Large Eddy Simulation-Based Lattice Boltzmann Method with Different Collision Models

Hamdi, Mohamed; Elalimi, Souheil; Nasrallah, Sassi Ben

doi:10.1007/978-3-319-62572-0_43

Cited by 1 publication

(1 citation statement)

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“…In fact, Malaspinas et al proved the behavior of the ELBM was sharing similarities with the standard Smagorinsky subgrid scale model [6] since its dynamic viscosity also scales as the strain rate tensor, and its value tends towards zero when the resolution of the mesh grid is increased [10]. Nevertheless, solving a minimization problem at each grid node and for each time step induces a nonnegligible extra CPU cost, which is higher than for subgrid scale models, while sharing an equivalent accuracy [11].…”

Section: Introductionmentioning

confidence: 99%

Comprehensive comparison of collision models in the lattice Boltzmann framework: Theoretical investigations

2019

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Over the last decades, several types of collision models have been proposed to extend the validity domain of the lattice Boltzmann method (LBM), each of them being introduced in its own formalism. The present article proposes a formalism that describes all these methods within a common mathematical framework, and in this way allows us to draw direct links between them. Here, the focus is put on single and multirelaxation time collision models in either their raw moment, central moment, cumulant or regularized form. In parallel with that, several bases (non orthogonal, orthogonal, Hermite) are considered for the polynomial expansion of populations. General relationships between moments are first derived to understand how moment spaces are related to each other. In addition, a review of collision models further sheds light on collision models that can be rewritten in a linear matrix form. More quantitative mathematical studies are then carried out by comparing explicit expressions for the post collision populations. Thanks to this, it is possible to deduce the impact of both the polynomial basis (raw, Hermite, central, central Hermite, cumulant) and the inclusion of regularization steps on isothermal LBMs. Extensive results are provided for the D1Q3, D2Q9, and D3Q27 lattices, the latter being further extended to the D3Q19 velocity discretization. Links with the most common two and multirelaxation time collision models are also provided for the sake of completeness. The present work ends by emphasizing the importance of an accurate representation of the equilibrium state, independently of the choice of moment space. As an addition to the theoretical purpose of the present article, general instructions are provided to help the reader with the implementation of the most complicated collision models.

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Section: Introductionmentioning

confidence: 99%