Nonincremental proper generalized decomposition solution of parametric uncoupled models defined in evolving domains
Article dans une revue avec comité de lecture
Abstract
This work addresses the recurrent issue related to the existence of reduced bases related to the solution of parametric models defined in evolving domains. In this first part of the work, we address the case of decoupled kinematics, that is, models whose solution does not affect the domain in which they are defined. The chosen framework considers an updated Lagrangian description of the kinematics, solved by using natural neighbor Galerkin methods within a nonincremental space–time framework that can be generalized for addressing parametric models. Examples showing the performance and potentialities of the proposed methodology are included.
Files in this item
Related items
Showing items related by title, author, creator and subject.
-
Article dans une revue avec comité de lectureCUETO, Elias; DUVAL, Jean-Louis; IBAÑEZ, Ruben; ABISSET-CHAVANNE, Emmanuelle; AMMAR, Amine; CHINESTA 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 ...
-
Article dans une revue avec comité de lectureSCHEUER, Adrien; CUETO, Elias; KEUNINGS, Roland; ADVANI, Suresh G.; ABISSET-CHAVANNE, Emmanuelle; AMMAR, Amine; CHINESTA 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 ...
-
Article dans une revue avec comité de lectureIn this work, we begin by considering the qualitative modeling of biological regulatory systems using process hitting, from which we define its probabilistic counterpart by considering the chemical master equation within ...
-
Article dans une revue avec comité de lecturePASQUALE, Angelo; AMMAR, Amine; FALCÓ, Antonio; PEROTTO, Simona; CUETO, Elias; DUVAL, Jean-Louis; CHINESTA SORIA, Francisco (Springer Science and Business Media LLC, 2021-11-26)Solutions of partial differential equations can exhibit multiple time scales. Standard discretization techniques are constrained to capture the finest scale to accurately predict the response of the system. In this paper, ...
-
Article dans une revue avec comité de lectureCHINESTA SORIA, Francisco; LEYGUE, Adrien; BORDEU, Felipe; AGUADO, Jose Vicente; CUETO, Elias; GONZALEZ, David; ALFARO, Icíar; AMMAR, Amine; HUERTA, Antonio (Springer Verlag, 2013)In this paper we are addressing a new paradigm in the field of simulation-based engineering sciences (SBES) to face the challenges posed by current ICT technologies. Despite the impressive progress attained by simulation ...