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Modelling of fatigue crack propagation using Piecewise Deterministic Markov Processes

hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorGÉGOUT-PETIT, Anne
hal.structure.identifierInstitut de Mécanique et d'Ingénierie de Bordeaux [I2M]
dc.contributor.authorTOUZET-CORTINA, Marie
hal.structure.identifierInstitut de Mécanique et d'Ingénierie de Bordeaux [I2M]
dc.contributor.authorPUIGGALI, Monique
hal.structure.identifierInstitut de Mécanique et d'Ingénierie de Bordeaux [I2M]
dc.contributor.authorBEN ABDESSALEM, Anis
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorAZAÏS, Romain
dc.date.accessioned2021-05-14T10:04:12Z
dc.date.available2021-05-14T10:04:12Z
dc.date.created2012-06
dc.date.issued2012-06
dc.date.conference2012-06
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/78464
dc.description.abstractEnFatigue crack propagation is a stochastic phenomenon in nature due to the inherent uncertainties coming from material properties, environmental conditions and loads. Stochastic processes offer an appropriate framework for modelling crack propagation since it is intended to include sources variabilities. In this work, we propose to model crack propagation mechanism with Piecewise Deterministic Markov Process (PDMP) using usual random crack laws. A new modelling is proposed that consists in using more than one law as each one is more suitable for a specific phase during crack propagation. Regime-switching models seem very attractive and with our modelling assessed crack growth rates and crack lengths are very close to experimental values.
dc.language.isoen
dc.source.titleENGOTP2012
dc.subject.enFatigue
dc.subject.encrack propagation
dc.subject.enpiecewise deteministic Markov process
dc.subject.enmodelling
dc.subject.enswitching model
dc.title.enModelling of fatigue crack propagation using Piecewise Deterministic Markov Processes
dc.typeCommunication dans un congrès avec actes
dc.subject.halMathématiques [math]/Statistiques [math.ST]
dc.subject.halStatistiques [stat]/Théorie [stat.TH]
bordeaux.page6 p
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.countryBR
bordeaux.title.proceeding3rd International Conference on Engineering Optimization
bordeaux.peerReviewedoui
hal.identifierhal-00762214
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00762214v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=ENGOTP2012&rft.date=2012-06&rft.spage=6%20p&rft.epage=6%20p&rft.au=G%C3%89GOUT-PETIT,%20Anne&TOUZET-CORTINA,%20Marie&PUIGGALI,%20Monique&BEN%20ABDESSALEM,%20Anis&AZA%C3%8FS,%20Romain&rft.genre=proceeding


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