Parallelization of pseudo-particle modeling and its application in simulating gas

Lu, J., Zhang, J., Wang, X., Wang, L., & Ge, W. (2009). Parallelization of pseudo-particle modeling and its application in simulating gas–solid fluidization. Particuology, 7(4), 317–323. https://doi.org/10.1016/j.partic.2009.04.003

Parallelization of pseudo-particle modeling and its application in simulating gas–solid fluidization

Jianxin Lu ^{a b}, Jiayuan Zhang ^b *, Xiaowei Wang ^b, Limin Wang ^{a b}, Wei Ge ^b *

a Graduate School of Chinese Academy of Sciences, Beijing 100049, China
b State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China

10.1016/j.partic.2009.04.003

Volume 7, Issue 4, August 2009, Pages 317-323

Received 14 January 2009, Accepted 22 April 2009, Available online 2 July 2009.

E-mail: jyzhang@home.ipe.ac.cn; wge@home.ipe.ac.cn

Highlights

Abstract

Pseudo-Particle Modeling (PPM) is a particle method proposed by Ge and Li in 1996 [Ge, W., & Li, J. (1996). Pseudo-particle approach to hydrodynamics of particle–fluid systems. In M. Kwauk & J. Li (Eds.), Proceedings of the 5th international conference on circulating fluidized bed (pp. 260–265). Beijing: Science Press] and has been used to explore the microscopic mechanism in complex particle–fluid systems. But as a particle method, high computational cost remains a main obstacle for its large-scale application; therefore, parallel implementation of this method is highly desirable. Parallelization of two-dimensional PPM was carried out by spatial decomposition in this paper. The time costs of the major functions in the program were analyzed and the program was then optimized for higher efficiency by dynamic load balancing and resetting of particle arrays. Finally, simulation on a gas–solid fluidized bed with 102,400 solid particles and 1.8 × 10⁷ pseudo-particles was performed successfully with this code, indicating its scalability in future applications.

Graphical abstract

Keywords

Parallelization; Pseudo-particle modeling; Gas–solid fluidization; Dynamic load balancing

文章导读