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Πεδίο DCΤιμήΓλώσσα
dc.contributor.authorSakaris, Christos S.-
dc.contributor.authorYang, Yang-
dc.contributor.authorBashir, Musa-
dc.contributor.authorMichailides, Constantine-
dc.contributor.authorWang, Jin-
dc.contributor.authorSakellariou, John S.-
dc.contributor.authorLi, Chun-
dc.date.accessioned2021-08-26T08:26:18Z-
dc.date.available2021-08-26T08:26:18Z-
dc.date.issued2021-12-
dc.identifier.citationRenewable Energy, 2021, vol. 179, pp. 1897-1914en_US
dc.identifier.issn09601481-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/22889-
dc.description.abstractThe structural health monitoring of a Floating Offshore Wind Turbine (FOWT) tendons, taking into account the comprehensive damage diagnosis problem of damage detection, damaged tendon identification and damage precise quantification under varying environmental and operating conditions (EOCs), is investigated for the first time. The study examines a new concept of a 10 MW multibody FOWT whose tower is supported by a platform consisting of two rigid-body tanks connected by 12 tendons. Normal and the most severe EOCs from a site located in the northern coast of Scotland, are selected for the simulation of the FOWT structure under constant current but varying wind and wave conditions. Dynamic responses of the platform under different damage states are obtained based on the simulated FOWT. The damage scenarios are modelled via stiffness reduction (%) at the tendon's connection point to the platform's upper tank. Damage diagnosis is achieved via an advanced method, the Functional Model Based Method, that is formulated to operate using a single response signal and stochastic Functional Models representing the structural dynamics under the effects of varying EOCs and any magnitude of the considered damages. Due to the robustness and high number of the existing tendons, the effects of considered damages on the FOWT dynamics are minor and overlapped by the effects of the varying EOCs, indicating a highly challenging damage diagnosis problem. Very good damage detection results are obtained with the damage detection almost faultless and with no false alarms. Accurate damaged tendon identification is achieved for the 95% of the considered test cases, while the mean error in damage quantification is approximately equal to 4% using measurements from just a single accelerometer within a very limited frequency bandwidth of [0–5] Hz.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofRenewable Energyen_US
dc.rights© Elsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectDamaged tendon diagnosisen_US
dc.subjectStructural health monitoringen_US
dc.subjectFunctional modelsen_US
dc.subjectStatistical time series methodsen_US
dc.subjectFloating offshore wind turbineen_US
dc.subjectVarying environmental and operating conditionsen_US
dc.titleStructural health monitoring of tendons in a multibody floating offshore wind turbine under varying environmental and operating conditionsen_US
dc.typeArticleen_US
dc.collaborationLiverpool John Moores Universityen_US
dc.collaborationNingbo Universityen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationUniversity of Patrasen_US
dc.collaborationUniversity of Shanghai for Science and Technologyen_US
dc.subject.categoryEnvironmental Engineeringen_US
dc.journalsSubscriptionen_US
dc.countryUnited Kingdomen_US
dc.countryChinaen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1016/j.renene.2021.08.001en_US
dc.identifier.scopus2-s2.0-85112526120-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85112526120-
dc.relation.volume179en_US
cut.common.academicyear2021-2022en_US
dc.identifier.spage1897en_US
dc.identifier.epage1914en_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.openairetypearticle-
crisitem.journal.journalissn0960-1481-
crisitem.journal.publisherElsevier-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-2016-9079-
crisitem.author.parentorgFaculty of Engineering and Technology-
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