Home
Esportazione
Statistica
Opzioni
Visualizza tutti i metadati (visione tecnica)
Advances in geometrical parametrization and reduced order models and methods for computational fluid dynamics problems in applied sciences and engineering: overview and perspectives
Salmoiraghi, Filippo
•
BALLARIN, FRANCESCO
•
Corsi, Giovanni
altro
Rozza, Gianluigi
2016
conference object
Abstract
Several problems in applied sciences and engineering require reduction techniques in order to allow computational tools to be employed in the daily practice, especially in iterative procedures such as optimization or sensitivity analysis. Reduced order methods need to face increasingly complex problems in computational mechanics, especially into a multiphysics setting. Several issues should be faced: stability of the approximation, efficient treatment of nonlinearities, uniqueness or possible bifurcations of the state solutions, proper coupling between fields, as well as offline-online computing, computational savings and certification of errors as measure of accuracy. Moreover, efficient geometrical parametrization techniques should be devised to efficiently face shape optimization problems, as well as shape reconstruction and shape assimilation problems. A related aspect deals with the management of parametrized interfaces in multiphysics problems, such as fluid-structure interaction problems, and also a domain decomposition based approach for complex parametrized networks. We present some illustrative industrial and biomedical problems as examples of recent advances on methodological developments. © The authors
DOI
10.7712/100016.1867.8680
Archivio
http://hdl.handle.net/20.500.11767/33329
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84995484514
https://www.eccomasproceedia.org/conferences/eccomas-congresses/eccomas-congress-2016/1867
Diritti
open access
Soggetti
geometrical parametri...
Settore MAT/08 - Anal...
Scopus© citazioni
15
Data di acquisizione
Jun 2, 2022
Vedi dettagli
Visualizzazioni
4
Data di acquisizione
Apr 19, 2024
Vedi dettagli
google-scholar
Vedi dettagli