POD-DEIM based model order reduction for speed-up of flow parametric studies

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F19%3A00511988" target="_blank" >RIV/61388998:_____/19:00511988 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60461373:22340/19:43918902

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0029801818321395" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0029801818321395</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.oceaneng.2019.05.065" target="_blank" >10.1016/j.oceaneng.2019.05.065</a>

Jazyk výsledku

angličtina

Název v původním jazyce

POD-DEIM based model order reduction for speed-up of flow parametric studies

Popis výsledku v původním jazyce

The model order reduction (MOR) is a useful tool for accelerating calculations connected to parametric studies or optimizations of complex systems. In this paper, we provide a MOR method directly applicable to industrial scale problems. We consider a posteriori MOR based on the proper orthogonal decomposition (POD) with Galerkin projection. The problems arising from the nonlinearities in the original model are addressed within the framework of the discrete empirical interpolation method (DEIM). The reduced order model (ROM) construction is newly implemented as a part of the open-source OpenFOAM CFD library. The new implementation is validated on a number of small scale tests and applied to a real-life problem of acceleration of a parametric study of flow in a complex geometry of an absorption column. Based on our tests, the application of reduced order model as a predictor for standard SIMPLE solution can speed-up the solution approximately two-fold. Furthermore, higher speed-ups may be achieved if the full order model may be completely replaced by ROM.

Název v anglickém jazyce

POD-DEIM based model order reduction for speed-up of flow parametric studies

Popis výsledku anglicky

The model order reduction (MOR) is a useful tool for accelerating calculations connected to parametric studies or optimizations of complex systems. In this paper, we provide a MOR method directly applicable to industrial scale problems. We consider a posteriori MOR based on the proper orthogonal decomposition (POD) with Galerkin projection. The problems arising from the nonlinearities in the original model are addressed within the framework of the discrete empirical interpolation method (DEIM). The reduced order model (ROM) construction is newly implemented as a part of the open-source OpenFOAM CFD library. The new implementation is validated on a number of small scale tests and applied to a real-life problem of acceleration of a parametric study of flow in a complex geometry of an absorption column. Based on our tests, the application of reduced order model as a predictor for standard SIMPLE solution can speed-up the solution approximately two-fold. Furthermore, higher speed-ups may be achieved if the full order model may be completely replaced by ROM.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20302 - Applied mechanics

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Ocean Engineering

ISSN

0029-8018

e-ISSN

—

Svazek periodika

186

Číslo periodika v rámci svazku

August

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

10

Strana od-do

UNSP 106083

Kód UT WoS článku

000483626500021

EID výsledku v databázi Scopus

2-s2.0-85067653488