• français
    • English
    français
  • Login
Help
View Item 
  •   Home
  • Laboratoire Angevin de Mécanique, Procédés et InnovAtion (LAMPA)
  • View Item
  • Home
  • Laboratoire Angevin de Mécanique, Procédés et InnovAtion (LAMPA)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Proper generalized decomposition of time-multiscale models

Article dans une revue avec comité de lecture
Author
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

Abstract

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.

Files in this item

Name:
LAMPA_IJNME_AMMAR_20120504.pdf
Size:
663.8Kb
Format:
PDF
View/Open

Collections

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

Related items

Showing items related by title, author, creator and subject.

  • 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 ...
  • Reduction of the chemical master equation for gene regulatory networks using proper generalized decompositions 
    Article dans une revue avec comité de lecture
    ccAMMAR, Amine; ccCUETO, Elias; ccCHINESTA SORIA, Francisco (John Wiley and Sons, 2012)
    The numerical solution of the chemical master equation (CME) governing gene regulatory networks and cell signaling processes remains a challenging task owing to its complexity, exponentially growing with the number of ...
  • On the effective conductivity and the apparent viscosity of a thin rough polymer interface using PGD‐based separated representations 
    Article dans une revue avec comité de lecture
    ccGHNATIOS, Chady; DELPLACE, Frank; BARASINSKI, Anais; DUVAL, Jean-Louis; ccCUETO, Elias; ccAMMAR, Amine; ccCHINESTA SORIA, Francisco (Wiley, 2020)
    Composite manufacturing processes usually proceed from preimpregnated preforms that are consolidated by simultaneously applying heat and pressure, so as to ensure a perfect contact compulsory for making molecular diffusion ...
  • Some applications of compressed sensing in computational mechanics: model order reduction, manifold learning, data-driven applications and nonlinear dimensionality reduction 
    Article dans une revue avec comité de lecture
    ccCUETO, Elias; DUVAL, Jean-Louis; IBAÑEZ, Ruben; ccABISSET-CHAVANNE, Emmanuelle; ccAMMAR, Amine; ccCHINESTA SORIA, Francisco (Springer Verlag, 2019)
    Compressed sensing is a signal compression technique with very remarkable properties. Among them, maybe the most salient one is its ability of overcoming the Shannon–Nyquist sampling theorem. In other words, it is able to ...
  • 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 ...

Browse

All SAMCommunities & CollectionsAuthorsIssue DateCenter / InstitutionThis CollectionAuthorsIssue DateCenter / Institution

Newsletter

Latest newsletterPrevious newsletters

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales