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A parallel algorithm for flux-based bounded scalar Re-distribution
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SYSNO ASEP 0560814 Document Type C - Proceedings Paper (int. conf.) R&D Document Type The record was not marked in the RIV Title A parallel algorithm for flux-based bounded scalar Re-distribution Author(s) Isoz, Martin (UT-L) ORCID
Plachá, M. (CZ)Number of authors 2 Source Title Topical Problems of Fluid Mechanics 2022. - Praha : Ústav termomechaniky AV ČR, v. v. i., 2022 / Šimurda D. ; Bodnár T. - ISSN 2336-5781 - ISBN 978-80-87012-77-2 Pages s. 87-94 Number of pages 8 s. Publication form Print - P Action Topical problems of fluid mechanics 2022 Event date 16.02.2022 - 18.02.2022 VEvent location Praha Country CZ - Czech Republic Event type EUR Language eng - English Country CZ - Czech Republic Keywords CFD ; OpenFOAM ; scalar redistribution Subject RIV BA - General Mathematics OECD category Applied mechanics R&D Projects EF15_003/0000493 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Institutional support UT-L - RVO:61388998 DOI 10.14311/TPFM.2022.013 Annotation Let us assume a bounded scalar function ? : Q = I × ? ? ?0, 1?, I ? R, ? ? R3, where Q is an open bounded domain and its discrete counterpart ?h defined on a computational mesh Qh = Ih × ?h. The problem of redistribution of ?h over ?h ensuring the scalar boundedness while maintaining the invariance of R ?h ?h dV is surprisingly frequent within the field of computational fluid dynamics (CFD). The present contribution is motivated by the case arising from coupling Lagrangian particle tracking and particle deposition within ? h with Eulerian CFD computation. We propose an algorithm for ?h redistribution that is (i) based on fluxes over the computational cells faces, i.e. suitable for finite volume (FV) computations, (ii) localized, meaning that a cell ?h P with ?hP > 1 affects only its closest neighbors with ?h < 1, and (iii) designed for parallel computations leveraging the standard domain decomposition methods. Workplace Institute of Thermomechanics Contact Marie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823 Year of Publishing 2023 Electronic address http://www2.it.cas.cz/fm2015/im/admin/showfile/data/my/Papers/2022/13-TPFM2022.pdf
Number of the records: 1