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dc.contributor.authorZabala, Alaitz
dc.contributor.authorInfante-García, D.
dc.contributor.authorGiner, E.
dc.contributor.authorGoel, S.
dc.contributor.authorEndrino, J.L.
dc.contributor.authorLlavori, Inigo
dc.date.accessioned2026-06-11T12:53:57Z
dc.date.available2026-06-11T12:53:57Z
dc.date.issued2020
dc.identifier.issn0301-679Xen
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=153196en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/14532
dc.description.abstractThis work analyses the viability of the theory of critical distances (TCD) using mesh control for fretting fatigue lifetime assessment. More than seven hundred sets of simulations were performed by taking seventy different experimental tests reported previously in the literature. The outcome of the present study suggests that the TCD mesh control method can be extended to fretting fatigue problems by the reasonable assumption of setting the right element size proportional to critical distance. In this study, a significant computational time reduction of up to 97% was obtained. Thus, this study provides a simple method to design complex 3D industrial components subjected to fretting fatigue phenomena using finite element analysis efficiently without requiring complex remeshing techniques.en
dc.language.isoengen
dc.publisherElsevieren
dc.rights© 2019 Elsevieren
dc.subjectFretting fatiguees
dc.subjectFretting fatigueen
dc.subjectTheory of critical distances (TCD)en
dc.subjectFinite element analysisen
dc.titleOn the use of the Theory of Critical Distances with mesh control for fretting fatigue lifetime assessmenten
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceTribology Internationalen
local.contributor.groupTecnologías de superficieses
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1016/j.triboint.2019.105985en
local.contributor.otherinstitutionhttps://ror.org/03ths8210es
local.contributor.otherinstitutionhttps://ror.org/01460j859es
local.source.details2020 Vol. 142. N. art. 105985en
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaen
oaire.funderNameGobierno Vascoen
oaire.funderIdentifierhttps://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086en
oaire.fundingStreamElkartek 2019en
oaire.awardNumberKK-2019/00067en
oaire.awardTitleDesarrollo de métodos numéricos y experimentales para vehículos eléctricos multimateria (MULTIMAT+)en
dc.unesco.clasificacionhttp://skos.um.es/unesco6/3312en


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