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Rapid seismic damage evaluation of bridge portfolios using machine learning techniques

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dc.contributor.authorMangalathu, Sujith-
dc.contributor.authorHwang, Seong-Hoon-
dc.contributor.authorChoi, Eunsoo-
dc.contributor.authorJeon, Jong-Su-
dc.date.accessioned2022-02-17T05:40:03Z-
dc.date.available2022-02-17T05:40:03Z-
dc.date.created2022-02-10-
dc.date.issued2019-12-
dc.identifier.issn0141-0296-
dc.identifier.urihttps://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/20402-
dc.language영어-
dc.language.isoen-
dc.publisherElsevier BV-
dc.titleRapid seismic damage evaluation of bridge portfolios using machine learning techniques-
dc.typeArticle-
dc.contributor.affiliatedAuthorHwang, Seong-Hoon-
dc.identifier.doi10.1016/j.engstruct.2019.109785-
dc.identifier.wosid000501395300056-
dc.identifier.bibliographicCitationEngineering Structures, v.201-
dc.relation.isPartOfEngineering Structures-
dc.citation.titleEngineering Structures-
dc.citation.volume201-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Civil-
dc.subject.keywordAuthorRisk assessmentBridgesMachine learningDamage statesRapid evaluation-
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