Počet záznamů: 1
On model order reduction of parameter-dependent particle laden flows
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SYSNO ASEP 0602981 Druh ASEP A - Abstrakt Zařazení RIV Záznam nebyl označen do RIV Zařazení RIV Není vybrán druh dokumentu Název On model order reduction of parameter-dependent particle laden flows Tvůrce(i) Kovárnová, Anna (UT-L) ORCID, RID
Isoz, Martin (UT-L) ORCID, RIDCelkový počet autorů 2 Akce COMPUTATIONAL MECHANICS 2024 conference with international participation /39./ Datum konání 04.11.2024 - 06.11.2024 Místo konání Hotel Srní Země CZ - Česká republika Typ akce EUR Jazyk dok. eng - angličtina Klíč. slova model order reduction ; shifted proper orthogonal decomposition ; CFD-DEM Vědní obor RIV BD - Teorie informace Obor OECD Applied mathematics Institucionální podpora UT-L - RVO:61388998 Anotace Fully resolved CFD-DEM simulations of particle-laden flow (PLFs) are computationally intensive, which strongly limits their usability for optimizations or parametric studies. Still, the computational costs can be decreased by methods of model order reduction (MOR) that replace the original model with a low-dimensional reduced order model (ROM) in a controlled manner and increase its applicability. In our work, we employ the shifted proper orthogonal decomposition (sPOD), a method tailored for MOR of transport-dominated systems, of which PLFs are an example, and combine it with a regression using artificial neural networks to obtain ROM continuous in time and parameter. The approach is an a posteriori one, i.e., PLFs for several parameter values are simulated using our OpenHFDIB-DEM solver (see the talk of M. Isoz) and the obtained solutions are used for the preparation of the ROM, which is then able to quickly predict solutions for previously unseen parameter values. Pracoviště Ústav termomechaniky Kontakt Marie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823 Rok sběru 2025
Počet záznamů: 1