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dc.contributor.authorHorn, Jan-Tore H.
dc.contributor.authorLeira, Bernt Johan
dc.date.accessioned2019-08-06T08:12:22Z
dc.date.available2019-08-06T08:12:22Z
dc.date.created2019-08-04T18:58:40Z
dc.date.issued2019
dc.identifier.issn0951-8320
dc.identifier.urihttp://hdl.handle.net/11250/2607235
dc.description.abstractIn this paper, the impact on lifetime estimation of an offshore wind turbine by introducing a stochastic model for the availability is investigated. Offshore bottom-fixed wind turbines typically have an average downtime of 4–10% due to e.g. grid- or mechanical failures including a potentially long response time for recovery. During the non-operational conditions, the fatigue damage in the foundation is accumulating significantly faster. Designing the wind farm based on a conservative downtime fraction will lead to design conservatism with respect to the foundation, which will be quantified in this paper using a structural reliability analysis.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S0951832018301492
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleFatigue reliability assessment of offshore wind turbines with stochastic availabilitynb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.volume191nb_NO
dc.source.journalReliability Engineering & System Safetynb_NO
dc.identifier.doi10.1016/j.ress.2019.106550
dc.identifier.cristin1713913
dc.relation.projectNorges forskningsråd: 223254nb_NO
dc.description.localcode© 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).nb_NO
cristin.unitcode194,64,20,0
cristin.unitnameInstitutt for marin teknikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal