SAM: Soumissions récentes
Voici les éléments 301-307 de 6541
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Article dans une revue avec comité de lecture(Elsevier BV, 2025-03)This paper proposes a model for predicting the complex inelastic mechanical response of polyamide 66. Polyamide 66 is a semi-crystalline pressure-sensitive polymer that exhibits asymmetric yielding behavior, in which the ...
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Article dans une revue avec comité de lecture(Elsevier BV, 2025-01)This contribution presents a new physics-informed deep homogenization neural network model for identifying local displacement and stress fields, as well as homogenized moduli, of nanocomposites with periodic arrays of ...
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Article dans une revue avec comité de lecture(Springer Science and Business Media LLC, 2022-08)In this work, a new class of iron-based high entropy shape memory alloys (HE-SMAs) have been designed, characterized, and optimized. These FeCu-NiMnV alloys (FeMn-like) with damping properties at low and high temperatures ...
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Article dans une revue avec comité de lecture(Elsevier BV, 2024-11)We present a novel elasticity-inspired data-driven Fourier homogenization network (FHN) theory for periodic heterogeneous microstructures with square or hexagonal arrays of cylindrical fibers. Towards this end, two ...
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Article dans une revue avec comité de lecture(Springer Science and Business Media LLC, 2024-04)This paper presents a topology optimization framework to achieve volume minimization with Crossland fatigue constraints under proportional loading using the Constrained Natural Element Method. The local minimization problem ...
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Detrimental effect of high-productivity L-PBF parameters on metal dusting resistance of Inconel 625 Article dans une revue avec comité de lecture(Elsevier BV, 2024-03)The effect of increased productivity in L-PBF manufacturing on the metal dusting resistance of Inconel 625 was studied at 610 ◦C. Two sets of processing parameters were tested: the standard parameters given by the machine ...
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Article dans une revue avec comité de lecture(Elsevier BV, 2024-01)The Proper Generalized Decomposition (PGD) is a Model Order Reduction framework that has been proposed to be able to do parametric analysis of physical problems. These parameters may include material properties, boundary ...
