Seismic Resilience Quantification Assessment of Urban Gas Network Considering Recovery Efficiency and Methods

被引：0
|
作者：
Bi X. [1 ,2 ]
Ji K. [1 ]
Wen R. [1 ]
Zong C. [1 ]
Zhang X. [3 ]
机构：
[1] Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, China Earthquake Administration, Harbin
[2] Earthquake Administration of Guangxi Zhuang Autonomous Region, Nanning
[3] Beijing Gas and Heating Engineering Design Institute Co., Ltd, Beijing
来源：
Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering | 2021年 / 29卷 / 06期
关键词：
Evaluation index; Recovery efficiency; Repair cost; Repair method; Seismic resilience; Seismic resilience quantification assessment; Urban gas network;
D O I：
10.16058/j.issn.1005-0930.2021.06.020
中图分类号：
学科分类号：
摘要：
The seismic resilience measurements and performance recovery methods were investigated regarding the urban gas network. The skew of the recovery trajectory (SRT) and total recovery time (TRT) were introduced to quantitatively assess the efficiency and duration of the urban gas network system resilience in the technical dimension. Then the influence of different recovery methods were analyzed and discussed.Firstly, the resilience in technique dimension were defined in two ways according to whether the pipeline diameter is considered or not.To reflect the difference of recovery trajectory owing to the repair sequence uncertainty, the Monte Carlo method was applied to randomly simulate the network failure distribution location and repair sequence regarding a city gas network system in China.Furthermore, the influence of the different repair resources on resilience under different earthquake intensities conditions were analyzed by index SRT and TRT.Finally, three repair methods:point-by-point, whole-tube replacement, and hybrid repair (under optimal cost) method were compared for their influence on the resilience of the gas network. The results indicated that the increasing repair resources input could reduce TRT and SRT, and improve the recovery efficiency.With different damage degree, the influence of resources on the system resilience also varies.Under different earthquake intensity, the mixed recovery method has the lowest cost.When there are less ruptures on pipes conditioned on lower earthquake intensity, using the point-by-point recovery method costs less time and having the best recovery efficiency.On the other hand, the recovery time, efficiency, and the cost of the system are better than that of the point-by-point recovery method when whole-tube replacement or hybrid repair method is selected for high intensity condition. © 2021, The Editorial Board of Journal of Basic Science and Engineering. All right reserved.
引用
收藏
页码：1561 / 1575
页数：14
相关论文
共 26 条
  • [1] Zhai Changhai, Liu Wen, Xie Lili, Progress of research on city seismic resilience evaluation, Journal of Building Structures, 39, 9, pp. 1-9, (2018)
  • [2] Ahmadian N, Lim G J, Cho J, Et al., A quantitative approach for assessment and improvement of network resilience[J], Reliability Engineering & System Safety, (2020)
  • [3] Ouyang M, Duenas-Osorio L, Min X., A three-stage resilience analysis framework for urban infrastructure systems[J], Structural Safety, 36- 37, pp. 23-31, (2012)
  • [4] Cimellaro G P, Villa O, Bruneau M., Resilience-based design of natural gas distribution networks[J], Journal of Infrastructure Systems, 21, 1, (2015)
  • [5] Zhou Ying, Wu Hao, Gu Anqi, Earthquake engineering:from earthquake resilience, energy dissipation, and isolation, to resilience, Engineering Mechanics, 36, 6, pp. 1-12, (2019)
  • [6] Li Qian, Guo Endong, Li Yuqin, Et al., Key problems of seismic resilience evaluation of water supply system, Journal of Catastrophology, 34, 2, pp. 83-88, (2019)
  • [7] Zhao Xudong, Chen Zhilong, Gong Huadong, Et al., Review on the study of disaster resilience of critical infrastructure systems, China Civil Engineering Journal, 50, 12, pp. 62-71, (2017)
  • [8] Zong Chengcai, Ji Kun, Wen Ruizhi, Et al., Three-dimensional resilience quantification framework for the urban gas network system, Engineering Mechanics, 38, 2, pp. 146-156, (2021)
  • [9] Liu W, Li Z, Li J, Seismic reliability evaluation of gas supply networks based on the probability density evolution method[J], Structural Safety, 70, pp. 21-34, (2018)
  • [10] Liu X, Hou K, Jia H, Et al., A resilience assessment approach for power system from perspectives of system and component levels[J], International Journal of Electrical Power & Energy Systems, 118, (2020)
123