Lattice Boltzmann method and RANS approach for simulation of turbulent flows and particle transport and deposition_中国颗粒学会

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Partic. vol. 30 pp. 62-72 (February 2017)
doi: 10.1016/j.partic.2016.02.004

Lattice Boltzmann method and RANS approach for simulation of turbulent flows and particle transport and deposition

H. Sajjadia, b, *, M. Salmanzadeha, G. Ahmadib, *, S. Jafaric

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hsajjadi@clarkson.eduahmadi@clarkson.edu

Highlights

    • An extended LBM approach for solving RANS equations coupled with kɛ turbulence model was developed. • The simulation results were compared with available experimental data and numerical simulation. • LBM–RANS yields a reasonably accurate description of turbulent flows at modest computational cost.

Abstract

Using the lattice-Boltzmann computational approach in conjunction with the Reynolds averaged Navier–Stokes (RANS) model, several turbulent flows and the transport and deposition of particles in different passages were studied. The new lattice Boltzmann method (LBM) solved the RANS equations coupled with the standard and renormalization group kɛ turbulence models. In particular, the LBM formulation was augmented by the addition of two transport equations for the probability distribution function of populations of k and ɛ. The discrete random walk model was used to generate the instantaneous turbulence fluctuations. For turbulent channel flows, the analytical fits to the root mean-square velocity fluctuations obtained by the direct numerical simulation of the turbulent flow were used in the analysis. Attention was given to the proper evaluation of the wall normal turbulent velocity fluctuations particularly near the wall. The simulation results were compared with the available numerical simulation and experimental data. The new LBM–RANS model is shown to provide a reasonably accurate description of turbulent flows and particle transport and deposition at modest computational cost.

Graphical abstract

Keywords

Lattice Boltzmann method; Reynolds averaged Navier–Stokes; Renormalization group model; kɛ model; Particle transport and deposition