A random algorithm for 3D modeling of solid particles considering elongation, flatness, sphericity, and convexity

IF 2.8 3区工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Computational Particle Mechanics Pub Date : 2022-04-15 DOI:10.1007/s40571-022-00475-9

Songling Han, Changming Wang, Xiaoyang Liu, Bailong Li, Ruiyuan Gao, Shuo Li

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引用次数: 4

Abstract

Generating particles with specific shape characteristics is regarded as a critical issue in the research of granular materials. Improving the particle generation method to consider more comprehensive shape descriptors becomes a central challenge in this field. We described a novel solution for parametrically generate non-convex particles to meet this challenge. First, to conveniently capture particle characteristics, this work established estimation functions of 3D shape parameters (elongation, flatness, sphericity, and convexity). Then, the present study proposed a novel stochastic algorithm for generating non-convex particles. (This algorithm successfully controls the above particle shape parameters.) Finally, this work verified the mechanical properties of the generated particles are similar to those of realistic-shaped particles, by comparing the numerical results of three-dimensional compression of granular materials. The proposed algorithm has a good performance in controlling particle shape parameters and generate particles quickly.

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考虑延伸率，平面度，球度和凸度的固体颗粒三维建模的随机算法

产生具有特定形状特征的颗粒是颗粒材料研究中的一个关键问题。改进粒子生成方法以考虑更全面的形状描述符成为该领域的核心挑战。为了应对这一挑战，我们描述了一种参数化生成非凸粒子的新解决方案。首先，为了方便地捕捉颗粒特征，本文建立了三维形状参数(伸长率、平面度、球度和凸度)的估计函数。然后，本研究提出了一种新的非凸粒子生成的随机算法。(该算法成功地控制了上述颗粒形状参数。)最后，通过对比颗粒材料三维压缩的数值结果，验证了生成颗粒的力学性能与现实形状颗粒的力学性能相似。该算法在控制粒子形状参数方面具有良好的性能，能够快速生成粒子。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computational Particle Mechanics Mathematics-Computational Mathematics

CiteScore

5.70

自引率

9.10%

发文量

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.