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A stochastic model for large eddy simulation of a particle-laden turbulent flow

机译:粒子载荷湍流大型涡流模拟的随机模型

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This paper focuses on the prediction of particle distributions in a flow field computed by large eddy simulation (LES). In an LES, small eddies are not resolved. This gives rise to the question in which cases these eddies need to be reconstructed (modeled) for tracing particles. Therefore the influence of eddies on the particles in dependence on eddy and particle time-scales is discussed. For the case where modeling is necessary, a stochastic model is presented. The model proposed is a model in physical space and not in velocity space, i.e. not the velocities of the unresolved eddies but the effects of these eddies on particle positions are reconstructed. The model is evaluated by an a priori analysis of particle dispersion in turbulent channel flow.
机译:本文侧重于大涡模拟(LES)计算的流场中粒子分布的预测。在LES中,没有解决小漩涡。这引起了这个问题,在这种情况下,需要重建这些漩涡(建模)追踪粒子。因此,讨论了依赖涡流和颗粒时间尺度对颗粒对颗粒对颗粒的影响。对于需要建模的情况,提出了一种随机模型。所提出的模型是物理空间的模型,而不是在速度空间中,即不是未解决的漩涡的速度,但是重建了这些漩涡对粒子位置的效果。通过湍流通道流动中的粒子分散的先验分析来评估该模型。

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