Exploració per autor "Chinesta, Francisco"
Ara es mostren els items 21-28 de 28
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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 obertSome 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 obertThis 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 obertIn 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'editorialThermoplastic 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 obertWe 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 obertStructural 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 obertThis 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 obertReal-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 ...