Stochastic modeling of subgrid-scale effects on particle motion in forced isotropic turbulence

Haoshu Shen; Yuxin Wu; Minmin Zhou; Hai Zhang; Guangxi Yue

doi:10.1016/j.cjche.2019.05.007

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Stochastic modeling of subgrid-scale effects on particle motion in forced isotropic turbulence

Fluid Dynamics and Transport Phenomena | Updated：2026-01-06

- Stochastic modeling of subgrid-scale effects on particle motion in forced isotropic turbulence
- Stochastic modeling of subgrid-scale effects on particle motion in forced isotropic turbulence
- 中国化学工程学报（英文版） 2019年27卷第12期页码：2884-2891
- Affiliations：
  
  1. Key Laboratory for Thermal Science and Power Engineering of Ministry Education, Department of Energy and Power Engineering, Tsinghua University,Beijing,China,100084
  2. Institute for Clean and Secure Energy, Department of Chemical Engineering, University of Utah,Salt Lake City,United States,84112
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2019.05.007
  中图分类号：
- 纸质出版：2019
- Accepted：
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Haoshu Shen, Yuxin Wu, Minmin Zhou, 等. Stochastic modeling of subgrid-scale effects on particle motion in forced isotropic turbulence[J]. 中国化学工程学报（英文版）, 2019,27(12):2884-2891.

Haoshu Shen, Yuxin Wu, Minmin Zhou, Hai Zhang, Guangxi Yue. Stochastic modeling of subgrid-scale effects on particle motion in forced isotropic turbulence[J]. Chinese Journal of Chemical Engineering, 2019, 27(12): 2884-2891.
Haoshu Shen, Yuxin Wu, Minmin Zhou, 等. Stochastic modeling of subgrid-scale effects on particle motion in forced isotropic turbulence[J]. 中国化学工程学报（英文版）, 2019,27(12):2884-2891. DOI： 10.1016/j.cjche.2019.05.007.

Haoshu Shen, Yuxin Wu, Minmin Zhou, Hai Zhang, Guangxi Yue. Stochastic modeling of subgrid-scale effects on particle motion in forced isotropic turbulence[J]. Chinese Journal of Chemical Engineering, 2019, 27(12): 2884-2891. DOI： 10.1016/j.cjche.2019.05.007.

摘要

Abstract

The subgrid-scale effects on particle motion were investigated in forced isotropic turbulence by DNS and priorLES methods. In the DNS field

the importance of Kolmogorov scaling to preferential accumulation was validated by comparing the radial distribution functions under various particle Stokes numbers. The prior-LES fields were generated by filtering the DNS data. The subgrid-scale Stokes number (

SGS

) is a useful tool for determining the effects of subgrid-scale eddies on particle motion. The subgrid-scale eddies tend to accumulate particles with

SGS

1 and disperse particles with 1

SGS

10. For particles with

SGS

≫ 1

the effects of subgrid-scale eddies on particle motion can be neglected. In order to restore the subgrid-scale effects

the Langevin-type stochastic model with optimized parameters was adopted in this study. This model is effective for the particles with

SGS

1 while has an adverse impact on the particles with

SGS

1. The results show that the Langevin-type stochastic model tends to smooth the particle distribution in the isotropic turbulence.

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