光滑多面体的新型离散元素法及其在凹形粒子流建模中的应用

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Siqiang Wang, Qingwei Xu, Dongfang Liang, Shunying Ji
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引用次数: 0

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Discrete Element Method for Smooth Polyhedrons and Its Application to Modeling Flows of Concave-Shaped Particles

The smooth polyhedral model has been commonly used to construct non-spherical particles with smooth surfaces, whereas it is mainly constrained to numerical simulations involving concave-shaped particles. This constraint arises from the limitations imposed by the contact algorithm. In this study, the contact detection between smooth polyhedrons is simplified to that between dilated triangular elements, and a discrete element method for concave polyhedral particles with smooth surfaces is developed. Subsequently, an automatic mesh simplification algorithm is established to enhance the computational efficiency without compromising accuracy. In validating the smooth polyhedral model, the simulation results of a hexahedron colliding with a plane are found to agree favorably with the experimental results. Then, the elastic collisions between the convex and concave particles are analyzed, and the total kinetic energy before and after the particle collision remains unchanged. Furthermore, the influences of particle morphology on the packing fraction, flow fluctuation, flow rate, mixing rate, velocity distribution, and system energy in hoppers and rotating drums are analyzed, revealing the underlying flow characteristics of concave polyhedral granular materials with smooth surfaces.

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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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