Le Yang, Junwei Li, Qinghui Lai, Liangliang Zhao, Jianjian Li, Ronghao Zeng, Zhihong Zhang
Journal of Terramechanics, Volume 111, 2024, Pages 73-87, ISSN 0022-4898
https://doi.org/10.1016/j.jterra.2023.10.002.(https://www.sciencedirect.com/science/article/pii/S0022489823000873)
Abstract: Distinct physical properties of red clay soil in hilly and mountainous regions of southwest China, including high adhesiveness and density, challenge the operation of agricultural machinery. A scarcity of accurate 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°. 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 regression 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 identified 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°, closely corresponding 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.
Keywords: Red clay; Discrete element method; Repose angle; Computational simulation; Parameter calibration; Response surface methodology