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dc.contributor.author
Shokrani, Yaser
dc.contributor.author
Dertimanis, Vasilis K.
dc.contributor.author
Chatzi, Eleni
dc.contributor.author
Savoia, Marco N.
dc.date.accessioned
2019-08-12T14:29:49Z
dc.date.available
2019-08-10T09:37:20Z
dc.date.available
2019-08-12T14:29:49Z
dc.date.issued
2018-04
dc.identifier.issn
1545-2255
dc.identifier.issn
1545-2263
dc.identifier.other
10.1002/stc.2132
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/357760
dc.identifier.doi
10.3929/ethz-b-000357760
dc.description.abstract
A novel damage localization method is introduced in this study, which exploits mode shape curvatures as damage features, while accounting for operational variability. The developed framework operates in an output‐only regime,that is, it does not assume availability of records from the influencing environmental/operational quantities but rather from response quantities alone. The introduced tool comprises 3 stages pertaining to training, validation, and diagnostics. During the training stage, a representation of the healthy, or baseline, structural state is acquired over varying operational conditions. A data matrix is formulated, whose individual columns correspond to mode shape curvatures at distinct operational conditions, and principal component analysis (PCA) is applied for extraction of the imprints of separate operational sources on these curvatures. To this end, a residual matrix between the original and the PCA mapped data is formed serving for statistical characterization of each mode. Subsequently, during the validation and diagnostics stages, the mode shape curvature matrices for the currently inspected structural state are assembled and the same PCA mapping is enforced. A typical hypothesis test and a corresponding damage index are then adopted in order to firstly detect damage, and to secondly localize damage, should this exist. The implementation of the proposed method in 2 numerical case studies confirms its effectiveness and the encouraging results suggest further investigation on operating structural systems.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Wiley
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Damage detection and localization
en_US
dc.subject
Environmental and operational variability
en_US
dc.subject
Mode shape curvature
en_US
dc.subject
Principal component analysis
en_US
dc.subject
Structural health monitoring
en_US
dc.title
On the use of mode shape curvatures for damage localization under varying environmental conditions
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2018-01-29
ethz.journal.title
Structural Control and Health Monitoring
ethz.journal.volume
25
en_US
ethz.journal.issue
4
en_US
ethz.journal.abbreviated
Struct Control Health Monit.
ethz.pages.start
e2132
en_US
ethz.size
20 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Chichester
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2019-08-10T09:37:23Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-08-12T14:30:03Z
ethz.rosetta.lastUpdated
2019-08-12T14:30:03Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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