Afficher la notice abrégée

dc.rights.licenseopenen_US
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorWILSON, Pablo
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorSAINTIER, Nicolas
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorPALIN-LUC, Thierry
dc.contributor.authorSUDRET, Bruno
dc.contributor.authorBERGAMO, Sebastien
dc.date.accessioned2022-10-14T12:58:02Z
dc.date.available2022-10-14T12:58:02Z
dc.date.issued2023-01-01
dc.identifier.issn0142-1123en_US
dc.identifier.urioai:crossref.org:10.1016/j.ijfatigue.2022.107206
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/170024
dc.description.abstractEnCast aluminium alloys, and more widely cast materials, are frequently used in industry. The casting process allows for complex geometries of parts, but, on the downside, often causes materials voids. It is well known these material defects are harmful for material fatigue performances, but the nature of these defects, in a statistical manner, are more seldom studied. This paper aims at proposing a methodology for finding the underlying characteristics of the defect population (size and spatial distribution) and determine their implication on fatigue behaviour in the presence of stress/strain gradients (notched specimens). To do so, various statistical tools are brought from different fields, such as point processes, and applied to experimentally observed defect distributions (by CT tomography on virgin test specimens). The population of defects is clearly identified, and it is shown these defects are not randomly distributed, but rather in cluster. It is also shown there is no strong link between the defect size an it’s location. Knowing the statistics of the defect population, it is then possible to confront the result of fatigue tests (and the observed initiating defects) with the simulated defect population: the fatigue crack initiation mechanisms, which favour (sub-) surface rather than core initiating defects, reduce the size of the active zone and therefore artificially shift the defect size distribution (by reducing their number).
dc.language.isoENen_US
dc.sourcecrossref
dc.title.enStatistical study of the size and spatial distribution of defects in a cast aluminium alloy for the low fatigue life assessment
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.ijfatigue.2022.107206en_US
bordeaux.journalInternational Journal of Fatigueen_US
bordeaux.page107206en_US
bordeaux.volume166en_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.exportfalse
workflow.import.sourcedissemin
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=International%20Journal%20of%20Fatigue&rft.date=2023-01-01&rft.volume=166&rft.spage=107206&rft.epage=107206&rft.eissn=0142-1123&rft.issn=0142-1123&rft.au=WILSON,%20Pablo&SAINTIER,%20Nicolas&PALIN-LUC,%20Thierry&SUDRET,%20Bruno&BERGAMO,%20Sebastien&rft.genre=article


Fichier(s) constituant ce document

FichiersTailleFormatVue

Il n'y a pas de fichiers associés à ce document.

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée