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Probabilistic modeling of the size effect and scatter in High Cycle Fatigue using a Monte-Carlo approach: role of the defect population in cast aluminum alloys

dc.rights.licenseopenen_US
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorEL KHOUKHI, Driss
dc.contributor.authorMOREL, Franck
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorSAINTIER, Nicolas
dc.contributor.authorBELLETT, Daniel
dc.contributor.authorOSMOND, Pierre
dc.contributor.authorLE, Viet-Duc
dc.date.accessioned2021-12-14T14:36:43Z
dc.date.available2021-12-14T14:36:43Z
dc.date.issued2021-02-01
dc.identifier.issn0142-1123en_US
dc.identifier.urioai:crossref.org:10.1016/j.ijfatigue.2021.106177
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/124152
dc.description.abstractEnIn this study, a probabilistic model based on Monte-Carlo theory is applied to predict the fatigue behavior of cast aluminum alloys. The objective of the proposed approach is to investigate the effect of porosity (i.e. the defect size distribution and spatial density) on the fatigue strength and its associated scatter for uniaxial fatigue loads with the load ratio R = 0.1. The proposed model is applied to two cast aluminum alloys with very different defect characteristics. The results for these two alloys confirm that the model can be used to predict the average fatigue strength with a relative error <5%. It also accurately reproduces the experimentally observed trends concerning the scatter in fatigue strength. The scatter is underestimated but is of the same order of magnitude as the experimental values. It is believed that this is because the proposed model considers that the porosity is the only source of scatter. It is demonstrated that the model is well adapted for the prediction of the volume or scale effect in fatigue. This approach can also be used to estimate the Representative Volume Element in Fatigue for cast aluminum alloys.
dc.language.isoENen_US
dc.sourcecrossref
dc.subject.enHigh cycle fatigue
dc.subject.enCast aluminum alloys
dc.subject.enProbabilistic model
dc.subject.enRepresentative Volume Element (RVE)
dc.subject.enSize effect in fatigue
dc.subject.enHighly stressed volume
dc.subject.enScatter in fatigue strength
dc.subject.enCasting defect population
dc.title.enProbabilistic modeling of the size effect and scatter in High Cycle Fatigue using a Monte-Carlo approach: role of the defect population in cast aluminum alloys
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.ijfatigue.2021.106177en_US
dc.subject.halSciences de l'ingénieur [physics]/Matériauxen_US
bordeaux.journalInternational Journal of Fatigueen_US
bordeaux.page106177en_US
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.institutionINRAEen_US
bordeaux.institutionArts et Métiersen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcedissemin
hal.identifierhal-03480234
hal.version1
hal.date.transferred2021-12-14T14:36:45Z
hal.exporttrue
workflow.import.sourcedissemin
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&amp;rft_val_fmt=info:ofi/fmt:kev:mtx:journal&amp;rft.jtitle=International%20Journal%20of%20Fatigue&amp;rft.date=2021-02-01&amp;rft.spage=106177&amp;rft.epage=106177&amp;rft.eissn=0142-1123&amp;rft.issn=0142-1123&amp;rft.au=EL%20KHOUKHI,%20Driss&amp;MOREL,%20Franck&amp;SAINTIER,%20Nicolas&amp;BELLETT,%20Daniel&amp;OSMOND,%20Pierre&amp;rft.genre=article


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