Now showing items 1-14 of 14

    • A data-driven learning method for constitutive modeling: application to vascular hyperelastic soft tissues 

      González Ibáñez, David; García González, Alberto; Chinesta Soria, Francisco; Cueto Prendes, Elias (Multidisciplinary Digital Publishing Institute (MDPI), 2020-05-01)
      Article
      Open Access
      We address the problem of machine learning of constitutive laws when large experimental deviations are present. This is particularly important in soft living tissue modeling, for instance, where large patient-dependent ...
    • A local multiple proper generalized decomposition based on the partition of unity 

      Ibáñez Pinillo, Rubén; Abisset Chavanne, Emmanuelle; Chinesta Soria, Francisco; Huerta, Antonio; Cueto Prendes, Elias (John Wiley & sons, 2019-10-12)
      Article
      Open Access
      It is well known that model order reduction techniques that project the solution of the problem at hand onto alow-dimensional subspace present difficulties when this solution lies on a non-linear manifold. To overcomethese ...
    • A multidimensional data-driven sparse identification technique: the sparse proper generalized decomposition 

      Ibáñez Pinillo, Rubén; Abisset Chavanne, Emmanuelle; Ammar, Amine; González Ibáñez, David; Cueto Prendes, Elias; Huerta, Antonio; Duval, Jean Louis; Chinesta Soria, Francisco (2018-01-01)
      Article
      Open Access
      Sparse model identification by means of data is especially cumbersome if the sought dynamics live in a high dimensional space. This usually involves the need for large amount of data, unfeasible in such a high dimensional ...
    • Advanced harmonic techniques for solving the transient heat equation 

      Aguado, José Vicente; Huerta, Antonio; Chinesta, Francisco; Cueto Prendes, Elias; Leygue, Adrien (Sociedad Española de Métodos Numéricos en Ingeniería (SEMNI), 2013)
      Conference report
      Restricted access - publisher's policy
      Simulation-based management of processes has always been a big challenge because of the difficulty to merge two apparently opposed idea s: the real time handling demanded by the process, and the traditionally strong ...
    • An error estimator for real-time simulators based on model order reduction 

      Alfaro, Icíar; González, David; Zlotnik, Sergio; Díez, Pedro; Cueto Prendes, Elias; Chinesta, Francisco (Springer, 2015-11-26)
      Article
      Open Access
      Model order reduction (MOR) is one of the most appealing choices for real-time simulation of non-linear solids. In this work a method is presented in which real time performance is achieved by means of the o -line solution ...
    • Computational vademecums for a fast and reliable simulation of RTM processes 

      Abisset Chavanne, Emmanuelle; Cueto Prendes, Elias; Huerta, Antonio; Chinesta, Francisco (Universidad de Sevilla. Grupo de Elasticidad y Resistencia de Materiales, 2014)
      Conference report
      Open Access
      Proper Generalized Decomposition methods allow to obtain an efficient solution for multi-parametric problems without the need for simulating numerous problems to obtain a response surface. Instead, PGD obtains a priori a ...
    • Deim-based PGD for parametric nonlinear model order reduction 

      Aguado, José V.; Chinesta, Francisco; Leygue, Adrien; Cueto Prendes, Elias; Huerta, Antonio (Centre Internacional de Mètodes Numèrics en Enginyeria (CIMNE), 2013)
      Conference report
      Open Access
      This book contains the Abstracts of the papers presented at ADMOS 2013, the sixth International Conference on Adaptive Modeling and Simulation, held in Lisbon from June 3 to 5, 2013. Numerical Modeling and Simulation ...
    • Multiscale proper generalized decomposition based on the partition of unity 

      Ibáñez Pinillo, Rubén; Ammar, Amine; Cueto Prendes, Elias; Huerta, Antonio; Duval, Jean Louis; Chinesta, Francisco (John Wiley & sons, 2019-11-09)
      Article
      Open Access
      Solutions of partial differential equations could exhibit a multiscale behavior. Standard discretization techniques are constraints to mesh up to the finest scale to predict accurately the response of the system. The ...
    • Parametric solutions involving geometry: a step towards efficient shape optimization 

      Ammar, Amine; Huerta, Antonio; Chinesta, Francisco; Cueto Prendes, Elias; Leygue, Adrien (2014-01)
      Article
      Open Access
      Optimization of manufacturing processes or structures involves the optimal choice of many parameters (process parameters, material parameters or geometrical parameters). Usual strategies proceed by defining a trial choice ...
    • PGD-based “Computational Vademecum” for efficient design, optimization and control 

      Chinesta, Francisco; Leygue, Adrien; Bordeu, F.; Cueto Prendes, Elias; González, David; Alfaro, Icíar; Ammar, Amine; Huerta, Antonio; Díez, Pedro (2013)
      Article
      Restricted access - publisher's policy
      D espite the impressive progresses attained by simulation capabilities and techniques, some challenging problems remain today intractable. These prob- lems, that are common to many branches of science and engineering, ...
    • Proper generalized decomposition based dynamic data-driven control of material forming processes 

      Ghnatios, Ch.; Masson, F.; Huerta, Antonio; Leygue, Adrien; Cueto Prendes, Elias; Chinesta, Francisco (2012)
      Article
      Open Access
      Proper Generalized Decomposition; Dynamic Data-Driven Application Systems; Control; Real time; Parametric models; Thermal processes
    • Real-time monitoring of thermal processes by reduced order modeling 

      Aguado, José Vicente; Huerta, Antonio; Chinesta, Francisco; Cueto Prendes, Elias (2015-05-04)
      Article
      Open Access
      This work presents a simple technique for real-time monitoring of thermal processes. Real-time simulationbased control of thermal processes is a big challenge because high-fidelity numerical simulations are costly and ...
    • Real-time simulation techniques for augmented learning in science and engineering 

      Quesada, C.; González, D.; Alfaro, Icíar; Cueto Prendes, Elias; Huerta, Antonio; Chinesta, Francisco (Springer, 2016-11)
      Article
      Open Access
      In this paper we present the basics of a novel methodology for the development of simulation-based and augmented learning tools in the context of applied science and engineering. It is based on the extensive use of model ...
    • Vademecum-based GFEM (V-GFEM): optimal enrichment for transient problems 

      Canales, Diego; Leygue, Adrien; Chinesta Soria, Francisco; González Ibáñez, David; Cueto Prendes, Elias; Feulvarch, Eric; Bergheau, Jean-Michel; Huerta, Antonio (2016-11)
      Article
      Open Access
      This paper proposes a generalized finite element method based on the use of parametric solutions as enrichment functions. These parametric solutions are precomputed off-line and stored in memory in the form of a computational ...