Abstract Flow analysis of pea grains in a three-dimensional, flat-bottomed bin made of Plexiglas is quantitatively investigated regarding the discharge velocities generated experimentally and those predicted using micro- and macro-mechanical approaches. The discrete-element method is applied to represent the prediction made by the micro-mechanical model operating with a dynamic, cohesionless-visco-elastic-frictional contact interaction of spherical grains. The macro-mechanical model is reliant on the purely kinematic continuum-based analytical description of a plug flow. The fixed mean values of the experimentally measured single-grain mechanical properties are introduced in the micro-mechanical model to analyse the reproducibility of the experimentally determined velocity fields as a two-dimensional macro-scale indicators. The Crocker–Grier algorithm based image processing is applied to identify the grains and derive their velocities from the frame data recorded during the bin-discharge tests. The experimental velocities were compared with those computed by the discrete-element and continuum-based kinematical models.

中文翻译：

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平底箱中基于连续介质和 DEM 的实验速度

摘要 针对实验产生的排放速度和使用微观和宏观机械方法预测的排放速度，对由有机玻璃制成的三维平底箱中豌豆粒的流动分析进行了定量研究。离散元方法用于表示由微机械模型进行的预测，该模型使用球形颗粒的动态、无内聚-粘弹性-摩擦接触相互作用进行操作。宏观力学模型依赖于活塞流的纯粹基于运动学连续介质的分析描述。在微观力学模型中引入实验测得的单晶粒力学性能的固定平均值，以分析实验确定的速度场作为二维宏观尺度指标的再现性。应用基于 Crocker-Grier 算法的图像处理来识别颗粒并从垃圾箱排放测试期间记录的帧数据中推导出它们的速度。将实验速度与由离散元和基于连续体的运动学模型计算的速度进行比较。