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dc.contributor.authorMuskulus, Michael
dc.date.accessioned2020-06-15T10:53:25Z
dc.date.available2020-06-15T10:53:25Z
dc.date.created2015-12-11T14:52:03Z
dc.date.issued2015
dc.identifier.citationEnergies. 2015, 8 14026-14039.en_US
dc.identifier.issn1996-1073
dc.identifier.urihttps://hdl.handle.net/11250/2658036
dc.description.abstractThe ultimate capacity of support structures is checked with extreme loads. This is straightforward when the limit state equations depend on a single load component, and it has become common to report maxima for each load component. However, if more than one load component is influential, e.g., both axial force and bending moments, it is not straightforward how to define an extreme load. The combination of univariate maxima can be too conservative, and many different combinations of load components can result in the worst value of the limit state equations. The use of contemporaneous load vectors is typically non-conservative. Therefore, in practice, limit state checks are done for each possible load vector, from each time step of a simulation. This is not feasible when performing reliability assessments and structural optimization, where additional, time-consuming computations are involved for each load vector. We therefore propose to use Pareto-optimal loads, which are a small set of loads that together represent all possible worst case scenarios. Simulations with two reference wind turbines show that this approach can be very useful for jacket structures, whereas the design of monopiles is often governed by the bending moment only. Even in this case, the approach might be useful when approaching the structural limits during optimization.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titlePareto-optimal evaluation of ultimate limit states in offshore wind turbine structural analysisen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber14026-14039en_US
dc.source.volume8en_US
dc.source.journalEnergiesen_US
dc.identifier.doi10.3390/en81212414
dc.identifier.cristin1299813
dc.description.localcode©2015 by the author; licensee MDPI, Basel, Switzerland.This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/)en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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