三维切片网格法在分布式存储计算机上并行化DEM仿真

Kento Yokoo, M. Kishida, Tsuyoshi Yamamoto
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引用次数: 1

摘要

摘要流化床可以有效地过滤粉尘颗粒,但其性能主要取决于流态化状态。为了进一步发展流化床过滤技术,深入了解其过滤机理是十分重要的。离散元法的数值模拟是解决这些问题的有效方法,因为模拟了各个床层和粉尘颗粒的运动。该系统颗粒较多,由于粉尘颗粒的流化和供给,会产生颗粒分布的偏置。在分布式存储计算机上进行并行计算是模拟许多粒子的必要条件。此外,动态负载平衡是解决这些问题的关键技术。在本研究中,我们开发了一种简单实现的三维切片网格方法,并定期使用该方法来平衡工作量,同时保留碰撞粒子对及其重叠等接触信息。通过一个涉及流化床中填充颗粒系统和粉尘过滤的理想问题来评估我们方法的计算效率。观察了颗粒数和颗粒分布的变化。在填充粒子系统中,当粒子数为1亿个,消息传递接口进程数为1024时,速度呈线性增长。通过对粉尘过滤问题的求解,验证了动态区域分解方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parallelization of DEM simulation on distributed-memory computer via three-dimensional slice grid method
overlap, developed Abstract A fluidized bed can efficiently filter dust particles, but its performance depends significantly on the fluidization state. To further develop the fluidized-bed filtration method, it is important to understand the filtration mechanisms in detail. Numerical simulation via the discrete element method is useful for solving these problems because the motion of each bed and dust particle is demonstrated. This system has large number of particles, and bias of the particle distribution is generated owing to the fluidization and supply of dust particles. Parallel computing on a distributed-memory computer is necessary to simulate many particles. Additionally, dynamic load balancing is a key technique for solving these problems. In this study, we developed a simple implementation of three-dimensional slice grid method and periodically used this method to balance the workload while keeping contact information such as the pair of colliding particles and its overlap. The computational efficiency of our method was assessed through an ideal problem involving a packed particle system and dust filtration in a fluidized bed. The changes in the particle number and particle distribution were examined. In the packed particle system, linear speed-up was obtained at particle number of 100 million and a message passing interface-process number of 1024. Moreover, the effectiveness of the dynamic domain decomposition method was confirmed by solving through the dust filtration problem.
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