Laboratoire d'Etude des Microstructures et de Mécanique des Matériaux (LEM3): Soumissions récentes
Voici les éléments 1-7 de 494
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Article dans une revue avec comité de lecture; ; ; ; ; ;
PESCI, Raphaël; ; (Elsevier BV, 2025-06)
This study investigates the evolution of structure and microstructure alongside thermomechanical properties of Ni80Co17Mo3 alloy powder mixture subjected to high-energy mechanical milling. Scanning electron microscopy ... -
Article dans une revue avec comité de lecture;BEN BETTAIEB, Mohamed; ABED-MERAIM, Farid (2025-04)
A new crystal plasticity finite element (CPFE) approach is developed to predict the mechanical behavior and ductility limits of thin metal sheets. Within this approach, a representative volume element (RVE) is chosen to ...
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Article dans une revue avec comité de lectureEL FALLAKI IDRISSI, Mohammed; ; MERAGHNI, Fodil; PRAUD, Francis; (Elsevier BV, 2025-03)
This paper presents an advanced meta-modeling framework that efficiently combines Machine Learning and Model Order Reduction (MOR) techniques for real-time virtual testing of woven composite materials. The framework is ...
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Article dans une revue avec comité de lecture;PIOTROWSKI, Boris; MERAGHNI, Fodil; (2025-03)
Medical implants are a common treatment for orthopedic injuries. Their apparent stiffness can be reduced by using architected internal lattices to match the gradient stiffness of the bone, thereby avoiding postoperative ...
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Article dans une revue avec comité de lecture; ;BEN BETTAIEB, Mohamed; ; ABED-MERAIM, Farid (SAGE Publications, 2024-12)
In this work, experimental tests and numerical simulations are carried out to investigate the buckling behavior and failure modes of auxetic cellular structures and sandwich panels with auxetic cores. Different Poisson's ...
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Article dans une revue avec comité de lectureSATOURI, Soheil; CHATZIGEORGIOU, George; MERAGHNI, Fodil; (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;CHATZIGEORGIOU, George; MERAGHNI, Fodil; ; (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 ...
