SCI和EI收录∣中国化工学会会刊

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. 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. 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: 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 (StSGS) is a useful tool for determining the effects of subgrid-scale eddies on particle motion. The subgrid-scale eddies tend to accumulate particles with StSGS <1 and disperse particles with 1 < StSGS < 10. For particles with StSGS ≫ 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 StSGS >1 while has an adverse impact on the particles with StSGS <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 (StSGS) is a useful tool for determining the effects of subgrid-scale eddies on particle motion. The subgrid-scale eddies tend to accumulate particles with StSGS <1 and disperse particles with 1 < StSGS < 10. For particles with StSGS ≫ 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 StSGS >1 while has an adverse impact on the particles with StSGS <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