Stochastic modeling of subgrid-scale effects on particle motion in forced isotropic turbulence. Shen, H., Wu, Y., Zhou, M., Zhang, H., & Yue, G. Chinese Journal of Chemical Engineering, Elsevier, 4, 2019. Website doi abstract bibtex 7 downloads The subgrid-scale effects on particle motion were investigated in forced isotropic turbulence by DNS and prior-LES 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.
@article{
title = {Stochastic modeling of subgrid-scale effects on particle motion in forced isotropic turbulence},
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year = {2019},
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abstract = {The subgrid-scale effects on particle motion were investigated in forced isotropic turbulence by DNS and prior-LES 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.},
bibtype = {article},
author = {Shen, Haoshu and Wu, Yuxin and Zhou, Minmin and Zhang, Hai and Yue, Guangxi},
doi = {10.1016/j.cjche.2019.05.007},
journal = {Chinese Journal of Chemical Engineering}
}
Downloads: 7
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