A

Zonal Flow Solver (ZFS): a highly efficient multi-physics simulation framework

International journal of computational fluid dynamics, vol. 34, pp. 458–485

Abstract

Multi-physics simulations are at the heart of today's engineering applications. The trend is towards more realistic and detailed simulations, which demand highly resolved spatial and temporal scales of various physical mechanisms to solve engineering problems in a reasonable amount of time. As a consequence, numerical codes need to run efficiently on high-performance computers. Therefore, the framework Zonal Flow Solver (ZFS) featuring lattice-Boltzmann, finite-volume, discontinuous Galerkin, level set and Lagrange solvers has been developed. The solvers can be combined to simulate, e.g. quasi-incompressible and compressible flow, aeroacoustics, moving boundaries and particle dynamics. In this manuscript, the multi-physics implementation of the coupling mechanisms are presented. The parallelisation approach, the involved solvers and their scalability on state-of-the-art heterogeneous high-performance computers are discussed. Various multi-physics applications complement the discussion. The results show ZFS to be a highly efficient and flexible multi-purpose tool that can be used to solve varying classes of coupled problems.

Authors 3

  1. Andreas Lintermann corresponding Aachen

    RWTH Aachen University · Forschungszentrum Jülich · Jülich Aachen Research Alliance · Jülich Supercomputing Centre

    Affiliation as printed

    Jülich Aachen Research Alliance Center for Simulation and Data Science (JARA-CSD), RWTH Aachen University and Forschungszentrum Jülich, Aachen and Jülich, Germany

    Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, Jülich, Germany

  2. RWTH Aachen University · Forschungszentrum Jülich · Jülich Aachen Research Alliance

    Affiliation as printed

    Institute of Aerodynamics and Chair of Fluids Mechanics, RWTH Aachen University, Aachen, Germany

    Jülich Aachen Research Alliance Center for Simulation and Data Science (JARA-CSD), RWTH Aachen University and Forschungszentrum Jülich, Aachen and Jülich, Germany

  3. RWTH Aachen University · Forschungszentrum Jülich · Jülich Aachen Research Alliance

    Affiliation as printed

    Institute of Aerodynamics and Chair of Fluids Mechanics, RWTH Aachen University, Aachen, Germany

    Jülich Aachen Research Alliance Center for Simulation and Data Science (JARA-CSD), RWTH Aachen University and Forschungszentrum Jülich, Aachen and Jülich, Germany

Cited by 38 stored of 38

No patents citing this paper on Lens.org (checked 2026-10-06).

References 89