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Micro instabilities in a system of particles in silos during filling process

机译:填充过程中料仓中颗粒系统的微不稳定性

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The process of filling a silo with particles is simulated by placing them one-by-one at random locations. In simulations, a plane problem is considered and the particles are represented by disks. After each disk is placed on the system of disks already in a silo, the distribution of normal and shear stresses is recaculated. If any shear stress exceeds the predetermined limit, then a slip takes place. It is found that a slip can occur between a few particles simultaneously. Such a micro-slip reflects a physical instability in the system. It also results in a numerical instability. A Recursive Inverse Matrix Agorithm (RIMA) is implemented to account for the topological changes in the system during the loading. It allows efficient addition/removal of contact interfaces between the particles by updating the inverse matrix of the system rather then generating and solving a system of equations after each topological change. The extent of instabilities is determined numerically using RIMA update algirthm iteratively. As a result of irreversible events taking place during the filling operation, the final stress distribution in a filled silo is loading history-dependent. A numerical example of filling a silo with 500 particles is given as an illustration.
机译:通过将颗粒料仓一个一个地放置在随机位置上,可以模拟将颗粒料仓填充的过程。在模拟中,考虑了平面问题,并且粒子由圆盘表示。在将每个磁盘放置在已经处于筒仓中的磁盘系统上之后,重新计算法向应力和剪切应力的分布。如果任何剪应力超过预定极限,则发生打滑。发现在几个颗粒之间可能同时发生滑移。这种微滑移反映了系统中的物理不稳定性。这也会导致数值不稳定。实现了递归逆矩阵算法(RIMA),以解决加载过程中系统的拓扑变化。通过更新系统的逆矩阵,而不是在每次拓扑更改后生成并求解方程组,可以有效地添加/删除粒子之间的接触界面。使用RIMA更新算法以数值方式确定不稳定性的程度。由于在填充过程中发生了不可逆的事件,因此填充仓中的最终应力分布取决于加载历史。给出了一个用500个颗粒填充料仓的数值示例作为说明。

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