2020
DOI: 10.1002/fld.4914
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Large‐eddy simulation of subsonic turbulent jets using the compressible lattice Boltzmann method

Abstract: Summary The lattice Boltzmann method (LBM) is a powerful technique for the computational modeling of a wide variety of single‐s and multiphase flows involving complex geometries. Although the LBM has been demonstrated to be effective for the solution of incompressible flow problems, there are limitations when this methodology is applied to the solution of compressible flows, especially for flows at high Mach numbers. In this article, we investigate strategies to overcome some of the limitations associated with… Show more

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Cited by 3 publications
(1 citation statement)
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“…To perform a time step, off-lattice Boltzmann methods typically require a special treatment of the distribution function values such as the discretization by finite difference schemes [99][100][101] or finite volume schemes [79] and the application of a dedicated time integrator, e.g., a Runge-Kutta scheme. As an example for these Eulerian time integration schemes, Chen et al presented compressible decaying three-dimensional isotropic turbulence simulations obtained by a modified discrete unified gas kinetic scheme (DUGKS), which is essentially a finite volume LBM with second-order spatial and temporal accuracy [102].…”
Section: A Comparison To Other Lbm Solversmentioning
confidence: 99%
“…To perform a time step, off-lattice Boltzmann methods typically require a special treatment of the distribution function values such as the discretization by finite difference schemes [99][100][101] or finite volume schemes [79] and the application of a dedicated time integrator, e.g., a Runge-Kutta scheme. As an example for these Eulerian time integration schemes, Chen et al presented compressible decaying three-dimensional isotropic turbulence simulations obtained by a modified discrete unified gas kinetic scheme (DUGKS), which is essentially a finite volume LBM with second-order spatial and temporal accuracy [102].…”
Section: A Comparison To Other Lbm Solversmentioning
confidence: 99%