Abstract For large-scale discrete element (DEM) simulations, particles sizes are often scaled up to reduce the computational effort. This coarse graining is incompatible with certain types of coupling to computational fluid dynamics (CFD) simulations usually used for large-scale simulations, as they require the fluid cells to be even larger than the particles, leading to unacceptably badly resolved flows. We investigate the possibility of using an Immersed Domain method with a large cell size to perform coupled DEM-CFD simulations of dense granular flows. To this end, we calculate the drag force on a single particle of an infinite simple cubic array of spherical particles suspended in a driven flow. We consider three packing fractions and compare the results for multiple resolutions to those obtained from conformal mesh CFD. While a number of flow characteristics suffer badly from coarse resolutions, the total drag force on the particle proves surprisingly accurate even for resolutions lower than 10 cells per particle diameter.

中文翻译：

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周期性粒子构型的沉浸域方法的收敛性研究

摘要 对于大规模离散元 (DEM) 模拟，通常按比例放大粒子尺寸以减少计算工作量。这种粗粒度与某些类型的耦合到通常用于大规模模拟的计算流体动力学 (CFD) 模拟不兼容，因为它们需要流体单元比粒子更大，导致无法接受的严重解析流。我们研究了使用具有大单元尺寸的沉浸域方法来执行密集颗粒流的耦合 DEM-CFD 模拟的可能性。为此，我们计算悬浮在驱动流中的无限简单立方阵列球形颗粒的单个颗粒上的阻力。我们考虑三个填充分数，并将多个分辨率的结果与从共形网格 CFD 获得的结果进行比较。