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dc.contributor.authorMackay, E
dc.contributor.authorde Hauteclocque, G
dc.date.accessioned2023-02-21T09:56:50Z
dc.date.issued2023-02-17
dc.date.updated2023-02-21T08:49:00Z
dc.description.abstractThis paper presents a method for estimating environmental contours in an arbitrary number of dimensions. The method, referred to as Direct-IFORM, does not require a model for the joint distribution of the variables. It can therefore be applied in higher dimensions without degradation in performance. The method involves multiple univariate analyses under rotations of the axes to estimate return values in various directions, which are used to form a contour. The method accounts for serial correlation in the observations, which removes the positive bias that occurs when this is neglected. An efficient open-source code is provided for estimating Direct-IFORM contours. A four-dimensional example is presented for contours of wind speed, wave height, wave period and wind-wave misalignment direction. The application of the method to the design of offshore wind turbines is discussed.en_GB
dc.description.sponsorshipEuropean Regional Development Fund (ERDF)en_GB
dc.format.extent113959-113959
dc.identifier.citationVol. 273, article 113959en_GB
dc.identifier.doihttps://doi.org/10.1016/j.oceaneng.2023.113959
dc.identifier.urihttp://hdl.handle.net/10871/132513
dc.identifierORCID: 0000-0001-7121-4231 (Mackay, Edward)
dc.identifierScopusID: 34168173000 (Mackay, Edward)
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights© 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectJoint extremesen_GB
dc.subjectMultivariate statisticsen_GB
dc.subjectSerial correlationen_GB
dc.subjectExtreme responseen_GB
dc.subjectOpen-source codeen_GB
dc.titleModel-free environmental contours in higher dimensionsen_GB
dc.typeArticleen_GB
dc.date.available2023-02-21T09:56:50Z
dc.identifier.issn1873-5258
dc.descriptionThis is the final version. Available on open access from Elsevier via the DOI in this recorden_GB
dc.descriptionData availability: Data will be made available on request.en_GB
dc.identifier.journalOcean Engineeringen_GB
dc.relation.ispartofOcean Engineering, 273
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-02-12
dcterms.dateSubmitted2022-11-26
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-02-17
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-02-21T08:49:05Z
refterms.versionFCDVoR
refterms.dateFOA2023-02-21T09:56:55Z
refterms.panelBen_GB
refterms.dateFirstOnline2023-02-17


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© 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).