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dc.contributor.authorBaxevani, Anastassiaen
dc.contributor.authorRychlik, I.en
dc.creatorBaxevani, Anastassiaen
dc.creatorRychlik, I.en
dc.date.accessioned2019-12-02T10:33:50Z
dc.date.available2019-12-02T10:33:50Z
dc.date.issued2007
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/56480
dc.description.abstractA method for calculating the wave load induced fatigue damage accumulated by a vessel sailing along the North Atlantic route (NAr) is presented. This method is based on the Palmgren-Miner additive rule and the rainflow cycle (RFC) count. For simplicity, the load the vessel experiences is assumed to be proportional to the encountered significant wave height process, Hs. The asymptotically normal character of the nominal damage is proved and used to derive the probability distribution of the fatigue life prediction. The proposed method improves on the already existing ones by making use of the information contained in the variance of the fatigue damage accumulated during the voyages. The method is illustrated through numerical examples. © 2006 Elsevier Ltd. All rights reserved.en
dc.sourceProbabilistic Engineering Mechanicsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-33847387015&doi=10.1016%2fj.probengmech.2006.10.001&partnerID=40&md5=b9e7a6fd9ed5418853ce1310e7f4526b
dc.subjectInformation analysisen
dc.subjectProbability distributionsen
dc.subjectGaussian random fieldsen
dc.subjectFatigue of materialsen
dc.subjectFatigue damageen
dc.subjectLocally stationaryen
dc.subjectLogic programmingen
dc.subjectRainflow cycle (RFC)en
dc.subjectSailing vesselsen
dc.titleFatigue life prediction for a vessel sailing the North Atlantic routeen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1016/j.probengmech.2006.10.001
dc.description.volume22
dc.description.issue2
dc.description.startingpage159
dc.description.endingpage169
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics
dc.type.uhtypeArticleen
dc.description.notes<p>Cited By :5</p>en
dc.source.abbreviationProbab Eng Mechen
dc.contributor.orcidBaxevani, Anastassia [0000-0002-7498-9048]


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