Number of the records: 1  

Improving computational efficiency of contact solution in fully resolved CFD-DEM simulations with arbitrarily-shaped solids

  1. 1.
    0579000 - ÚT 2024 CZ eng C - Conference Paper (international conference)
    Studeník, Ondřej - Kotouč Šourek, M. - Isoz, Martin
    Improving computational efficiency of contact solution in fully resolved CFD-DEM simulations with arbitrarily-shaped solids.
    SNA'23 Seminar on Numerical Analysis. Ostrava: Institute of Geonics of the CAS, 2023 - (Starý, J.; Sysala, S.; Sysalová, D.), s. 65-69. ISBN 978-80-86407-85-2.
    [Seminar on Numerical Analysis. Ostrava (CZ), 23.01.2023-27.01.2023]
    Institutional support: RVO:61388998
    Keywords : CFD * DEM * virtual mesh
    OECD category: Applied mathematics
    https://www.ugn.cas.cz/event/2023/sna/files/sna23-sbornik.pdf

    The abundance of industrial processes containing both solid and liquid phases generate demand for fully resolved models allowing for detailed analysis and optimization of these processes. An established approach providing such models is based using a variant of an immersed boundary method to couple the computational fluid dynamics (CFD) and discrete element method (DEM). In the talk, we will present our custom and monolithic implementation of a fully-resolved CFDDEM solver and concentrate on the intricacies of solving contact between two arbitrarily-shaped solids. We shall propose an efficient contact treatment based on the concept of a virtual mesh, which provides the mesh resolution required by DEM through dividing the space around the contact point in a finite volume fashion without any changes to the CFD mesh itself. A substantial part of the talk will devoted to the parallelization of the contact solution, especially in the context of the domain decomposition method imposed by the CFD solver.
    Permanent Link: https://hdl.handle.net/11104/0350974

     
     
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.