Abstract
The paper outlines the predictive capabilities of lattice Boltzmann methods (LBM) in turbulent shear flows. Attention is devoted to a specific collision operator which relaxes the distribution functions in cumulant space. The study highlights the benefits of a carefully defined discrete collision operator by scrutinizing the numerical stability and the predictive accuracy for a wide scope of resolutions—ranging from DNS to RANS—when no ad hoc turbulence closure is employed. Examples included are concerned with two frequently computed fundamental flows, i.e. Taylor-Green vortex and channel flows. Results reveal a fair accuracy and a remarkably small resolution dependence for the investigated cumulant collision operator, which is quite the contrary for other collision models.
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Gehrke, M., Banari, A., Rung, T. (2020). Performance of Under-Resolved, Model-Free LBM Simulations in Turbulent Shear Flows. In: Hoarau, Y., Peng, SH., Schwamborn, D., Revell, A., Mockett, C. (eds) Progress in Hybrid RANS-LES Modelling . Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol 143. Springer, Cham. https://doi.org/10.1007/978-3-030-27607-2_1
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