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Proper generalized decomposition of time-multiscale models

Article dans une revue avec comité de lecture
Auteur
ccAMMAR, Amine
211916 Laboratoire Angevin de Mécanique, Procédés et InnovAtion [LAMPA]
ccCHINESTA SORIA, Francisco
10921 Institut de Recherche en Génie Civil et Mécanique [GeM]
ccCUETO, Elias
161327 Aragón Institute of Engineering Research [Zaragoza] [I3A]
DOBLARÉ, Manuel
161327 Aragón Institute of Engineering Research [Zaragoza] [I3A]

URI
http://hdl.handle.net/10985/8499
DOI
10.1002/nme.3331
Date
2012
Journal
International Journal for Numerical Methods in Engineering

Résumé

Models encountered in computational mechanics could involve many time scales. When these time scales cannot be separated, one must solve the evolution model in the entire time interval by using the finest time step that the model implies. In some cases, the solution procedure becomes cumbersome because of the extremely large number of time steps needed for integrating the evolution model in the whole time interval. In this paper, we considered an alternative approach that lies in separating the time axis (one-dimensional in nature) in a multidimensional time space. Then, for circumventing the resulting curse of dimensionality, the proper generalized decomposition was applied allowing a fast solution with significant computing time savings with respect to a standard incremental integration.

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  • Laboratoire Angevin de Mécanique, Procédés et InnovAtion (LAMPA)

Documents liés

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    Article dans une revue avec comité de lecture
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    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 ...
  • Towards a high-resolution numerical strategy based on separated representations 
    Article dans une revue avec comité de lecture
    ccCUETO, Elias; GONZALEZ, David; ccAMMAR, Amine; ccCHINESTA SORIA, Francisco (Springer Link, 2008)
    Many models in Science and Engineering are defined in spaces (the so-called conformation spaces) of high dimensionality. In kinetic theory, for instance, the micro scale of a fluid evolves in a space whose number of ...
  • Data-driven upscaling of orientation kinematics in suspensions of rigid fibres 
    Article dans une revue avec comité de lecture
    SCHEUER, Adrien; ccCUETO, Elias; KEUNINGS, Roland; ADVANI, Suresh G.; ccABISSET-CHAVANNE, Emmanuelle; ccAMMAR, Amine; ccCHINESTA SORIA, Francisco (Tech Science Press, 2018)
    Describing the orientation state of the particles is often critical in fibre suspension applications. Macroscopic descriptors, the so-called second-order orientation tensor (or moment) leading the way, are often preferred ...
  • A Multidimensional Data-Driven Sparse Identification Technique: The Sparse Proper Generalized Decomposition 
    Article dans une revue avec comité de lecture
    IBAÑEZ, Ruben; ccABISSET-CHAVANNE, Emmanuelle; ccAMMAR, Amine; GONZALEZ, David; ccCUETO, Elias; HUERTA, Antonio; DUVAL, Jean-Louis; ccCHINESTA SORIA, Francisco (Wiley, 2018)
    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 separated spatial representations for hardly separable domains 
    Article dans une revue avec comité de lecture
    GHNATIOS, Chady; ccABISSET-CHAVANNE, Emmanuelle; ccAMMAR, Amine; ccCUETO, Elias; ccDUVAL, Jean-Louis; ccCHINESTA SORIA, Francisco (Elsevier, 2019)
    This work aims at proposing a new procedure for parametric problems whose separated representation has been considered difficult, or whose SVD compression impacted the results in terms of performance and accuracy. The ...

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