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Calibration of discrete element modeling: Scaling laws and dimensionless analysis

作     者:Yucang Wang Peter Mora Yunpei Liang Yucang Wang;Peter Mora;Yunpei Liang

作者机构:State Key Laboratory of Coal Mine Disaster Dynamics and ControlChongqing UniversityChongqing 400044China College of Petroleum Engineering and GeosciencesKing Fahd University of Petroleum and MineralsSaudi Arabia 

出 版 物:《Particuology》 (颗粒学报(英文版))

年 卷 期:2022年第20卷第3期

页      面:55-62页

核心收录:

学科分类:07[理学] 0817[工学-化学工程与技术] 0805[工学-材料科学与工程(可授工学、理学学位)] 0703[理学-化学] 0701[理学-数学] 0702[理学-物理学] 070101[理学-基础数学] 

主  题:Discrete element method Dimensionless analysis Dynamic similarity Parameter calibration ESyS_Particle 

摘      要:In this paper,dynamic similarity conditions are derived for discrete element simulations by non-dimensionalising the governing *** conditions must be satisfied so that the numerical model is a good representation of the physical *** a pure mechanical system,if three independent ratios of the corresponding quantities between the two models are set,then the ratios of other quantities must be chosen according to the similarity *** scalability of linear and non-linear contact laws is also *** tests of 3D uni-axial compression are carried out to verify the theoretical *** example is presented to show how to calibrate the model according to laboratory data and similarity ***,it is impossible to reduce computer time by scaling up or down certain parameters and continue to uphold the similarity *** results in this paper provide guidelines to assist discrete element modelers in setting up the model parameters in a physically meaningful way.

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