文献类型： 外文期刊

作者： Ji, Chao ¹ ; Liu, Wanru ³ ; Deng, Yiguo ¹ ; Wang, Yeqin ¹ ; Chen, Peimin ¹ ; Yan, Bo ¹ ;

作者机构： 1.Chinese Acad Trop Agr Sci, Inst Agr Machinery, Zhanjiang 524000, Peoples R China

2.Minist Agr & Rural Affairs, Key Lab Trop Agr Machinery, Zhanjiang 524000, Peoples R China

3.Huazhong Agr Univ, Coll Engn, Wuhan 430070, Peoples R China

关键词： lateritic soil; moisture content; discrete element model; axial compression; parameter calibration

期刊名称：AGRICULTURE-BASEL （ 影响因子：3.6； 五年影响因子：3.8 ）

ISSN：

年卷期： 2025 年 15 卷 14 期

页码：

收录情况： SCI

摘要： Lateritic soils in tropical regions feature cohesive textures and high specific resistance, driving up energy demands for tillage and harvesting machinery. However, current equipment designs lack discrete element models that account for soil moisture variations, and the microscopic effects of water content on lateritic soil deformation remain poorly understood. This study aims to calibrate and validate discrete element method (DEM) models of lateritic soil at varying moisture contents of 20.51%, 22.39%, 24.53%, 26.28%, and 28.04% by integrating the Hertz-Mindlin contact mechanics with bonding and JKR cohesion models. Key parameters in the simulations were calibrated through systematic experimentation. Using Plackett-Burman design, critical factors significantly affecting axial compressive force-including surface energy, normal bond stiffness, and tangential bond stiffness-were identified. Subsequently, Box-Behnken response surface methodology was employed to optimize these parameters by minimizing deviations between simulated and experimental maximum axial compressive forces under each moisture condition. The calibrated models demonstrated high fidelity, with average relative errors of 4.53%, 3.36%, 3.05%, 3.32%, and 7.60% for uniaxial compression simulations across the five moisture levels. Stress-strain analysis under axial loading revealed that at a given surface displacement, both fracture dimensions and stress transfer rates decreased progressively with increasing moisture content. These findings elucidate the moisture-dependent micromechanical behavior of lateritic soil and provide critical data support for DEM-based design optimization of soil-engaging agricultural implements in tropical environments.