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hal.structure.identifierInstitut Clément Ader [ICA]
dc.contributor.authorJAILLON, Agathe
hal.structure.identifierInstitut de Mécanique et d'Ingénierie de Bordeaux [I2M]
dc.contributor.authorJUMEL, Julien
hal.structure.identifierInstitut Clément Ader [ICA]
dc.contributor.authorPAROISSIEN, Eric
hal.structure.identifierInstitut Clément Ader [ICA]
dc.contributor.authorLACHAUD, Frederic
dc.date.accessioned2021-05-14T09:34:12Z
dc.date.available2021-05-14T09:34:12Z
dc.date.issued2019
dc.date.conference2019-08-11
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/76112
dc.description.abstractEnAdhesive bonding is usually modelled using cohesive zone models (CZM) which are defined by traction-separation (TS) law. For mode I loading condition these phenomenological laws simply represent the evolution of the peel stress as a function of the two adherends relative displacement normal to the joint. However, TS law shape is often empirically chosen rather than being measured. The uncertainty on parameter estimation is generally not indicated even though it strongly influences the reliability of the bonded joint strength prediction. Moreover there are several mechanical data that can be obtained experimentally from crack initiation and propagation experiments on a Double Cantilever Beam Test (DCB). In general, TS parameters are chosen from load-displacement curves, which is the most straightforward mechanical response to obtain. However, the development of digital image correlation has enabled to access more numerous data, such as adherends’ deflection and rotation along the overlap and at loading point. The latter can be directly used to obtain the J integral. Adherends’ deformation can also be measured through the use of resistive strain gauges. Therefore, these different identification methods need to be compared in terms of parameter estimation confidence intervals. To do so, a numerical test campaign has been carried out for each mechanical response (i.e. load-displacement, J integral, and strain measurement) a synthetic noise is added to the nominal response in order to artificially represent measurement data. The noisy response is then used for the identification of the parameters using a nonlinear least square minimization. Once the data are fitted, the parameters sensitivity and confidence intervals can then be established enabling the rigorous evaluation of these different techniques to capture the best parameters for a chosen CZM shape.
dc.language.isoen
dc.source.titleProceedings of the 22nd International Conference on Composite Materials - 2019
dc.subject.enDCB
dc.subject.enCohesive zone model
dc.subject.enChi-square minimization
dc.subject.enSensitivity
dc.subject.enConfidence interval
dc.title.enCohesive zone model identification on mode I bonded assembly: sensitivity analysis
dc.typeCommunication dans un congrès avec actes
dc.subject.halSciences de l'ingénieur [physics]/Mécanique [physics.med-ph]/Mécanique des matériaux [physics.class-ph]
dc.subject.halSciences de l'ingénieur [physics]/Mécanique [physics.med-ph]/Mécanique des structures [physics.class-ph]
bordeaux.page1-12
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.countryAU
bordeaux.title.proceedingThe 22nd International Conference on Composite Materials (ICCM22)
bordeaux.conference.cityMelbourne
bordeaux.peerReviewedoui
hal.identifierhal-02882215
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02882215v1
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