Laboratoire d'Etude des Microstructures et de Mécanique des Matériaux (LEM3): Soumissions récentes
Voici les éléments 29-35 de 480
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Ductility limit prediction for polycrystalline aggregates using a CPFEM-based multiscale framework Article dans une revue avec comité de lecture(Elsevier BV, 2023-08)The ductility of polycrystalline aggregates is usually limited by two main phenomena: plastic strain localization and void coalescence. The goal of this contribution is to develop a new multiscale framework, based on the ...
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Article dans une revue avec comité de lecture(Elsevier BV, 2023-04)Although presenting attractive features in dealing with small-scale size effects, strain gradient plasticity (SGP) theories can lead to uncommon phenomena for some boundary value problems. Almost all non-incremental ...
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Article dans une revue avec comité de lecture(Elsevier BV, 2023-03)Ductile failure reveals to be an anisotropic phenomenon, for which the proper mechanism has not been clearly addressed yet in the literature. In this paper, the effects of some key anisotropy factors on ductile failure ...
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Article dans une revue avec comité de lecture(Wiley - VCH Gmbh, 2023-03)Improving the strength-to-ductility trade-off remains the prime driving force for the development of advanced high-strength steel. Traditionally research breakthroughs are focused on the microstructure and relative phase ...
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Article dans une revue avec comité de lecture(ELSEVIER, 2023-05)In this work, a new constitutive model is proposed to describe the thermally-activated hardening recovery mechanism in metallic materials. This model takes up the concept of hardening recovery variable, which is extended ...
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Article dans une revue avec comité de lecture(Elsevier BV, 2023-06)Terahertz pulsed imaging, combined with spatial and temporal signal and image processing, is performed to visualize the woven fabric in the various plies of glass-fiber-reinforced polymer laminates and to determine ...
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Article dans une revue avec comité de lecture(Elsevier BV, 2023-05)Elements of the periodic homogenization framework and deep neural network were seamlessly connected for the first time to construct a new micromechanics theory for thermoconductive composites called physically informed ...