This study investigates the Reynolds-number dependence of shock-induced flow through stationary particle clouds at 10% volume fraction, using ensemble-averaged results from three-dimensional particle-resolved large eddy simulations. The advantage of using large eddy simulations to study this problem is that they capture the strong velocity shears and flow separation caused by the no-slip condition at the particle surfaces. The shock particle cloud interaction produces a reflected shock wave, whose strength increases with decreasing particle Reynolds number. This results in important changes to the flow field that enters the particle cloud. The results show an approximate proportionality between the mean flow velocity and the flow fluctuation magnitudes. Maximum particle drag forces are in excellent agreement with previous inviscid studies, and we complement these results with statistics of time-averaged particle forces as well as the variation of temporal oscillations. The results of this work provide a basis for development of improved simplified dispersed flow models.

中文翻译：

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冲击诱导的不同雷诺数穿过粒子云的流动的粒子解析模拟

这项研究使用三维粒子分解大涡流模拟的总体平均结果，研究了冲击诱导的流经静止粒子云的体积在10％时的雷诺数依赖性。使用大型涡流模拟研究此问题的优势在于，它们捕获了由颗粒表面的无滑移条件引起的强速度剪切和流分离。冲击粒子云的相互作用会产生反射的冲击波，其强度会随着粒子雷诺数的减小而增加。这导致进入粒子云的流场发生重大变化。结果表明，平均流速与流速波动幅度之间存在近似比例关系。最大的颗粒阻力与以前的无粘性研究非常吻合，我们用时间平均粒子力的统计数据以及时间振荡的变化来补充这些结果。这项工作的结果为开发改进的简化分散流模型提供了基础。