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dc.contributor.authorCalderón Uriszar-Aldaca, Íñigo 
dc.contributor.authorBiezma Moraleda, María Victoria 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2017-08-28T07:44:55Z
dc.date.available2019-10-31T03:45:08Z
dc.date.issued2017-10
dc.identifier.issn0142-1123
dc.identifier.issn1879-3452
dc.identifier.urihttp://hdl.handle.net/10902/11590
dc.description.abstractFatigue under variable amplitude loading is currently assessed with the Palmgren-Miner rule in structural standards, ignoring the order of loading, which would require non-linear or mixed rules, especially for the random loading sequences applied to certain structures. Therefore, the goal is to develop a practical and simple correction factor ensuring the linear summation of damage is conservative, so as to take the sequence effect into account in random loading from natural sources. The theoretical consistency of this approach is demonstrated and a case study is developed to test the feasibility of the new rule and its simplicity.es_ES
dc.format.extent23 p.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rights© 2017, Elsevier. Licensed under the Creative Commons Reconocimiento-NoComercial-SinObraDerivadaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceInternational Journal of Fatigue, 2017, 103, 386-394es_ES
dc.subject.otherCumulative damagees_ES
dc.subject.otherVariable amplitude fatiguees_ES
dc.subject.otherDamage accumulationes_ES
dc.subject.otherSequence effectes_ES
dc.subject.otherRandom loadinges_ES
dc.titleA plain linear rule for fatigue analysis under natural loading considering the sequence effectes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1016/j.ijfatigue.2017.06.018es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1016/j.ijfatigue.2017.06.018
dc.type.versionacceptedVersiones_ES


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© 2017, Elsevier. Licensed under the Creative Commons Reconocimiento-NoComercial-SinObraDerivadaExcepto si se señala otra cosa, la licencia del ítem se describe como © 2017, Elsevier. Licensed under the Creative Commons Reconocimiento-NoComercial-SinObraDerivada