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dc.contributor.authorFagan, Edward M.
dc.contributor.authorde la Torre Rodríguez, Oscar
dc.contributor.authorLeen, Sean B.
dc.contributor.authorGoggins, Jamie
dc.identifier.citationFagan, E. M., De La Torre, O., Leen, S. B., & Goggins, J. (2018). Validation of the multi-objective structural optimisation of a composite wind turbine blade. Composite Structures, 204, 567-577. doi:
dc.description.abstractStructural optimisation of a wind turbine blade is presented in this work. The optimisation was performed using a multi-objective genetic algorithm and finite element modelling to determine the optimal structural design for a glass fibre-reinforced polypropylene composite blade. A candidate blade design from the Pareto efficient set was manufactured and tested for a range of structural characteristics, including: mass, centre of gravity, deflections, strains and natural frequencies. Static testing was carried out using a Whiffle tree test rig and a laser scanner was used to determine the deflection of the blade to a high degree of accuracy. The finite element model results for the custom-made design are compared to the measured blade response. The FE model predictions for strains, mass and natural frequencies are in relatively good agreement with the test results; however, notable deviations in the deflections predictions are attributed to modifications to the blade for manufacture and the shell-based modelling approach. The differences are discussed in detail and recommendations for future design work are outlined. The test results of the bespoke blade are also compared to two additional designs to determine the level of improvement afforded by the genetic algorithm approach. The bespoke glass fibre blade demonstrated an improvement in tip deflection of 16% relative to the original blade design, with a slight decrease in mass.en_IE
dc.description.sponsorshipThis material is in part based upon works supported by the Science Foundation Ireland Marine and Renewable Energy Ireland (MaREI) research centre 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 (Grant No. 13/CDA/2200). Additional thanks are given to the technical staff at NUI Galway.en_IE
dc.relation.ispartofComposite Structuresen
dc.subjectGenetic algorithmen_IE
dc.subjectComposite materialsen_IE
dc.subjectWind turbine bladeen_IE
dc.subjectStructural testingen_IE
dc.subjectBlade designen_IE
dc.titleValidation of the multi-objective structural optimisation of a composite wind turbine bladeen_IE
dc.contributor.funderScience Foundation Irelanden_IE
dc.contributor.funderCollege of Engineering and Informatics, National University of Ireland, Galwayen_IE
dc.local.contactSean Leen, Mechanical & Biomedical Eng, Eng-2051, New Engineering Building, Nui Galway. 5955 Email:
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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