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Stochastic modeling of subgrid-scale effects on particle motion in forced isotropic turbulence
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作者 Haoshu Shen yuxinwu +2 位作者 Minmin Zhou Hai Zhang Guangxi Yue 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2019年第12期2884-2891,共8页
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 validate... 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 StSGSb 1 and disperse particles with 1 b StSGSb 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 N 1 while has an adverse impact on the particles with StSGSb 1.The results show that the Langevin-type stochastic model tends to smooth the particle distribution in the isotropic turbulence. 展开更多
关键词 Particle DISPERSION SUBGRID-SCALE modeling FORCED ISOTROPIC TURBULENCE STOKES number
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