Discrete element contact model and parameter calibration for clayey soil particles in the Southwest hill and mountain region

被引:16
|
作者
Yang, Le [1 ]
Li, Junwei [2 ]
Lai, Qinghui [1 ]
Zhao, Liangliang [1 ]
Li, Jianjian [1 ]
Zeng, Ronghao [1 ]
Zhang, Zhihong [1 ,3 ,4 ]
机构
[1] Kunming Univ Sci & Technol, Fac Modern Agr Engn, Kunming 650500, Peoples R China
[2] Shihezi Univ, Coll Mech & Elect Engn, Shihezi 832003, Peoples R China
[3] Shanghai Inst Technol, Sch Elect & Elect Engn, Shanghai 201416, Peoples R China
[4] 727 South Jingming Rd, Kunming 650500, Yunnan, Peoples R China
关键词
Red clay; Discrete element method; Repose angle; Computational simulation; Parameter calibration; Response surface methodology;
D O I
10.1016/j.jterra.2023.10.002
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Distinct physical properties of red clay soil in hilly and mountainous regions of southwest China, inclu-ding high adhesiveness and density, challenge the operation of agricultural machinery. A scarcity of accu-rate discrete element simulation parameters for this soil type restricts computational modeling. The study was focused on red clay soil with a moisture content of 12.50% +/- 1% and a measured repose angle of 35.54 degrees. The soil's inherent physical properties were identified through experimental assessments. Soil contact mechanical parameters were obtained from the GEMM database, and optimal contact parameter ranges were determined using Steepest Ascent Experiments, with the simulated soil particle repose angle serving as the response value. A second-order regression model was developed using a quadratic regres-sion rotation orthogonal combination test. By taking the actual repose angle as the optimization criterion, parameters were optimized. The optimal contact mechanical parameters in EDEM simulations were iden-tified as: JKR surface energy at 8.981 J/m2, recovery coefficient at 0.474, dynamic friction coefficient at 0.196, and static friction coefficient at 0.45. The model yielded a repose angle of 36.21 degrees, closely corre-sponding with the observed value, with a relative error of 1.80%. The parameters calibrated in this study offer a valuable reference for future soil-tool interaction studies and tillage implement optimization in these regions. (c) 2023 ISTVS. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:73 / 87
页数:15
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