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Journal of Fluid Mechanics· 2015Q1

Direct numerical simulation of turbulent channel flow up to

Myoungkyu Lee, Robert Moser

Short summary

A direct numerical simulation of turbulent channel flow at Reτ = 5186 reveals characteristics of high-Reynolds-number turbulence, including a logarithmic mean velocity profile with von Kármán constant κ=0.384±0.004 and distinct scale separation between inner and outer layers.

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Key points

  • Direct numerical simulation achieved Reτ = 5186 for turbulent channel flow.
  • Observed logarithmic mean velocity profile with von Kármán constant κ=0.384±0.004.
  • Distinct scale separation between large outer-layer and small inner-layer structures.
  • Streamwise velocity spectra exhibit k⁻¹ dependence and bimodal structure when premultiplied.

AI-generated from the title and abstract; the full text is not read.

Abstract

A direct numerical simulation of incompressible channel flow at a friction Reynolds number ( $\mathit{Re}_{{\it\tau}}$ ) of 5186 has been performed, and the flow exhibits a number of the characteristics of high-Reynolds-number wall-bounded turbulent flows. For example, a region where the mean velocity has a logarithmic variation is observed, with von Kármán constant ${\it\kappa}=0.384\pm 0.004$ . There is also a logarithmic dependence of the variance of the spanwise velocity component, though not the streamwise component. A distinct separation of scales exists between the large outer-layer structures and small inner-layer structures. At intermediate distances from the wall, the one-dimensional spectrum of the streamwise velocity fluctuation in both the streamwise and spanwise directions exhibits $k^{-1}$ dependence over a short range in wavenumber $(k)$ . Further, consistent with previous experimental observations, when these spectra are multiplied by $k$ (premultiplied spectra), they have a bimodal structure with local peaks located at wavenumbers on either side of the $k^{-1}$ range.

The authors' abstract, as published at the source. Journal of Fluid Mechanics, 2015 · DOI ↗

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Field: Computational Mechanics

Computational MechanicsEngineering