Dynamic displacements-based model updating with motion capture system
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Oh, Byung Kwan | - |
dc.contributor.author | Hwang, Jin Woo | - |
dc.contributor.author | Choi, Se Woon | - |
dc.contributor.author | Kim, Yousok | - |
dc.contributor.author | Cho, Tongjun | - |
dc.contributor.author | Park, Hyo Seon | - |
dc.date.available | 2020-07-10T05:20:37Z | - |
dc.date.created | 2020-07-06 | - |
dc.date.issued | 2017-04 | - |
dc.identifier.issn | 1545-2255 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/5933 | - |
dc.description.abstract | In this paper, a dynamic displacements-based model updating method using a motion capture system (MCS) is proposed. The dynamic characteristics from MCS are used to find the parameters that minimize the difference between updated model and direct measurement. Using a multi-objective optimization algorithm of non-dominated sorting genetic algorithm-II, the number of objective functions for model updating is set to the same number of modes under consideration, and all the objective function are simultaneously minimized. To consider the contribution of each mode on model updating and to avoid biased results, a rule for weighting of solutions associated to each mode based on modal participation factors is suggested and tested. Using a free vibration experimental test of a three-story shear model, the performance of model updating method is verified by the comparison of the dynamics characteristics between the updated model and direct measurement by MCS. In addition, time histories of displacements from the updated model are compared with the direct measurement. Copyright (c) 2016 John Wiley & Sons, Ltd. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | WILEY | - |
dc.title | Dynamic displacements-based model updating with motion capture system | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Yousok | - |
dc.identifier.doi | 10.1002/stc.1904 | - |
dc.identifier.scopusid | 2-s2.0-85014410733 | - |
dc.identifier.wosid | 000395370700015 | - |
dc.identifier.bibliographicCitation | STRUCTURAL CONTROL & HEALTH MONITORING, v.24, no.4 | - |
dc.relation.isPartOf | STRUCTURAL CONTROL & HEALTH MONITORING | - |
dc.citation.title | STRUCTURAL CONTROL & HEALTH MONITORING | - |
dc.citation.volume | 24 | - |
dc.citation.number | 4 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Construction & Building Technology | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Construction & Building Technology | - |
dc.relation.journalWebOfScienceCategory | Engineering, Civil | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.subject.keywordPlus | OPERATIONAL MODAL-ANALYSIS | - |
dc.subject.keywordPlus | WIRELESS SENSOR NETWORKS | - |
dc.subject.keywordPlus | FREQUENCY-DOMAIN DECOMPOSITION | - |
dc.subject.keywordPlus | STRUCTURAL IDENTIFICATION | - |
dc.subject.keywordPlus | DAMAGE IDENTIFICATION | - |
dc.subject.keywordPlus | PARAMETER-ESTIMATION | - |
dc.subject.keywordPlus | GENETIC ALGORITHM | - |
dc.subject.keywordPlus | CANTON TOWER | - |
dc.subject.keywordPlus | BRIDGE | - |
dc.subject.keywordPlus | GENERATION | - |
dc.subject.keywordAuthor | Model updating | - |
dc.subject.keywordAuthor | dynamic displacement | - |
dc.subject.keywordAuthor | motion capture system | - |
dc.subject.keywordAuthor | NSGA-II | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
94, Wausan-ro, Mapo-gu, Seoul, 04066, Korea02-320-1314
COPYRIGHT 2020 HONGIK 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.