Leveraging unstructured grids for direct numerical simulations of wall turbulence

Abstract

We formulate an unstructured grid-generation framework for direct numerical simulations (DNSs) of wall turbulence, termed η-grid, based on setting the wall-normal (y) and spanwise (z) grid sizes proportional to the local Kolmogorov scale η. The framework consists of an inner layer, with a thickness ~50 viscous units, with viscous-scaled grid sizes similar to a conventional DNS grid; 0.3 < y+ < 4, z+ ~ 5 over a smooth wall, and l+/30 < y+, z+ < 4 over a non-smooth surface, where l+ is the smallest surface wavelength. Above the inner layer, y+~ z+ ~ 2η+. We test η-grid with a finite volume method (FVM) code, as well as a spectral element method (SEM) code, and conduct a campaign of DNSs of turbulent channel flow and turbulent boundary layer over smooth wall and various riblet geometries (as streamwise-aligned microgrooves), up to friction Reynolds number δ+0= 1000. We assess the accuracy of the η-grid against the conventional Cartesian grids, as well as the reference DNS and experimental data. We obtain less than 1% difference between the η-grid and the Cartesian grids, in terms of skin-friction coefficient, mean velocity, turbulent stresses, and their spectrograms. Up to δ+0 ~ 104, the number of grid points with the η -grid (Nη) scales proportional to δ+02.5 over smooth wall, and proportional to δ+02.0 over riblets, whereas the number of grid points with a Cartesian grid and hyperbolic tangent y-gird (NTanh) scales proportional to δ+03.0. This leads to an enormous grid saving with the η-grid; by δ+0 = 6000, Nη / NTanh ~ 0.1 over smooth wall, and Nη / NTanh ~ 0.03 over typical drag-reducing triangular riblets with tip angle 60o, and viscous-scaled spacing 15.

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