Ara es mostren els items 21-28 de 28

    • Real time parameter identification and solution reconstruction from experimental data using the Proper Generalized Decomposition 

      Nadal, Enrique; Chinesta, Francisco; Díez, Pedro; Fuenmayor, F. J.; Denia, F.D. (2015-11-01)
      Article
      Accés obert
      Some industrial processes are modelled by parametric partial differential equations. Integrating computational modelling and data assimilation into the control process requires obtaining a solution of the numerical model ...
    • Real-time monitoring of thermal processes by reduced order modeling 

      Aguado, José Vicente; Huerta, Antonio; Chinesta, Francisco; Cueto Prendes, Elias (2015-05-04)
      Article
      Accés obert
      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
      Accés obert
      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 ...
    • Simulating squeeze flows in multiaxial laminates: towards fully 3D mixed formulations 

      Ibáñez, Rubén; Abisset-Chavanne, Emmanuelle; Chinesta, Francisco; Huerta, Antonio (2017-10)
      Article
      Accés restringit per política de l'editorial
      Thermoplastic composites are widely considered in structural parts. In this paper attention is paid to squeeze flow of continuous fiber laminates. In the case of unidirectional prepregs, the ply constitutive equation is ...
    • Stress-based non intrusive shape optimization for additive manufacturing parts 

      El Rai, Khalil; Ghnatios, Chady; Chinesta, Francisco (CIMNE, 2019)
      Text en actes de congrés
      Accés obert
      We live in a time where resources are scarce and tools are developed to control their use. One of the most powerful material-saving tools is shape optimization. This latter is a computational method in which the shape ...
    • Structural health monitoring by combining machine learning and dimensionality reduction techniques 

      Quaranta, Giacomo; Lopez, Elena; Abisset-Chavanne, Emmanuelle; Louis Duval, Jean; Huerta, Antonio; Chinesta, Francisco (Universitat Politècnica de Catalunya. CIMNE, 2019)
      Article
      Accés obert
      Structural Health Monitoring is of major interest in many areas of structural mechanics. This paper presents a new approach based on the combination of dimensionality reduction and data-mining techniques able to differentiate ...
    • Unified formulation of a family of iterative solvers for power systems analysis 

      Borzacchiello, Domenico; Chinesta, Francisco; Malik, Muhammad H.; García Blanco, Raquel; Díez, Pedro (2016-11)
      Article
      Accés obert
      This paper illustrates the construction of a new class of iterative solvers for power flow calculations based on the method of Alternating Search Directions. This method is fit to the particular algebraic structure of the ...
    • Verification of reduced-order models for real-time applications with haptic feedback 

      González, D.; Díez, Pedro; Zlotnik, Sergio; Cueto, E.; Chinesta, Francisco (CIMNE, 2015)
      Text en actes de congrés
      Accés obert
      Real-time simulation systems equipped with haptic peripherals, like those employed in virtual surgery or industry lay-out design, require feedback rates on the order of 1kHz. Such an impressive requirement for a simulation ...