Efficient explicit time integration algorithms for non-spherical granular dynamics on group S(3)

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Computational Particle Mechanics Pub Date : 2024-06-23 DOI:10.1007/s40571-024-00780-5
Zonglin Li, Ju Chen, Qiang Tian, Haiyan Hu
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Abstract

Discrete element method (DEM) is a powerful tool for the dynamic simulation of irregular non-spherical particle systems. The efficient integration of the rotational motions of numerous particles in DEM poses a big challenge. This paper presents six explicit time integration algorithms, comprising three first-order algorithms and three second-order algorithms, for the rotational motions of non-spherical particles based on the theory of unit quaternion group S(3). The proposed algorithms based on Cayley map do not contain any transcendental function and have high efficiency. The numerical examples underscore the superiority of the first-order symplectic Euler Cayley algorithm (SECay) and the second-order central difference Cayley algorithm (CDCay) in terms of both efficiency and accuracy. In the testing cases of granular systems, SECay and CDCay demonstrate approximately 80% reduction in computational time for the time integration part, compared to the improved predictor–corrector direct multiplication method (IPCDM). Therefore, SECay and CDCay emerge as promising tools for non-spherical DEM simulations.

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S(3) 组上非球形颗粒动力学的高效显式时间积分算法
离散元法(DEM)是对不规则非球形粒子系统进行动态模拟的有力工具。如何在 DEM 中有效地积分众多粒子的旋转运动是一个巨大的挑战。本文基于单位四元数组 S(3) 理论,针对非球形粒子的旋转运动提出了六种显式时间积分算法,包括三种一阶算法和三种二阶算法。所提出的基于 Cayley 映射的算法不包含任何超越函数,具有很高的效率。数值实例凸显了一阶交映欧拉 Cayley 算法(SECay)和二阶中心差分 Cayley 算法(CDCay)在效率和精度方面的优越性。在颗粒系统的测试案例中,与改进的预测器-校正器直接乘法(IPCDM)相比,SECay 和 CDCay 在时间积分部分的计算时间减少了约 80%。因此,SECay 和 CDCay 成为非球形 DEM 仿真的理想工具。
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来源期刊
Computational Particle Mechanics
Computational Particle Mechanics Mathematics-Computational Mathematics
CiteScore
5.70
自引率
9.10%
发文量
75
期刊介绍: GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research. SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including: (a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc., (b) Particles representing material phases in continua at the meso-, micro-and nano-scale and (c) Particles as a discretization unit in continua and discontinua in numerical methods such as Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.
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