Laboratoire d'Etude des Microstructures et de Mécanique des Matériaux (LEM3): Soumissions récentes
Voici les éléments 78-84 de 497
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Communication avec acte(Elsevier, 2016)It is well known that both damage and plastic anisotropy strongly affect the ductility limit of thin metal sheets. Due to the manufacturing processes, initial defects, such as inclusions and voids, are commonly present in ...
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Article dans une revue avec comité de lecture(Elsevier, 2021)From the liquid state to room temperature, two successive solid-state phase transitions occur in pure zirconia. It is well-known that the last one (tetragonal to monoclinic) is martensitic and induces large volume variations ...
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Communication sans acte(AJM Ferreira et al., 2017)This paper introduces a new meshless method named Taylor Meshless Method (TMM) using Taylor series to deduce the shape functions. Next the problem is discretized by point-collocation only on the boundary and without ...
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Scalar-based strain gradient plasticity theory to model size-dependent kinematic hardening effects Article dans une revue avec comité de lecture(Springer Verlag, 2021)A common belief in phenomenological strain gradient plasticity modeling is that including the gradient of scalar variables in the constitutive setting leads to size-dependent isotropic hardening, whereas the gradient of ...
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Article dans une revue avec comité de lecture(2021)Buckling and wrinkling of thin structures often lead to very complex response curves that are hard to follow by standard path-following techniques, especially for very thin membranes in a slack or nearly slack state. Many ...
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Analysis of Residual Stress Relaxation Under Mechanical Cyclic Loading of Shot-Peened TRIP780 Steel Communication avec acte(Materials Research Forum LLC, 2016)Shot-peening is a popular mechanical surface treatment used in automotive and aeronautical industries to enhance life duration of mechanical parts by introducing compressive residual stresses. TRIP 780 fatigue type specimens ...
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Article dans une revue avec comité de lecture(American Institute of Physics, 2020)In this communication, a multi-task deep learning-driven homogenization scheme is proposed for predicting the effective thermomechanical response of unidirectional composites consisting of a random array of inhomogeneity. ...