University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

Damage severity assessment in wind turbine blade laboratory model through fuzzy finite element model updating

Simple item page
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.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.contributor.institutionUniversity of Aberdeen.Energyen
dc.date.accessioned2017-09-12T11:00:39Z
dc.date.available2017-09-12T11:00:39Z
dc.date.issued2017-04-19
dc.description.statusPeer revieweden
dc.format.extent14
dc.format.extent1231784
dc.identifier104835213
dc.identifier47c852fd-02cc-4ac1-a2b3-9249a0bb07c5
dc.identifier85021823426
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, 26/03/17. https://doi.org/10.1117/12.2257917en
dc.identifier.citationconferenceen
dc.identifier.doi10.1117/12.2257917
dc.identifier.isbn9781510608238
dc.identifier.isbn9781510608245
dc.identifier.issn0277-786X
dc.identifier.urihttp://hdl.handle.net/2164/9288
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85021823426&partnerID=8YFLogxKen
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.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

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Accepted_Manuscript.pdf
Size:
1.17 MB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
8.29 KB
Format:
Plain Text
Description:
Download

Collections

All research
Engineering research
University Office research