4.7 Article

Error scaling of large-eddy simulation in the outer region of wall-bounded turbulence

Journal

JOURNAL OF COMPUTATIONAL PHYSICS
Volume 392, Issue -, Pages 532-555

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcp.2019.04.063

Keywords

Large-eddy simulation; Wall-bounded turbulence; Subgrid-scale modeling; Error scaling; LES; Wall model

Funding

  1. NASA under the Transformative Aeronautics Concepts Program [NNX15AU93A]

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We study the error scaling properties of large-eddy simulation (LES) in the outer region of wall-bounded turbulence at moderately high Reynolds numbers. In order to avoid the additional complexity of wall-modeling, we perform LES of turbulent channel flows in which the no-slip condition at the wall is replaced by a Neumann condition supplying the exact mean wall-stress. The statistics investigated are the mean velocity profile, turbulence intensities, and kinetic energy spectra. The errors follow (Delta/L)(alpha) Re-tau(gamma), where Delta is the characteristic grid resolution, Re-tau is the friction Reynolds number, and L is the meaningful length-scale to normalize Delta in order to collapse the errors across the wall-normal distance. We show that Delta can be expressed as the L-2-norm of the grid vector and that L is well represented by the ratio of the friction velocity and mean shear. The exponent alpha is estimated from theoretical arguments for each statistical quantity of interest and shown to roughly match the values computed by numerical simulations. For the mean profile and kinetic energy spectra, alpha approximate to 1, whereas the turbulence intensities converge at a slower rate alpha < 1. The exponent gamma is approximately 0, i.e. the LES solution is independent of the Reynolds number. The expected behavior of the turbulence intensities at high Reynolds numbers is also derived and shown to agree with the classic log-layer profiles for grid resolutions lying within the inertial range. Further examination of the LES turbulence intensities and spectra reveals that both quantities resemble their filtered counterparts from direct numerical simulation (DNS) data, but that the mechanism responsible for this similarity is related to the balance between the input power and dissipation rather than to filtering. (C) 2019 Elsevier Inc. All rights reserved.

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