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.
Stochastic modeling of subgrid-scale effects on particle motion in forced isotropic turbulence [link]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},
 type = {article},
 year = {2019},
 websites = {https://www.sciencedirect.com/science/article/pii/S100495411930357X,https://linkinghub.elsevier.com/retrieve/pii/S100495411930357X},
 month = {4},
 publisher = {Elsevier},
 id = {b6773a3d-bb0f-3392-b88a-44c5aaaa5583},
 created = {2021-04-09T15:24:15.979Z},
 file_attached = {false},
 profile_id = {75799766-8e2d-3c98-81f9-e3efa41233d0},
 group_id = {c9329632-2a50-3043-b803-cadc8dbdfc3f},
 last_modified = {2021-04-09T15:24:15.979Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 source_type = {article},
 private_publication = {false},
 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