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Similarity-based damage detection method: Numerical study

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dc.contributor.authorMin, C.H.-
dc.contributor.authorKim, H.W.-
dc.contributor.authorOh, J.W.-
dc.contributor.authorCho, S.G.-
dc.contributor.authorSung, K.Y.-
dc.contributor.authorYeu, T.K.-
dc.contributor.authorHong, S.-
dc.contributor.authorYoon, S.M.-
dc.contributor.authorKim, J.H.-
dc.date.accessioned2023-12-22T08:30:53Z-
dc.date.available2023-12-22T08:30:53Z-
dc.date.issued2017-
dc.identifier.issn1876-1100-
dc.identifier.urihttps://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/8520-
dc.description.abstractThe main objective of this paper is to develop a new damage detection method. The newly developed damage detection method uses natural frequencies change ratios between non damaged structures and damaged structures. Two parameters, cosine similarity and magnitude index, are considered to estimate location and severity of the damage in the structure. A numerical example, a jacket structure, was considered to verify the performance of the proposed method. As a result, the damages in the structures is accurately detected. ? Springer International Publishing AG 2017.-
dc.format.extent8-
dc.language영어-
dc.language.isoENG-
dc.publisherSpringer Verlag-
dc.titleSimilarity-based damage detection method: Numerical study-
dc.typeArticle-
dc.publisher.location독일-
dc.identifier.doi10.1007/978-3-319-50904-4_45-
dc.identifier.scopusid2-s2.0-85009443024-
dc.identifier.bibliographicCitationLecture Notes in Electrical Engineering, v.415 LNEE, pp 428 - 435-
dc.citation.titleLecture Notes in Electrical Engineering-
dc.citation.volume415 LNEE-
dc.citation.startPage428-
dc.citation.endPage435-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusNumerical methods-
dc.subject.keywordPlusOffshore structures-
dc.subject.keywordPlusStructural health monitoring-
dc.subject.keywordPlusChange ratio-
dc.subject.keywordPlusCosine similarity-
dc.subject.keywordPlusDamage index-
dc.subject.keywordPlusDamaged structures-
dc.subject.keywordPlusDetection methods-
dc.subject.keywordPlusJacket structures-
dc.subject.keywordPlusTwo parameter-
dc.subject.keywordPlusDamage detection-
dc.subject.keywordAuthorCosine similarity-
dc.subject.keywordAuthorDamage detection-
dc.subject.keywordAuthorDamage index-
dc.subject.keywordAuthorOffshore structure-
dc.subject.keywordAuthorStructural health monitoring-
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