• Open Access

Semi-Lagrangian lattice Boltzmann method for compressible flows

Dominik Wilde, Andreas Krämer, Dirk Reith, and Holger Foysi
Phys. Rev. E 101, 053306 – Published 8 May 2020

Abstract

This work thoroughly investigates a semi-Lagrangian lattice Boltzmann (SLLBM) solver for compressible flows. In contrast to other LBM for compressible flows, the vertices are organized in cells, and interpolation polynomials up to fourth order are used to attain the off-vertex distribution function values. Differing from the recently introduced Particles on Demand (PoD) method [Dorschner, Bösch, and Karlin, Phys. Rev. Lett. 121, 130602 (2018)], the method operates in a static, nonmoving reference frame. Yet the SLLBM in the present formulation grants supersonic flows and exhibits a high degree of Galilean invariance. The SLLBM solver allows for an independent time step size due to the integration along characteristics and for the use of unusual velocity sets, like the D2Q25, which is constructed by the roots of the fifth-order Hermite polynomial. The properties of the present model are shown in diverse example simulations of a two-dimensional Taylor-Green vortex, a Sod shock tube, a two-dimensional Riemann problem, and a shock-vortex interaction. It is shown that the cell-based interpolation and the use of Gauss-Lobatto-Chebyshev support points allow for spatially high-order solutions and minimize the mass loss caused by the interpolation. Transformed grids in the shock-vortex interaction show the general applicability to nonuniform grids.

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  • Received 1 November 2019
  • Revised 7 March 2020
  • Accepted 9 April 2020

DOI:https://doi.org/10.1103/PhysRevE.101.053306

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

©2020 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & ThermodynamicsFluid Dynamics

Authors & Affiliations

Dominik Wilde1,2,*, Andreas Krämer3, Dirk Reith2,4, and Holger Foysi1

  • 1Department of Mechanical Engineering, University of Siegen, Paul-Bonatz-Straße 9-11, D-57076 Siegen-Weidenau, Germany
  • 2Institute of Technology, Resource and Energy-efficient Engineering (TREE), Bonn-Rhein-Sieg University of Applied Sciences, Grantham-Allee 20, D-53757 Sankt Augustin, Germany
  • 3National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
  • 4Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Schloss Birlinghoven, D-53754 Sankt Augustin, Germany

  • *wilde.aerospace@gmail.com

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Vol. 101, Iss. 5 — May 2020

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