Cette thèse s'inscrit dans le contexte de l’étude de l’effet de l’identification des paramètres matériau sur la prévision du comportement cyclique. Une étude de l’effet de la pré-déformation sur la réponse du matériau vis à vis le rochet est aussi présentée. Pour cela deux types d’expériences ont été menés au sein de l’équipe Mécanique du Groupe de Physique des Matériaux (GPM, UMR 6634) à l’INSA de Rouen sur un acier inoxydable de type 304L : Les essais EXP1 contenant des essais à déformation imposée axiale et multiaxiale et des essais de rochet en une et deux phases. Ces essais sont tirés de la littérature et nous ont servi de base de donnée pour la réalisation des différentes étapes de l’identification. Les essais EXP2 contenant des essais de rochet après déformation imposée.Ils sont réalisés dans le cadre de cette étude et permettent l’étude de l’effet de la pré déformation sur le phénomène de rochet. L’identification des paramètres est faite‘’automatiquement’’ avec une méthode d’optimisation en utilisant des bases de données à complexité croissante. Les paramètres identifiés sont ensuite injectés dans des simulations qui seront superposées avec les courbes expérimentales. L’ensemble des simulations est fait avec le code de calcul Zébulon avec le choix du modèle de Chaboche. Les résultats obtenus montrent l’effet de la pré déformation sur le rochet selon les histoires, les mêmes conditions à contraintes imposées peuvent mener à différents comportements cycliques : Elastique et adaptation plastique dans d’autre cas. La pré-déformation précédente peut également mener à l'anisotropie du matériau conduisant à un faible rochet sous traction compression avec une contrainte moyenne nulle !L'étude précise également l'importance de la base de données expérimentale utilisée pour l'identification de paramètres. Le choix des essais devrait étroitement être lié aux équations constitutives du modèle choisis . À savoir, la présence des essais à déformation imposée non proportionnelle peut être non appropriée si le modèle ne peut pas tenir compte explicitement d'un tel caractère. / This work has a first objective to point out the importance of the quality of the experimental data base used for the identification of the material parameters. For this goal,we will combine proportional and non proportional strain controlled as well as ratcheting tests to constitute different data bases. This work has also another objective related to an experimental study in order to see how previous strain controlled history may affect ratcheting. Such a situation may be encountered in different manufacturing processes. New tests were performed here where different strain controlled histories have been applied prior to tension-compression stress controlled tests. All tests considered here were carried out using tubular specimens made up of 304L stainless steel. In order to minimize the discrepancy of the material behavior, In this study, we consider two groups of stress/strain controlled experiments EXP1 and EXP2 performed on the 304L stainless steel. These tests have been conducted applying a sufficient number of cycles leading to the stabilization of thecyclic material response. The first set (EXP1) is taken from our previous works, it will be used in order to identify the parameters of Chaboche’s model with different combinations of strain and/or stress controlled tests. The second set (EXP2) is performed in this study; it includes tests composed of two sequences where strain controlled experiments are followed by ratcheting tests. The responses EXP2 will be simulated by Chaboche’s model with the different set of parameters identified with EXP1.The obtained results reveal the importance of such a role as according to the previous history, the same stress controlled conditions may lead to different cyclic behaviors: fully elastic in one case and plastic shakedown in anothercase. The previous pre-straining may also lead to the anisotropy of the material leading to slight ratcheting under tension-compression with zero mean stress! The study points out also the importance of the content of the experimental data base used for the parameters identification. The choice of the tests should be closely linked to the capabilities of the constitutive equations used. Namely, the presence of non proportional strain controlled tests may be not suitable if the model is not able to take into account explicitly such a character. Finally, in the industrial applications, the choice of the tests to be included for the identification process should also take into account the stress and strain states for the identification process should also take into account the stress and strain states applied to the considered components when such information is available.

Buried pipeline networks play a vital role in the transportation of oil and natural gas from centers of production to centers of consumption. A common manufacturing technique for such pipes is the UOE process, where a flat steel plate is first formed into a U shape, then into an O shape, welded at the seam, and mechanically expanded before being shipped on site. The UOE forming process deforms the pipe material plastically and induces residual strains in the pipe. Such pipes are commonly buried on side and then are pressurized under the high head of the fluids they convey which induce hoop stresses as high as 80% of the pipe yield strength. When buried pipelines cross the regions of discontinuous permafrost, they undergo differential frost heaving, inducing significant bending deformations, which potentially induce local buckling in the pipe wall. To control local buckling, design standards impose threshold limits on buckling strains. Such threshold values are primarily based on costly full-scale experimental results. Past nonlinear finite element analysis attempts aiming at determining the threshold buckling strains have neglected the presence of residual stresses induced by the UOE forming and were thus found to grossly overestimate the buckling strains compared to those based experiments. Within the above context, the present study focuses on developing a numerical technique to predict the residual stresses induced during UOE forming, and incorporating the induced residual stresses in 3D nonlinear FEA modeling to more reliably predict buckling strain limits. Comparisons with conventional analysis techniques that omit residual stresses reveal the importance of incorporating residual stresses induced in forming when quantifying buckling strains.

The master‘s thesis is aimed on numerical simulation of autofrettage of high pressure fuel vessel – rail in Common Rail system. First there is described Chaboche model, which is later used for simulation of autofrettage. There are described different approaches which can be used to obtain sufficient material model. Then there is observed influence of these different approaches on stress state of rail within the process of autofrettage. Suitability of Chaboche model for autofrettage and re-autofrettage simulations is assessed by comparing with more complex Jiang model. In the end there is a study of influence of autofrettage pressure on different properties, especially on residual stresses.