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dc.contributor.authorZiegler, Lisa
dc.contributor.authorVoormeeren, Sven
dc.contributor.authorSchafhirt, Sebastian
dc.contributor.authorMuskulus, Michael
dc.date.accessioned2016-09-22T10:45:54Z
dc.date.accessioned2016-09-29T07:14:10Z
dc.date.available2016-09-22T10:45:54Z
dc.date.available2016-09-29T07:14:10Z
dc.date.issued2015
dc.identifier.citationEnergy Procedia 2015, 80:193-200nb_NO
dc.identifier.issn1876-6102
dc.identifier.urihttp://hdl.handle.net/11250/2411610
dc.description.abstractConsiderable variations in environmental site conditions can exist within large offshore wind farms leading to divergent fatigue loads on support structures. An efficient frequency-domain method to calculate wave-induced fatigue loads on offshore wind turbine monopile foundations was developed. A verification study with time-domain simulations for a 4MW offshore wind turbine showed result accuracies of more than 90% for equivalent bending moments at mudline and interface level. This accuracy and computation times in the order of seconds make the frequency-domain method ideal for preliminary design and support structure optimization. The model is applied in sensitivity analysis of fatigue loads using Monte-Carlo simulations. Local and global sensitivity studies and a probabilistic assessment give insight into the importance of site parameters like water depth, soil stiffness, wave height, and wave period on fatigue loads. Results show a significant influence of water depth and wave period. This provides a basis for design optimization, load interpolation and uncertainty analysis in large wind farms.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsNavngivelse-Ikkekommersiell-IngenBearbeidelse 3.0 Norge*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/no/*
dc.titleSensitivity of wave fatigue loads on offshore wind turbines under varying site conditionsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.date.updated2016-09-22T10:45:54Z
dc.source.volume80nb_NO
dc.source.journalEnergy Procedianb_NO
dc.identifier.doi10.1016/j.egypro.2015.11.422
dc.identifier.cristin1297440
dc.description.localcode© 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.nb_NO


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