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

doi:10.1016/j.cjche.2019.05.007

中国化学工程学报 ›› 2019, Vol. 27 ›› Issue (12): 2884-2891.DOI: 10.1016/j.cjche.2019.05.007

• Fluid Dynamics and Transport Phenomena • 上一篇下一篇

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

Haoshu Shen¹, Yuxin Wu¹, Minmin Zhou², Hai Zhang¹, Guangxi Yue¹

1 Key Laboratory for Thermal Science and Power Engineering of Ministry Education, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China;
2 Institute for Clean and Secure Energy, Department of Chemical Engineering, University of Utah, Salt Lake City 84112, United States

收稿日期:2019-03-09 修回日期:2019-05-08 出版日期:2019-12-28 发布日期:2020-03-17
通讯作者: Yuxin Wu
基金资助:
Supported by the National Natural Science Foundation of China (51761125011).

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

Haoshu Shen¹, Yuxin Wu¹, Minmin Zhou², Hai Zhang¹, Guangxi Yue¹

1 Key Laboratory for Thermal Science and Power Engineering of Ministry Education, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China;
2 Institute for Clean and Secure Energy, Department of Chemical Engineering, University of Utah, Salt Lake City 84112, United States

Received:2019-03-09 Revised:2019-05-08 Online:2019-12-28 Published:2020-03-17
Contact: Yuxin Wu
Supported by:
Supported by the National Natural Science Foundation of China (51761125011).

摘要/Abstract

摘要： 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 (St_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 St_SGS <1 and disperse particles with 1 < St_SGS < 10. For particles with St_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 St_SGS >1 while has an adverse impact on the particles with St_SGS <1. The results show that the Langevin-type stochastic model tends to smooth the particle distribution in the isotropic turbulence.

关键词: Particle dispersion, Subgrid-scale modeling, Forced isotropic turbulence, Stokes number

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 (St_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 St_SGS <1 and disperse particles with 1 < St_SGS < 10. For particles with St_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 St_SGS >1 while has an adverse impact on the particles with St_SGS <1. The results show that the Langevin-type stochastic model tends to smooth the particle distribution in the isotropic turbulence.

Key words: Particle dispersion, Subgrid-scale modeling, Forced isotropic turbulence, Stokes number

Haoshu Shen, Yuxin Wu, Minmin Zhou, Hai Zhang, Guangxi Yue. Stochastic modeling of subgrid-scale effects on particle motion in forced isotropic turbulence[J]. 中国化学工程学报, 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.

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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

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