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Cell optimization for fast contact detection in the discrete element method algorithm

机译:离散元方法算法中用于快速接触检测的单元优化

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The objective of this paper is to find out a rule of cell optimization for fast contact detection in the discrete element method (DEM) algorithm.The contact detection process was executed by using the conventional cell model or distinct cell model (DCM) under several particle conditions having different particle size ratio and volume ratio,and its time was measured.The conventional cell model is suitable for the conditions that particle size ratio,d_(large)/d_(small),is small and its volume ratio,V_(small)/ Vo,is also small.The optimum cell condition of the conventional cell model is that the mean number of particle in a cell is 1.0-5.0,regardless of the particle size ratio and its volume ratio.Contact detection using DCM,which has several grids for different sized particles,is much faster than that of the conventional model when particles have a large size ratio.The size of the larger cell does not affect the contact detection speed;however,the size of the smaller cell is important for the fast contact detection and its size is determined to be about 3.0 times the particle radius.Therefore,the optimum cell condition is estimated from the particle size ratio and its volume ratio,and a large-scale DEM will be possible.
机译:本文的目的是找出离散元方法(DEM)算法中用于快速接触检测的细胞优化规则。使用常规细胞模型或不同细胞模型(DCM)在多个粒子下执行接触检测过程常规的细胞模型适用于粒径比d_(大)/ d_(小)小且体积比V_(小)的条件。 / Vo,也很小。常规细胞模型的最佳细胞条件是,细胞中的平均粒子数为1.0-5.0,而与粒径比及其体积比无关。使用DCM进行接触检测当粒子具有较大的尺寸比时,几个不同大小的粒子的网格比传统模型要快得多。较大的单元格的大小不会影响接触检测速度;但是,较小的单元格的大小对于快速接触检测及其大小被确定为粒径的3.0倍左右。因此,根据粒径比及其体积比可以估算出最佳的细胞条件,并且可以进行大规模DEM。

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