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dc.contributor.authorFonseca, Nuno
dc.contributor.authorThys, Maxime
dc.contributor.authorBerthelsen, Petter Andreas
dc.date.accessioned2022-03-23T14:34:02Z
dc.date.available2022-03-23T14:34:02Z
dc.date.created2021-11-19T09:53:00Z
dc.date.issued2021
dc.identifier.citationJournal of Physics: Conference Series (JPCS). 2021, 2018 .en_US
dc.identifier.issn1742-6588
dc.identifier.urihttps://hdl.handle.net/11250/2987143
dc.description.abstractThe paper presents a comparison between empirical and numerical quadratic transfer functions (QTFs) of the horizontal wave drift loads on the INO WINDMOOR floating wind turbine. The empirical QTFs are determined from cross bi-spectral analysis of model test data obtained in an ocean basin. Validation of the identified QTF is provided by comparing low frequency motions reconstructed from the empirical QTF with measurements. The numerical QTFs are calculated by a panel code that solves the wave-structure potential flow problem up to the second order. Systematic comparisons between numerical and empirical QTFs allows identification of tendencies of empirical QTFs and limitations of the second order potential flow predictions. The study is limited to hydrodynamic loads from waves only, i.e. without current. For small seastates, the results indicate that the second order potential flow predictions of the surge QTFs agree quite well with the wave drift coefficients identified empirically from the model test data. For moderate and high seastates, second order predictions underestimate the surge wave drift coefficients for all compared diagonals of the QTFs. The discrepancies between predictions and empirical coefficients are not small, especially at the lower frequency range (below around 0.10 Hz) where the potential flow wave drift forces tend to zero.en_US
dc.language.isoengen_US
dc.publisherIOP Scienceen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleIdentification of wave drift force QTFs for the INO WINDMOOR floating wind turbine based on model test data and comparison with potential flow predictionsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderContent from this work may be used under the terms of theCreative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltden_US
dc.source.pagenumber11en_US
dc.source.volume2018en_US
dc.source.journalJournal of Physics: Conference Series (JPCS)en_US
dc.identifier.doi10.1088/1742-6596/2018/1/012017
dc.identifier.cristin1956261
dc.relation.projectNorges forskningsråd: 294573en_US
dc.source.articlenumber012017en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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