2019
DOI: 10.1134/s0021364019140017
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Statistical Properties of the Velocity Field for the 3D Hydrodynamic Turbulence Onset

Abstract: We study the statistical correlation functions for the three-dimensional hydrodynamic turbulence onset when the dynamics is dominated by the pancake-like high-vorticity structures. With extensive numerical simulations, we systematically examine the two-points structure functions (moments) of velocity. We observe formation of the power-law scaling for both the longitudinal and the transversal moments in the same interval of scales as for the energy spectrum. The scaling exponents for the velocity structure func… Show more

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Cited by 3 publications
(10 citation statements)
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“…The inset shows the spectrum in semi-logarithmic scales. [39] transverse moments of order n are calculated as the corresponding integral sums over all points on the sphere r and all nodes x,…”
Section: Statistics Of the 3d Turbulence Onsetmentioning
confidence: 99%
“…The inset shows the spectrum in semi-logarithmic scales. [39] transverse moments of order n are calculated as the corresponding integral sums over all points on the sphere r and all nodes x,…”
Section: Statistics Of the 3d Turbulence Onsetmentioning
confidence: 99%
“…which would seem to indicate a double exponential amplification of the perturbation. However, in numerical experiments [10][11][12][13]15] we have not observed this type of instability.…”
mentioning
confidence: 58%
“…Second, in the numerical experiments [10][11][12][13]15] we have not seen any characteristic signs of the KH instability. In the simulations, we have used the pseudospectral Runge-Kutta fourth-order method, in which all the spatial derivatives are calculated via the fast Fourier transform, and the adaptive grid, which resolves optimally the perpendicular direction of the main vorticity pancake and is adjusted automatically based on the analysis of the Fourier spectrum of the solution [10].…”
mentioning
confidence: 70%
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