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September 10, 2025Agriculture3 citationsOpen Access

Calibration of DEM Parameters and Microscopic Deformation Characteristics During Compression Process of Lateritic Soil with Different Moisture Contents

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CJChao JiWLWanru LiuYDYiguo Deng

Key Points

  • The calibrated discrete element models showed high fidelity in predicting maximum axial compressive forces under varying moisture contents.
  • Average relative errors of 4.53% to 7.60% were observed across simulations of uniaxial compression for five moisture levels.
  • The use of Plackett–Burman design enabled the identification of critical factors that significantly influence compressive force in lateritic soil.
  • Findings established a correlation between moisture content and the micromechanical behavior of lateritic soil, emphasizing the need for DEM considerations in agricultural equipment design.

Abstract

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.

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Cite This Study

Ji et al. (2025) studied this question.

synapsesocial.com/papers/68c1bd3b54b1d3bfb60ee814https://doi.org/10.3390/agriculture15141548
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