Small-scale statistics in high-resolution direct numerical simulation of turbulence: Reynolds number dependence of one-point velocity gradient statistics

Takashi Ishihara, Y. Kaneda, M. Yokokawa, K. Itakura, A. Uno

Research output: Contribution to journalArticle

141 Citations (Scopus)

Abstract

One-point statistics of velocity gradients and Eulerian and Lagrangian accelerations are studied by analysing the data from high-resolution direct numerical simulations (DNS) of turbulence in a periodic box, with up to 40963 grid points. The DNS consist of two series of runs; one is with kmaxη ∼ 1 (Series 1) and the other is with kmaxη ∼ 2 (Series 2), where kmax is the maximum wavenumber and η the Kolmogorov length scale. The maximum Taylor-microscale Reynolds number Rλ in Series 1 is about 1130, and it is about 675 in Series 2. Particular attention is paid to the possible Reynolds number (Re) dependence of the statistics. The visualization of the intense vorticity regions shows that the turbulence field at high Re consists of clusters of small intense vorticity regions, and their structure is to be distinguished from those of small eddies. The possible dependence on Re of the probability distribution functions of velocity gradients is analysed through the dependence on Rλ of the skewness and flatness factors (S and F). The DNS data suggest that the Rλ dependence of S and F of the longitudinal velocity gradients fit well with a simple power law: S ∼ -0.32 Rλ0.11 and F ∼ 1.14 Rλ0.34, in fairly good agreement with previous experimental data. They also suggest that all the fourth-order moments of velocity gradients scale with Rλ similarly to each other at Rλ > 100, in contrast to Rλ < 100. Regarding the statistics of time derivatives, the second-order time derivatives of turbulent velocities are more intermittent than the first-order ones for both the Eulerian and Lagrangian velocities, and the Lagrangian time derivatives of turbulent velocities are more intermittent than the Eulerian time derivatives, as would be expected. The flatness factor of the Lagrangian acceleration is as large as 90 at Rλ ≈ 430. The flatness factors of the Eulerian and Lagrangian accelerations increase with Rλ approximately proportional to RλαE and RλαL, respectively, where αE ≈ 0.5 and αL ≈ 1.0, while those of the second-order time derivatives of the Eulerian and Lagrangian velocities increases approximately proportional to RλβE and RλβL, respectively, where βE ≈ 1.5 and β L ≈ 3.0.

Original languageEnglish
Pages (from-to)335-366
Number of pages32
JournalJournal of Fluid Mechanics
Volume592
DOIs
Publication statusPublished - Dec 10 2007
Externally publishedYes

Fingerprint

Direct numerical simulation
direct numerical simulation
Reynolds number
Turbulence
turbulence
Statistics
statistics
gradients
high resolution
Derivatives
flatness
Vorticity
vorticity
skewness
probability distribution functions
microbalances
Probability distributions
Distribution functions
boxes
Visualization

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering

Cite this

Small-scale statistics in high-resolution direct numerical simulation of turbulence : Reynolds number dependence of one-point velocity gradient statistics. / Ishihara, Takashi; Kaneda, Y.; Yokokawa, M.; Itakura, K.; Uno, A.

In: Journal of Fluid Mechanics, Vol. 592, 10.12.2007, p. 335-366.

Research output: Contribution to journalArticle

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AU - Uno, A.

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