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2014•AIP conference proceedingsOpen access

Statistical simulation of decaying and forced homogeneous isotropic turbulence

Fei Fei, Jing Fan, Chunxiao Xu, Yang Song, Zhaohui Liu

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Abstract

The diffusive information preservation (D-IP) method, a molecule-based scheme, has been extended to simulate decaying and forced homogeneous isotropic turbulence, and validated by comparing with the corresponding DNS results. Furthermore, the Lagrangian statistics of relative dispersion in homogeneous isotropic turbulence calculated directly by D-IP show that molecular motion significantly affect the relative dispersion when the initial separations of molecular pairs are less than the Kolmogorov microscale.

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What this paper is about

The diffusive information preservation (D-IP) method, a molecule-based scheme, has been extended to simulate decaying and forced homogeneous isotropic turbulence, and validated by comparing with the corresponding DNS results. Furthermore, the Lagrangian statistics of relative dispersion in homogeneous isotropic turbulence calculated directly by D-IP show that molecular motion significantly affect the relative dispersion when the initial separations of molecular pairs are less than the Kolmogorov microscale.

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Available abstract

The diffusive information preservation (D-IP) method, a molecule-based scheme, has been extended to simulate decaying and forced homogeneous isotropic turbulence, and validated by comparing with the corresponding DNS results. Furthermore, the Lagrangian statistics of relative dispersion in homogeneous isotropic turbulence calculated directly by D-IP show that molecular motion significantly affect the relative dispersion when the initial separations of molecular pairs are less than the Kolmogorov microscale.

Key concepts: Isotropy, Homogeneous isotropic turbulence, Microscale chemistry, Turbulence, Homogeneous, Physics, Statistical physics, Dispersion (optics)

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