Advances in low cycle fatigue probabilistic modeling

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dc.contributor.authorCanteli, Alfonso Fernándezcs
dc.contributor.authorCastillo, Enriquecs
dc.contributor.authorDÍAZ-SALAMANCA, Diegocs
dc.contributor.authorMuňiz-Calvente, Miguelcs
dc.contributor.authorSeitl, Stanislavcs
dc.coverage.issue8cs
dc.coverage.volume133cs
dc.date.accessioned2025-06-13T12:55:51Z
dc.date.available2025-06-13T12:55:51Z
dc.date.issued2024-08-07cs
dc.description.abstractNew advances in the probabilistic S-N model proposed by Castillo and Canteli are presented. The requirements for a S-N model derivation to be valid are emphasized, in particular, that of the compatibility between the statistical distributions of lifetime and stress reference variable. The definition of the generalized reference variable (GRV) in the S-N field, as GRV = psi & sdot;sigma M, where psi is a non-dimensional factor derived from the sigma - epsilon law of the material, allows the former model to be applied to LCF data. The new model ensures the incontrovertible and unitary definition of the scatter band in the S-N field and the justification of an asymptotic lower limit of the lifetime, N0. As a result, the stress- and strain-based approaches can be envisaged as a unique probabilistic psi sigma M -N approach applicable in the three conventional, i.e., LCF, HCF and VHCF domains. An extension as the psi sigma M -R -N model that includes the stress ratio effect is presented. The utility of the model is confirmed with the assessment of LCF data from different external experimental campaigns.en
dc.formattextcs
dc.format.extent1-16cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationTheoretical and Applied Fracture Mechanics. 2024, vol. 133, issue 8, p. 1-16.en
dc.identifier.doi10.1016/j.tafmec.2024.104611cs
dc.identifier.issn0167-8442cs
dc.identifier.orcid0000-0002-4953-4324cs
dc.identifier.other193654cs
dc.identifier.researcheridG-8592-2014cs
dc.identifier.scopus14059029400cs
dc.identifier.urihttps://hdl.handle.net/11012/252353
dc.language.isoencs
dc.publisherELSEVIERcs
dc.relation.ispartofTheoretical and Applied Fracture Mechanicscs
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S0167844224003616cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/0167-8442/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectS -N modelen
dc.subjectLow cycle Fatigue (LCF)en
dc.subjectProbabilistic assessmenten
dc.subjectGeneralized reference variable (GRV)en
dc.subjectpsi non-dimensional factoren
dc.subjectExperimental validationen
dc.titleAdvances in low cycle fatigue probabilistic modelingen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-193654en
sync.item.dbtypeVAVen
sync.item.insts2025.06.13 14:55:51en
sync.item.modts2025.06.13 14:32:57en
thesis.grantorVysoké učení technické v Brně. Fakulta stavební. Ústav stavební mechanikycs
thesis.grantorVysoké učení technické v Brně. . UNIVERSIDAD DE OVIEDOcs
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