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dc.contributor.authorTurnbull, Heather
dc.contributor.authorOmenzetter, Piotr
dc.contributor.editorWu, H. Felix
dc.contributor.editorGyekenyesi, Andrew L.
dc.contributor.editorShull, Peter J.
dc.contributor.editorYu, Tzu-Yang
dc.date.accessioned2017-09-12T11:00:39Z
dc.date.available2017-09-12T11:00:39Z
dc.date.issued2017-04-19
dc.identifier.citationTurnbull , H & Omenzetter , P 2017 , Damage severity assessment in wind turbine blade laboratory model through fuzzy finite element model updating . in H F Wu , A L Gyekenyesi , P J Shull & T-Y Yu (eds) , Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017 . vol. 10169 , 101692E , Proceedings of SPIE , vol. 10169 , SPIE , Conference on Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XI 2017 , Portland , United States , 26-29 March . DOI: 10.1117/12.2257917en
dc.identifier.citationconferenceen
dc.identifier.isbn9781510608238
dc.identifier.isbn9781510608245
dc.identifier.issn0277-786X
dc.identifier.otherPURE: 104835213
dc.identifier.otherPURE UUID: 47c852fd-02cc-4ac1-a2b3-9249a0bb07c5
dc.identifier.otherScopus: 85021823426
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=85021823426&partnerID=8YFLogxKen
dc.identifier.urihttp://hdl.handle.net/2164/9288
dc.format.extent14en
dc.language.isoeng
dc.publisherSPIE
dc.relation.ispartofNondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017en
dc.relation.ispartofseriesProceedings of SPIEen
dc.rightsCopyright 2017 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.en
dc.subjectDamage detectionen
dc.subjectFirefly algorithmen
dc.subjectFuzzy finite element model updatingen
dc.subjectParticle swarm optimizationen
dc.subjectStructural health monitoringen
dc.subjectUncertainty quantificationen
dc.subjectWind turbine bladeen
dc.subjectTA Engineering (General). Civil engineering (General)en
dc.subjectElectronic, Optical and Magnetic Materialsen
dc.subjectCondensed Matter Physicsen
dc.subjectComputer Science Applicationsen
dc.subjectApplied Mathematicsen
dc.subjectElectrical and Electronic Engineeringen
dc.subject.lccTAen
dc.titleDamage severity assessment in wind turbine blade laboratory model through fuzzy finite element model updatingen
dc.typeBook itemen
dc.contributor.institutionUniversity of Aberdeen, School of Engineeringen
dc.contributor.institutionUniversity of Aberdeen, Engineeringen
dc.contributor.institutionUniversity of Aberdeen, School of Engineering, Engineeringen
dc.contributor.institutionUniversity of Aberdeen, Energyen
dc.contributor.institutionUniversity of Aberdeen, Engineeringen
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.doihttp://dx.doi.org/10.1117/12.2257917


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