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공공누리This item is licensed Korea Open Government License

dc.contributor.author
정민중
dc.date.accessioned
2019-08-28T07:41:22Z
dc.date.available
2019-08-28T07:41:22Z
dc.date.issued
2013-06-01
dc.identifier.issn
1545-2255
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/14189
dc.description.abstract
An experimental verification of a damage detection process using novel optimization techniques such as modified real coded genetic algorithms and swarm-based algorithms is presented. Here, the objective function is defined as the sum of differences of the modal frequencies between intact and stiffness damaged state, which has to be minimized to identify the damage location and its severity in the process of model updating. In addition to the structural or damage variables such as the mass or stiffness of the numerical model, the profiles of modal frequency shifts are also damage-sensitive features. The iterative process that uses the proposed population-based optimization algorithms successfully identifies the local mass change of a test structure by updating the damage variables to fit the modal data of test structures such as a cantilevered beam and multibay truss frame.
dc.language
eng
dc.relation.ispartofseries
STRUCTURAL CONTROL AND HEALTH MONITORING
dc.title
Performance evaluation of modified genetic and swarm-based optimization algorithms in damage identification problem
dc.identifier.doi
10.1002/stc.507
dc.subject.keyword
structural health monitoring
dc.subject.keyword
damage detection
dc.subject.keyword
optimization algorithm
dc.subject.keyword
genetic algorithm
dc.subject.keyword
swarm based
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7. KISTI 연구성과 > 학술지 발표논문
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