Model order reduction technique for large scale flow computations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F18%3A00499769" target="_blank" >RIV/61388998:_____/18:00499769 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.it.cas.cz/fm2015/im/admin/showfile/data/my/Papers/2018/20-TPFM2018.pdf" target="_blank" >http://www.it.cas.cz/fm2015/im/admin/showfile/data/my/Papers/2018/20-TPFM2018.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.14311/TPFM.2018.020" target="_blank" >10.14311/TPFM.2018.020</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Model order reduction technique for large scale flow computations

Popis výsledku v původním jazyce

Current progress in numerical methods and available computational power combined with industrial needs promote the development of more and more complex models. However, such models are, due to their complexity, expensive from the point of view of the data storage and the time necessary for their evaluation. The model order reduction (MOR) seeks to reduce the computational complexity of large scale models. We present an application of MOR to the problems originating in the finite volume (FV) discretization of incompressible Navier-Stokes equations. Our approach to MOR is based on the proper orthogonal decomposition (POD)nwith Galerkin projection. Moreover, the problems arising from the nonlinearities present in the original model are adressed within the framework of the discrete empirical interpolation method (DEIM). We provide a link between the POD-DEIM based MOR and OpenFOAM, which is an open-source CFD toolbox capable of solving even industrial scale problems. The availability of a link between OpenFOAM and POD-DEIM based MOR enables a direct order reduction for large scale systems originating in the industrial practice.

Název v anglickém jazyce

Model order reduction technique for large scale flow computations

Popis výsledku anglicky

Current progress in numerical methods and available computational power combined with industrial needs promote the development of more and more complex models. However, such models are, due to their complexity, expensive from the point of view of the data storage and the time necessary for their evaluation. The model order reduction (MOR) seeks to reduce the computational complexity of large scale models. We present an application of MOR to the problems originating in the finite volume (FV) discretization of incompressible Navier-Stokes equations. Our approach to MOR is based on the proper orthogonal decomposition (POD)nwith Galerkin projection. Moreover, the problems arising from the nonlinearities present in the original model are adressed within the framework of the discrete empirical interpolation method (DEIM). We provide a link between the POD-DEIM based MOR and OpenFOAM, which is an open-source CFD toolbox capable of solving even industrial scale problems. The availability of a link between OpenFOAM and POD-DEIM based MOR enables a direct order reduction for large scale systems originating in the industrial practice.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

<a href="/cs/project/EF15_003%2F0000493" target="_blank" >EF15_003/0000493: Centrum pro výzkum nelineárního dynamického chování pokročilých materiálů ve strojírenství (CeNDYNMAT)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Topical problem of Fluid Mechanics 2018

ISBN

978-80-87012-65-9

ISSN

2336-5781

e-ISSN

—

Počet stran výsledku

8

Strana od-do

153-160

Název nakladatele

Ústav termomechaniky AV ČR, v. v. i.

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

21. 2. 2018

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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