Resilience-based optimal design of water distribution network

被引:18
|
作者
Suribabu C.R. [1 ]
机构
[1] Centre for Advanced Research in Environment (CARE), School of Civil Engineering, SASTRA University, Thanjavur, 613 401, Tamilnadu
关键词
Capital cost; Differential evolution; Resilience; Water distribution network;
D O I
10.1007/s13201-017-0560-2
中图分类号
学科分类号
摘要
Optimal design of water distribution network is generally aimed to minimize the capital cost of the investments on tanks, pipes, pumps, and other appurtenances. Minimizing the cost of pipes is usually considered as a prime objective as its proportion in capital cost of the water distribution system project is very high. However, minimizing the capital cost of the pipeline alone may result in economical network configuration, but it may not be a promising solution in terms of resilience point of view. Resilience of the water distribution network has been considered as one of the popular surrogate measures to address ability of network to withstand failure scenarios. To improve the resiliency of the network, the pipe network optimization can be performed with two objectives, namely minimizing the capital cost as first objective and maximizing resilience measure of the configuration as secondary objective. In the present work, these two objectives are combined as single objective and optimization problem is solved by differential evolution technique. The paper illustrates the procedure for normalizing the objective functions having distinct metrics. Two of the existing resilience indices and power efficiency are considered for optimal design of water distribution network. The proposed normalized objective function is found to be efficient under weighted method of handling multi-objective water distribution design problem. The numerical results of the design indicate the importance of sizing pipe telescopically along shortest path of flow to have enhanced resiliency indices. © 2017, The Author(s).
引用
收藏
页码:4055 / 4066
页数:11
相关论文
共 50 条
  • [1] Multi-objective Rao algorithm in resilience-based optimal design of water distribution networks
    Jain, Priyanshu
    Khare, Ruchi
    WATER SUPPLY, 2022, 22 (04) : 4346 - 4360
  • [2] Resilience-based network design under uncertainty
    Zhang, Xiaoge
    Mahadevan, Sankaran
    Sankararaman, Shankar
    Goebel, Kai
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2018, 169 : 364 - 379
  • [3] Resilience-Based Design of Natural Gas Distribution Networks
    Cimellaro, G. P.
    Villa, O.
    Bruneau, M.
    JOURNAL OF INFRASTRUCTURE SYSTEMS, 2015, 21 (01)
  • [4] Review of Resilience-Based Design
    Ademovic, Naida
    Ibrahimbegovic, Adnan
    COUPLED SYSTEMS MECHANICS, 2020, 9 (02): : 91 - 110
  • [5] A Bayesian network model for resilience-based supplier selection
    Hosseini, Seyedmohsen
    Barker, Kash
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2016, 180 : 68 - 87
  • [6] A resilience-based prioritization scheme for water main rehabilitation
    Jin, He
    Piratla, Kalyan R.
    JOURNAL OF WATER SUPPLY RESEARCH AND TECHNOLOGY-AQUA, 2016, 65 (04): : 307 - 321
  • [7] A resilience-based framework for the optimal coupling of interdependent critical infrastructures
    Belle, Andrea
    Abdin, Adam F.
    Fang, Yi-Ping
    Zeng, Zhiguo
    Barros, Anne
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2023, 237
  • [8] A novel cyber-physical resilience-based strategy for water quality sensor placement in water distribution networks
    Nikolopoulos, Dionysios
    Makropoulos, Christos
    URBAN WATER JOURNAL, 2023, 20 (03) : 278 - 297
  • [9] Resilience-based optimal firefighting to prevent domino effects in process plants
    Cincotta, Salvatore
    Khakzad, Nima
    Cozzani, Valerio
    Reniers, Genserik
    JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2019, 58 : 82 - 89
  • [10] Resilience-Based seismic design of buildings through multiobjective optimization
    Joyner, Matthew D.
    Gardner, Casey
    Puentes, Bella
    Sasani, Mehrdad
    ENGINEERING STRUCTURES, 2021, 246