Shear-induced particle segregation in binary mixtures:Verification of a percolation theory

• 作者: Monica Tirapelle Silvia Volpato Andrea C.Santomaso
• 来源期刊: 颗粒学报（英文版）
• 年，卷（期）: 2021,（4）
• 所属期刊栏目: Regular Articles
• 页码范围: 214-222
• 页数: 9页
• 语种: 英文

摘要

Granular materials composed of different-sized grains may experience undesired segregation.Segrega-tion is detrimental for a lot of industries because it leads to an increase in production costs and wastes.For these reasons,the segregation phenomena have been intensively studied in the last decades,and a lot of models have been provided by many researchers.However,these models are mainly based on empirical relations rather than physical considerations.This paper aims to confirm the main assumptions made by Volpato,Tirapelle,and Santomaso(2020)in their percolation theory by means of DEM simulations.The simulated geometry is a tilting shear box filled with few tracer particles in a bed of coarser sized grains,and simulations are performed for a range of tilting frequencies and size ratios.The results pro-vide meaningful insight on the mathematical model parameters and allow us to say that the percolation theory relies on physically consistent assumptions.