论文标题

在尘土飞扬的kolmogorov流中拖动增强

Drag enhancement in a dusty Kolmogorov flow

论文作者

Sozza, A., Cencini, M., Musacchio, S., Boffetta, G.

论文摘要

悬浮在流体中的颗粒会施加反馈力,从而显着影响流动,从而改变湍流和速度波动。我们研究了比载体流体更重的颗粒在Eulerian双向耦合模型的框架中诱导的流动调节,其中颗粒由可压缩速度场传输的连续密度表示,并与流体相交换动量。我们在湍流Kolmogorov流的直接数值模拟中实现了该模型,这是一个简化的设置,允许研究动量平衡和在没有边界的情况下湍流。我们表明,通过增加颗粒质量载荷,随之而来的增强摩擦系数,平均流量和湍流强度的幅度降低。令人惊讶的是,对于较小的惯性颗粒,湍流抑制更强。我们通过将尘土流量的方程映射到消失的惯量的极限上,将其映射到牛顿流的极限,而有效的强迫降低了由于存在颗粒的存在而导致流体密度的增加,从而理解了这一结果。我们还讨论了涡轮上产生的负反馈,从而减轻颗粒的影响,尤其是在较大的惯性上对湍流的影响。

Particles suspended in a fluid exert feedback forces that can significantly impact the flow, altering the turbulent drag and velocity fluctuations. We study flow modulation induced by particles heavier than the carrier fluid in the framework of an Eulerian two-way coupled model, where particles are represented by a continuum density transported by a compressible velocity field, exchanging momentum with the fluid phase. We implement the model in direct numerical simulations of the turbulent Kolmogorov flow, a simplified setting allowing for studying the momentum balance and the turbulent drag in the absence of boundaries. We show that the amplitude of the mean flow and the turbulence intensity are reduced by increasing particle mass loading with the consequent enhancement of the friction coefficient. Surprisingly, turbulence suppression is stronger for particles of smaller inertia. We understand such a result by mapping the equations for dusty flow, in the limit of vanishing inertia, to a Newtonian flow with an effective forcing reduced by the increase in fluid density due to the presence of particles. We also discuss the negative feedback produced by turbophoresis which mitigates the effects of particles, especially with larger inertia, on the turbulent flow.

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