Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM): Recent submissions

Now showing items 582-588 of 1243

    • Non-intrusive Sparse Subspace Learning for Parametrized Problems 
      Article dans une revue avec comité de lecture
      BORZACCHIELLO, Domenico; AGUADO, José Vicente; ccCHINESTA SORIA, Francisco (Springer Verlag, 2019)
      We discuss the use of hierarchical collocation to approximate the numerical solution of parametric models. With respect to traditional projection-based reduced order modeling, the use of a collocation enables non-intrusive ...
    • Physically sound, self-learning digital twins for sloshing fluids 
      Article dans une revue avec comité de lecture
      MOYA, Beatriz; GONZALEZ, David; CUETO, Elías; ALFARO, Icíar; ccCHINESTA SORIA, Francisco (Public Library of Science, 2020)
      In this paper, a novel self-learning digital twin strategy is developed for fluid sloshing phenomena. This class of problems is of utmost importance for robotic manipulation of fluids, for instance, or, in general, in ...
    • Tape surfaces characterization with persistence images 
      Article dans une revue avec comité de lecture
      FRAHI, Tarek; ARGERICH, Clara; YUN, Minyoung; FALCO, Antonio; BARASINSKI, Anais; ccCHINESTA SORIA, Francisco (AIMS Press, 2020)
      The aim of this paper is to leverage the main surface topological descriptors to classify tape surface profiles, through the modelling of the evolution of the degree of intimate contact along the consolidation of pre-impregnated ...
    • Shape parametrization of bio-mechanical finite element models based on medical images 
      Article dans une revue avec comité de lecture
      LAUZERAL, Nathan; BORZACCHIELLO, Domenico; KUGLER, Michaël; GEORGE, Daniel; RÉMOND, Yves; HOSTETTLER, Alexandre; ccCHINESTA SORIA, Francisco (Taylor & Francis, 2019)
      The main objective of this study is to combine the statistical shape analysis with a morphing procedure in order to generate shape-parametric finite element models of tissues and organs and to explore the reliability and ...
    • Data-driven GENERIC modeling of poroviscoelastic materials 
      Article dans une revue avec comité de lecture
      GONZÁLEZ, David; CUETO, Elías G.; ALFARO, Icíar; ccGHNATIOS, Chady; ccCHINESTA SORIA, Francisco (MDPI, 2019)
      Biphasic soft materials are challenging to model by nature. Ongoing efforts are targeting their effective modeling and simulation. This work uses experimental atomic force nanoindentation of thick hydrogels to identify the ...
    • Parametric evaluation of part distortion in additive manufacturing processes 
      Article dans une revue avec comité de lecture
      QUARANTA, Giacomo; HAUG, Eberhard; DUVAL, Jean Louis; ccCHINESTA SORIA, Francisco (Springer Verlag, 2020)
      Additive manufacturing is the more and more considered in industry, however efficient simulation tools able to perform accurate predictions are still quite limited. The main difficulties for an efficient simulation are ...
    • Nonlinear Regression Operating on Microstructures Described from Topological Data Analysis for the Real-Time Prediction of Effective Properties 
      Article dans une revue avec comité de lecture
      YUN, Minyoung; ARGERICH, Clara; CUETO, Elias; DUVAL, Jean Louis; ccCHINESTA SORIA, Francisco (MDPI, 2020)
      Real-time decision making needs evaluating quantities of interest (QoI) in almost real time. When these QoI are related to models based on physics, the use of Model Order Reduction techniques allows speeding-up calculations, ...