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dc.contributor.authorFagan, Edward M.
dc.contributor.authorFlanagan, M.
dc.contributor.authorLeen, Sean B.
dc.contributor.authorFlanagan, Tomas
dc.contributor.authorDoyle, Adrian
dc.contributor.authorGoggins, Jamie
dc.date.accessioned2019-12-03T14:24:00Z
dc.date.available2019-12-03T14:24:00Z
dc.date.issued2016-12-10
dc.identifier.citationFagan, E. M., Flanagan, M., Leen, S. B., Flanagan, T., Doyle, A., & Goggins, J. (2017). Physical experimental static testing and structural design optimisation for a composite wind turbine blade. Composite Structures, 164, 90-103. doi: https://doi.org/10.1016/j.compstruct.2016.12.037en_IE
dc.identifier.issn1879-1085
dc.identifier.urihttp://hdl.handle.net/10379/15609
dc.description.abstractThis study presents experimental testing on a 13 m long glass-fibre epoxy composite wind turbine blade. The results of the test were used to calibrate finite element models. A design optimisation study was then performed using a genetic algorithm. The goal of the optimisation was to minimise the material used in blade construction and, thereby, reduce the manufacturing costs. The thickness distribution of the composite materials and the internal structural layout of the blade were considered for optimisation. Constraints were placed on the objective based on the stiffness of the blade and the blade surface stresses. A variable penalty function was used with limits derived from the blade test and the structural layout of the turbine. The model shows good correspondence to the test results (blade mass within 6% and deflection within 9%) and the differences between test and model are discussed in detail. The genetic algorithm resulted in five optimal blade designs, showing a reduction in mass up to 24%. Structural modelling in combination with numerical search algorithms provide a powerful tool for designers and demonstrates that the reader can have confidence in the claimed potential savings when the reference blade models are calibrated against physical test data. (C) 2016 Elsevier Ltd. All rights reserved.en_IE
dc.description.sponsorshipThis material is in part based upon works supported by the Science Foundation Ireland Centre for Marine and Renewable Energy Ireland (MaREI) under Grant No. 12/RC/2302. It was also funded by a fellowship from the College of Engineering and Informatics, NUI Galway, and was supported by an NUI Travelling Studentship, 2014. The last author would like to acknowledge the support of Science Foundation Ireland through the Career Development Award programme (Grand No. 13/CDA/2200).en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherElsevieren_IE
dc.relation.ispartofComposite Structuresen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectOptimisationen_IE
dc.subjectGenetic algorithmen_IE
dc.subjectFRP compositesen_IE
dc.subjectPuck criterionen_IE
dc.subjectStructural testingen_IE
dc.subjectWind turbineen_IE
dc.subjectGENETIC ALGORITHMen_IE
dc.subjectDAMAGEen_IE
dc.titlePhysical experimental static testing and structural design optimisation for a composite wind turbine bladeen_IE
dc.typeArticleen_IE
dc.date.updated2019-11-26T18:08:17Z
dc.identifier.doi10.1016/j.compstruct.2016.12.037
dc.local.publishedsourcehttps://doi.org/10.1016/j.compstruct.2016.12.037en_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funderScience Foundation Irelanden_IE
dc.contributor.funderCollege of Engineering and Informatics, National University of Ireland, Galwayen_IE
dc.internal.rssid12235550
dc.local.contactSean Leen, Mechanical & Biomedical Eng, Eng-2051, New Engineering Building, Nui Galway. 5955 Email: sean.leen@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionACCEPTED
dcterms.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2302/IE/Marine Renewable Energy Ireland (MaREI) - The SFI Centre for Marine Renewable Energy Research/en_IE
dcterms.projectinfo:eu-repo/grantAgreement/SFI/SFI Career Development Award/13/CDA/2200/IE/Achieving nearly zero energy buildings - A life cycle assessment approach to retrofitting existing buildings (acronym: nZEB-RETROFIT)/en_IE
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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland