Parameter identification of crack-like notches in aluminum plates based on strain gauge data

dc.date.accessioned2023-03-30T11:47:41Z
dc.date.available2023-03-30T11:47:41Z
dc.date.issued2020-12-31
dc.descriptionAllianz-/Nationallizenzger
dc.identifierdoi:10.17170/kobra-202303297735
dc.identifier.urihttp://hdl.handle.net/123456789/14548
dc.language.isoengeng
dc.relation.doidoi:10.1177/1475921720981845
dc.rightsUrheberrechtlich geschützt
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subjectdistributed dislocationseng
dc.subjectstructural health monitoringeng
dc.subjectcrack detectioneng
dc.subjectinverse problemeng
dc.subject.ddc620
dc.subject.swdAluminiumblechger
dc.subject.swdStructural Health Monitoringger
dc.subject.swdRissger
dc.subject.swdSchadenfrüherkennungger
dc.subject.swdParameteridentifikationger
dc.subject.swdInverses Problemger
dc.subject.swdSpannungsintensitätsfaktorger
dc.titleParameter identification of crack-like notches in aluminum plates based on strain gauge dataeng
dc.typeAufsatz
dc.type.versionpublishedVersion
dcterms.abstractThe identification of crack parameters and stress intensity factors in aluminum plates under tensile loading is in the focus of the presented research. In this regard, data of strain gauges, distributed along the edges of the samples, are interpreted. In the experiments, slit-shaped notches take the role of cracks located in the interior of the specimens. Their positions, inclinations and lengths as well as the magnitudes of external loadings are identified solving the inverse problems of cracked plates and associated strain fields. Exploiting the powerful approach of distributed dislocations, based on Green’s functions provided by the framework of linear elasticity, in conjunction with a genetic algorithm, allows for a very efficient identification of the sought parameters, thus being suitable for in situ monitoring of engineering structures. Tested samples exhibit one or two straight crack-like notches as well as a kinked one.eng
dcterms.accessRightsopen access
dcterms.creatorBoukellif, Ramdane
dcterms.creatorRicoeur, Andreas
dcterms.creatorOxe, Matthias
dcterms.source.identifiereissn:1741-3168
dcterms.source.issueIssue 6
dcterms.source.journalStructural Health Monitoringeng
dcterms.source.pageinfo3227-3238
dcterms.source.volumeVolume 20
kup.iskupfalse

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