Academic Journal

Imaginary Coating Algorithm Approaching Dense Accumulation of Granular Material in Simulations with Discrete Element Method

التفاصيل البيبلوغرافية
العنوان: Imaginary Coating Algorithm Approaching Dense Accumulation of Granular Material in Simulations with Discrete Element Method
المؤلفون: Fei Wang, Yrjö Jun Huang, Chen Xuan
المصدر: Powders, Vol 2, Iss 1, Pp 205-215 (2023)
بيانات النشر: MDPI AG, 2023.
سنة النشر: 2023
المجموعة: LCC:Chemistry
مصطلحات موضوعية: Imaginary Coating Algorithm, Discrete Element Method, granular materials, simulated annealing method, Chemistry, QD1-999
الوصف: The difficulty of obtaining a densely packed granular material as an initial condition is a very common problem in numerical simulations of granular materials. In this article, an Imaginary Coating Algorithm (ICA) is introduced. To avoid unreasonable particle deformation when using a longer time step and a lower Young’s modulus, the radii used in calculating the action forces in a binary collision are slightly larger than the real values. In other words, an imaginary coat is added to each particle or element. To validate this algorithm, simulations were carried out by using ÅDEM, and a A Discrete Element Method (DEM) software program was developed. Compared with traditional Simulated Annealing Algorithms (SAA), this technique can approach the densely packed state with less CPU/GPU time and is easy to operate.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2674-0516
Relation: https://www.mdpi.com/2674-0516/2/1/14; https://doaj.org/toc/2674-0516
DOI: 10.3390/powders2010014
URL الوصول: https://doaj.org/article/4f89ed4b30b74131b6be40d07b1a1570
رقم الانضمام: edsdoj.4f89ed4b30b74131b6be40d07b1a1570
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:26740516
DOI:10.3390/powders2010014