Model order reduction for particle-laden flows: systems with rotations and discrete transport operators

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F23%3A00573854" target="_blank" >RIV/61388998:_____/23:00573854 - isvavai.cz</a>

Result on the web

<a href="http://www2.it.cas.cz/fm2015/im/admin/showfile/data/my/Papers/2023/14-TPFM2023.pdf" target="_blank" >http://www2.it.cas.cz/fm2015/im/admin/showfile/data/my/Papers/2023/14-TPFM2023.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.14311/TPFM.2023.014" target="_blank" >10.14311/TPFM.2023.014</a>

Result language

angličtina

Original language name

Model order reduction for particle-laden flows: systems with rotations and discrete transport operators

Original language description

In the present work, we concentrate on particle-laden flows as an example of industry-relevant transport-dominated systems. Our previously-developed framework for data-driven model order reduction (MOR) of such systems, the shifted proper orthogonal decomposition with interpolation via artificial neural networks, is further extended by improving the handling of general transport operators. First, even with intrusive MOR approaches, the underlying numerical solvers can provide only discrete realizations of transports linked to the movement of individual particles in the system. On the other hand, our MOR methodology requires continuous transport operators. Thus, the original framework was extended by the possibility to reconstruct continuous approximations of known discrete transports via another artificial neural network. Second, the treatment of rotation-comprising transports was significantly improved.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20302 - Applied mechanics

Project

<a href="/en/project/TM04000048" target="_blank" >TM04000048: Laser Improved Novel Surface Engineering and Repair of Tools</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

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

Article name in the collection

Topical Problems of Fluid Mechanics 2023

ISBN

978-80-87012-83-3

ISSN

2336-5781

e-ISSN

—

Number of pages

8

Pages from-to

96-103

Publisher name

Ústav termomechaniky AV ČR, v. v. i.

Place of publication

Praha

Event location

Prague

Event date

Feb 22, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001235670200014