Seismic Reliability-Based Multiobjective Design of Water Distribution System: Sensitivity Analysis
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yoo, Do Guen | - |
dc.contributor.author | Jung, Donghwi | - |
dc.contributor.author | Kang, Doosun | - |
dc.contributor.author | Kim, Joong Hoon | - |
dc.date.accessioned | 2021-09-03T10:32:05Z | - |
dc.date.available | 2021-09-03T10:32:05Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2017-02 | - |
dc.identifier.issn | 0733-9496 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/84811 | - |
dc.description.abstract | This study proposes a seismic reliability-based water distribution system (WDS) optimal design model that minimizes total cost and maximizes seismic reliability. Here, seismic reliability is defined as the ratio of the available quantity of water to the required demand under stochastic earthquake events. A new evaluation model is used to assess seismic reliability, while a multiobjective harmony search (MOHS) based on a ranking approach is used for optimization. The Anytown network was modified for the demonstration of the proposed method. First, this study performs the sensitivity analysis of MOHS parameter values [i.e.,harmony search consideration rate (HMCR) and pitch adjustment rate (PAR)] to identify the best parameter set in a pipe-sizing problem of an Anytown network. Then, Pareto optimal solutions with three different tank configurations are obtained and compared with respect to the final Pareto fronts and the system designs. For the sensitivity analysis, it reveals that higher PAR and lower HMCR values are also required to maintain high searchability in a multiobjective (MO) framework. In addition, Pareto-optimal solutions found for networks with tanks dominated those found for those without tanks. (C) 2016 American Society of Civil Engineers. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ASCE-AMER SOC CIVIL ENGINEERS | - |
dc.subject | HARMONY SEARCH | - |
dc.subject | DISTRIBUTION NETWORKS | - |
dc.subject | OPTIMIZATION | - |
dc.title | Seismic Reliability-Based Multiobjective Design of Water Distribution System: Sensitivity Analysis | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jung, Donghwi | - |
dc.contributor.affiliatedAuthor | Kim, Joong Hoon | - |
dc.identifier.doi | 10.1061/(ASCE)WR.1943-5452.0000727 | - |
dc.identifier.scopusid | 2-s2.0-85010612310 | - |
dc.identifier.wosid | 000394241600005 | - |
dc.identifier.bibliographicCitation | JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, v.143, no.2 | - |
dc.relation.isPartOf | JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT | - |
dc.citation.title | JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT | - |
dc.citation.volume | 143 | - |
dc.citation.number | 2 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Water Resources | - |
dc.relation.journalWebOfScienceCategory | Engineering, Civil | - |
dc.relation.journalWebOfScienceCategory | Water Resources | - |
dc.subject.keywordPlus | HARMONY SEARCH | - |
dc.subject.keywordPlus | DISTRIBUTION NETWORKS | - |
dc.subject.keywordPlus | OPTIMIZATION | - |
dc.subject.keywordAuthor | Seismic reliability | - |
dc.subject.keywordAuthor | Multiobjective harmony search (MOHS) | - |
dc.subject.keywordAuthor | Water distribution systems (WDSs) | - |
dc.subject.keywordAuthor | Reliability EVAluation model for Seismic hazard for water supply NETwork (REVAS | - |
dc.subject.keywordAuthor | NET) | - |
dc.subject.keywordAuthor | Sensitivity analysis | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.