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 lectureGHNATIOS, Chady;
ABISSET-CHAVANNE, Emmanuelle;
AMMAR, Amine;
CUETO, Elias;
DUVAL, Jean-Louis;
CHINESTA 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 ... -
Article dans une revue avec comité de lectureThe 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 ...
-
Article dans une revue avec comité de lecture
GHNATIOS, Chady; DELPLACE, Frank; BARASINSKI, Anais; DUVAL, Jean-Louis;
CUETO, Elias;
AMMAR, Amine;
CHINESTA 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 ... -
Article dans une revue avec comité de lectureModels 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 ...
-
Article dans une revue avec comité de lecture
CUETO, 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 ...