Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM): Soumissions récentes

Voici les éléments 302-308 de 1328

    • Learning data-driven reduced elastic and inelastic models of spot-welded patches 
      Article dans une revue avec comité de lecture
      REILLE, Agathe; CHAMPANEY, Victor; DAIM, Fatima; TOURBIER, Yves; HASCOET, Nicolas; GONZALEZ, David; ccCUETO, Elias; DUVAL, Jean Louis; ccCHINESTA SORIA, Francisco (EDP Sciences, 2021)
      Solving mechanical problems in large structures with rich localized behaviors remains a challenging issue despite the enormous advances in numerical procedures and computational performance. In particular, these localized ...
    • Phase diagram of poly(VDF-ter-TrFE-ter-CTFE) copolymers: Relationship between crystalline structure and material properties 
      Article dans une revue avec comité de lecture
      BARGAIN, François; THUAU, Damien; HADZIIOANNOU, Georges; DOMINGUES DOS SANTOS, Fabrice; TENCÉ-GIRAULT, Sylvie (Elsevier, 2021)
      Depending on their CTFE content (from 0 to 10 mol %), poly(VDF-ter-TrFE-ter-CTFE), poly(vinylidene fluoride-ter-trifluoroethylene-ter-chlorotrifluoroethylene) copolymers, exhibit ferroelectric (FE) or relaxor ferroelectric ...
    • Multiscale modeling of the effective viscoplastic behavior of Mg 2 SiO 4 wadsleyite: bridging atomic and polycrystal scales 
      Article dans une revue avec comité de lecture
      CASTELNAU, Olivier; RITTERBEX, S.; CARREZ, P.; CORDIER, P.; MOULINEC, H.; ccDERRIEN, Katell (Elsevier Masson, 2020)
      The viscoplastic behavior of polycrystalline Mg2SiO4 wadsleyite aggregates, a major high pressure phase of the mantle transition zone of the Earth (depth range: 410–520 km), is obtained by properly bridging several scale ...
    • The international journal of material forming - 10th anniversary 
      Article dans une revue avec comité de lecture
      ccCHINESTA SORIA, Francisco (Springer Science and Business Media LLC, 2021)
      Editorial
    • Structure-preserving neural networks 
      Article dans une revue avec comité de lecture
      HERNÁNDEZ, Quercus; BADÍAS, Alberto; GONZÁLEZ, David; ccCHINESTA SORIA, Francisco; ccCUETO, Elias (Elsevier, 2021)
      We develop a method to learn physical systems from data that employs feedforward neural networks and whose predictions comply with the first and second principles of thermodynamics. The method employs a minimum amount of ...
    • Comparison of Holmium:YAG and Thulium Fiber Lasers on the Risk of Laser Fiber Fracture 
      Article dans une revue avec comité de lecture
      UZAN, Audrey; CHIRON, Paul; PANTHIER, Frédéric; HADDAD, Mattieu; BERTHE, Laurent; DOIZI, Steeve; ccTRAXER, Olivier (2021)
      Objectives: To compare the risk of laser fiber fracture between Ho:YAG laser and Thulium Fiber Laser (TFL) with different laser fiber diameters, laser settings, and fiber bending radii. METHODS: Lengths of 200, 272, and ...
    • Periodic smoothing splines for FFT-based solvers 
      Article dans une revue avec comité de lecture
      MORIN, Léo; BRENNER, Renald; DORHMI, Khaoula; ccDERRIEN, Katell (Elsevier, 2021)
      The aim of this paper is to develop a periodic smoother based on splines for FFT-based solvers. Spurious oscillations in FFT-based methods are shown to be due to pseudo-spectral differentiation of discontinuous fields. An ...