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COUPLING FINITE ELEMENTS AND PROPER GENERALIZED DECOMPOSITIONS

Authors: Ammar, Amine; Chinesta, Francisco; Cueto, Elías;

COUPLING FINITE ELEMENTS AND PROPER GENERALIZED DECOMPOSITIONS

Abstract

Numerous models encountered in science and engineering remain nowadays , despite the impressive recent progresses attained in computational simulation techniques, intractable when the usual and well experienced discretization techniques are applied for their numerical simulation. Thus, different challenging issues are waiting for the proposal of new alternative advanced simulation techniques. Separated representations offer the possibility to address some challenging models with CPU time savings of some orders of magnitude. In other cases, they allowed to address models never until now solved. The number of published works concerning this kind of approximation remains quite reduced, and then, numerous difficulties that were successfully circumvented in the context of more experienced discretization techniques, as is the case of the finite element method, must be considered again within the separated representation framework. One of these issues in the one that concerns the treatment of localized behavior of model solutions. This work focuses on this topic and propose an efficient finite element (or extended finite element) enrichment of usual separated representation.

Country
France
Keywords

[SPI]Engineering Sciences [physics], 000, Separated representations, Finite sums decomposition, Enriched Finite Elements, Finite Elements, Proper Generalized Decomposition, 620

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Average
Top 10%
Top 10%
Green
hybrid