激波诱导流动通过静止粒子云的计算分析
Computational analysis of shock-induced flow through stationary particle clouds
摘要：
本文采用粒子分辨大涡模拟方法研究了不同入射激波马赫数、颗粒体积分数和颗粒尺寸下随机颗粒阵列的激波诱导流动。我们分析的趋势，平均流量和体积平均动量方程中的未解决的条款，因为我们改变了三个参数。我们发现，冲击波的衰减和某些平均流量的趋势可以预测的不透明度的颗粒云，这是一个功能的颗粒尺寸和颗粒体积分数。我们表明，雷诺应力场在粒子云边缘的动量平衡中起着重要的作用，因此强烈影响反射冲击波的强度。雷诺应力被认为是不敏感的颗粒尺寸，但强烈依赖于颗粒的体积分数。它是在更好的协议，通过粒子云的流动模拟结果在固定的平均滑移雷诺数在不可压缩的制度，比从其他冲击波粒子云的研究，利用无粘或二维方法的结果。我们提出了一个代数模型的流向雷诺应力的基础上观察到的分离流区的雷诺应力的主要贡献。
英文摘要：
We investigate the shock-induced flow through random particle arrays using particle-resolved Large Eddy Simulations for different incident shock wave Mach numbers, particle volume fractions and particle sizes. We analyze trends in mean flow quantities and the unresolved terms in the volume averaged momentum equation, as we vary the three parameters. We find that the shock wave attenuation and certain mean flow trends can be predicted by the opacity of the particle cloud, which is a function of particle size and particle volume fraction. We show that the Reynolds stress field plays an important role in the momentum balance at the particle cloud edges, and therefore strongly affects the reflected shock wave strength. The Reynolds stress was found to be insensitive to particle size, but strongly dependent on particle volume fraction. It is in better agreement with results from simulations of flow through particle clouds at fixed mean slip Reynolds numbers in the incompressible regime, than with results from other shock wave particle cloud studies, which have utilized either inviscid or two-dimensional approaches. We propose an algebraic model for the streamwise Reynolds stress based on the observation that the separated flow regions are the primary contributions to the Reynolds stress.
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