSN in Mianzhu city is assessed to illustrate the *** case study shows that randomness from the ground motions can obviously affect the leakage state and the probability density of the nodal head during earthquakes.