2022
DOI: 10.48550/arxiv.2208.06867
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Limit Consistency of Lattice Boltzmann Equations

Abstract: We establish the notion of limit consistency as a modular part in proving the consistency of lattice Boltzmann equations (LBE) with respect to a given partial differential equation (PDE) system. The incompressible Navier-Stokes equations (NSE) are used as paragon. Based upon the diffusion limit [L. Saint-Raymond (2003),

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Cited by 2 publications
(3 citation statements)
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“…As such, we use ( 6) to approximate the conservative variables in the NSE ( 1) and ( 2). Formal Chapman-Enskog expansions are given in [20] and limit consistency is proven force-free in [34]. Both establish the relation…”
Section: Methodsmentioning
confidence: 75%
“…As such, we use ( 6) to approximate the conservative variables in the NSE ( 1) and ( 2). Formal Chapman-Enskog expansions are given in [20] and limit consistency is proven force-free in [34]. Both establish the relation…”
Section: Methodsmentioning
confidence: 75%
“…with fluid velocity u, density ρ, pressure p, and kinematic viscosity ν. Equation ( 4) is approximated with LBM [32] and implemented in the parallel, open-source C++ framework, OpenLB [35,36]. To account for the turbulence, a large-eddy simulation model replaces the viscosity ν in (4) with a local effective viscosity that additionally models the non-resolved scales [19] through a Smagorinsky-Lilly approach.…”
Section: Fluid Flow Regime and Lagrangian Particlesmentioning
confidence: 99%
“…In previous works by Mink et al [16][17][18], the light transport simulation based on the lattice Boltzmann method (LBM) was extended, validated, and applied to efficiently predict light distribution in PBR. As an alternative approximation technique in CFD, an LBM simulation has a particular strength in multiphysics applications [19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34], and is a suitable framework for the development of a computational model for algae trajectories (Lagrange-Lagrange) and mass transfer (Euler-Lagrange). In addition, LBM brings forth almost perfect parallelizability, which allows highly scalable simulations on high-performance computing machinery.…”
Section: Introductionmentioning
confidence: 99%