A stochastic vortex structure method for interacting particles in turbulent shear flows

In a recent study, we have proposed a new synthetic turbulence method based on stochastic vortex structures (SVSs), and we have demonstrated that this method can accurately predict particle transport, collision, and agglomeration in homogeneous, isotropic turbulence in comparison to direct numerical...

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Bibliographic Details
Published in:Physics of fluids (1994) 2018-01, Vol.30 (1)
Main Authors: Dizaji, Farzad F., Marshall, Jeffrey S., Grant, John R.
Format: Article
Language:English
Subjects:
Clustering
Computational fluid dynamics
Computer simulation
Direct numerical simulation
Fluid dynamics
Fluid flow
Isotropic turbulence
Mathematical models
Physics
Reynolds stress
Simulation
Transport
Turbulent flow
Vortices
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Summary:In a recent study, we have proposed a new synthetic turbulence method based on stochastic vortex structures (SVSs), and we have demonstrated that this method can accurately predict particle transport, collision, and agglomeration in homogeneous, isotropic turbulence in comparison to direct numerical simulation results. The current paper extends the SVS method to non-homogeneous, anisotropic turbulence. The key element of this extension is a new inversion procedure, by which the vortex initial orientation can be set so as to generate a prescribed Reynolds stress field. After validating this inversion procedure for simple problems, we apply the SVS method to the problem of interacting particle transport by a turbulent planar jet. Measures of the turbulent flow and of particle dispersion, clustering, and collision obtained by the new SVS simulations are shown to compare well with direct numerical simulation results. The influence of different numerical parameters, such as number of vortices and vortex lifetime, on the accuracy of the SVS predictions is also examined.
ISSN:1070-6631
1089-7666
DOI:10.1063/1.5007743