首页|A method to determine the bonded-particle model parameters for simulation of ores

A method to determine the bonded-particle model parameters for simulation of ores

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The bonded-particle model(BPM)is commonly used in the numerical analysis of ore samples.To improve the accuracy of simulating the mechanical process of ore process of ore crushing in a crusher,the parameters of the BPM for the ore must be calibrated.In this study,a calibration method was pro-posed for the scientific determination of the parameters of the BPM for ore undergoing uniaxial compression.First,physical tests and simulations were conducted to determine the mechanical response(uniaxial compressive strength and macroscopic stiffness)of ore during uniaxial compression.Then,the sensitivity of the mechanical response to the values of microscopic parameters was tested using a Plackett-Burman design.Next,the microscopic parameters with the greatest impact on the response were identified,and the range of parameters that met the target response was determined using a steepest ascent design;Second,a second-order model of the mechanical response was established using the sensitive parameters by combining a Box-Behnken design with response surface methodology to obtain the optimal BPM parameters.Simulation tests showed that the normal stiffness per unit area,critical shear stress,and bonded disk radius had significant effects on the uniaxial compressive strength(UCS)and macroscopic stiffness(MS).To verify the validity of the proposed calibration method,labo-ratory tests were conducted.The consistency of the simulation results with experimental results indi-cated that response surface methodology with the Plackett-Burman design,steepest ascent design,and Box-Behnken design can be an effective method for calibrating the BPM of ores.

Bonded-particle modelDiscrete element methodCalibration methodDesign of experimentUniaxial compression test

Shuwei Wu、Guoqiang Wang、Longfei Fan、Wei Guan、Jianbo Guo、Zhengbin Liu、Yukuan Wang

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School of Mechanical and Aerospace Engineering,Jilin University,Changchun,130025,China

2024

颗粒学报(英文版)
中国颗粒学会 中国科学院过程工程研究所

颗粒学报(英文版)

CSTPCD
影响因子:0.632
ISSN:1674-2001
年,卷(期):2024.86(3)
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