Statistical properties of an incompressible passive vector convected by isotropic turbulence

Jingyuan Yang, Toshiyuki Gotoh, Hideaki Miura, and Takeshi Watanabe
Phys. Rev. Fluids 4, 064601 – Published 3 June 2019

Abstract

Statistical properties of an incompressible passive vector convected by homogeneous isotropic turbulence are studied by comparing to the velocity and passive scalar, in order to explore the physics behind the differences and similarities in the statistical properties between the velocity vector and passive scalar. The passive vector obeys an equation similar to the Navier-Stokes equation, with a pseudopressure to ensure the incompressibility of the vector. The von Kármán–Howarth equation for the passive vector is derived and the average of the velocity increment times the square of the passive vector increments obeys a 4/3 law in the inertial-convective range. We carried out direct numerical simulations (DNSs) of up to 10243 grid points. The spectra of the kinetic and pseudokinetic energies and the scalar variance obey a k5/3 power law. The Kolmogorov constants are CK=1.57 for the velocity and CKw=0.99 for the passive vector, and the Obukhov-Corrsin constant of the passive scalar is COC=0.67. The spectral bump of the compensated spectrum of the passive vector is slightly larger than that of the velocity, but smaller than the passive scalar. It is found that the behavior of the passive vector fluctuations at large scales is close to that of the velocity due to the nonlocal effects of the pseudo-pressure, while the small-scale fluctuations resemble those of the passive scalar. The nonlinearity of the convective term is key to the differences between the velocity and passive fields at small scales.

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  • Received 25 January 2019

DOI:https://doi.org/10.1103/PhysRevFluids.4.064601

©2019 American Physical Society

Physics Subject Headings (PhySH)

Fluid Dynamics

Authors & Affiliations

Jingyuan Yang1, Toshiyuki Gotoh1,*, Hideaki Miura2, and Takeshi Watanabe1

  • 1Department of Physical Science and Engineering, Nagoya Institute of Technology, Gokiso, Nagoya 466-8555, Japan
  • 2National Institute for Fusion Science, Oroshi, Toki City, Gifu 509-5292, Japan

  • *gotoh.toshiyuki@nitech.ac.jp

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Vol. 4, Iss. 6 — June 2019

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