Channel flow LES with stochastic modeling of the subgrid acceleration
Abstract
In this paper, the non-filtered velocity field in a well-developed turbulent channel flow is simulated in the framework of LES-SSAM (stochastic subgrid acceleration model) approach. A novel stochastic SGS model is proposed. This model introduces explicitly the cross-channel correlation of subgrid velocity gradients and includes two parameters: the Reynolds number based on the friction velocity, and the channel half-width. The objective was to assess the capability of this model in comparison to the standard LES and to direct numerical simulation (DNS).
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