MENU

You are here

Advances in geometrical parametrization and reduced order models and methods for computational fluid dynamics problems in applied sciences and engineering: overview and perspectives

TitleAdvances in geometrical parametrization and reduced order models and methods for computational fluid dynamics problems in applied sciences and engineering: overview and perspectives
Publication TypeConference Paper
Year of Publication2016
AuthorsSalmoiraghi, F, Ballarin, F, Corsi, G, Mola, A, Tezzele, M, Rozza, G
Conference NameProceedings of the ECCOMAS Congress 2016, VII European Conference on Computational Methods in Applied Sciences and Engineering,
Date Published06/2016
PublisherECCOMAS
Conference LocationCrete, Greece
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.

Sign in