The discrete element method (DEM) is widely adopted for investigating cohesive soil mechanisms at the microscale due to its capacity to directly capture particle-scale kinematics. However, its extension to the simulation of macroscopic behavior remains challenging. Applying insights from the microscale by merely upscaling particle sizes leads to incomplete physical mechanisms and poor response accuracy. To overcome these limitations, this study proposes a mesoscopic Hardening Plastic Cohesive (HPC) contact model, formulated through several advancements: (1) A solid-phase conservation framework accurately quantifies compressed void volume, which resolves persistent errors in porosity calculation; (2) Compression-plasticity-related parameters drive the soil's compressive strength and rebound collectively by governing the hardening level; (3) The friction coefficient between mesoscopic elements evolves with the saturating growth in the coordination number of their underlying microparticles during densification; (4) A tension-fracture-healing mechanism for cohesive soils is incorporated into the cohesion interaction against plastic yielding. High accuracy (average RMSE=0.0035) confirms the model's performance at 13%-25% moisture content by experimental validation. The key insights through Shapley Additive Explanations (SHAP) analysis reveal a decoupled control mechanism: hardening exponent governs the overall compressive strength, while elastic ratio determines rebound magnitude. Critically, the saturation-increasing friction mechanism, controlled by the friction exponent , is essential for correcting the flattening feature in the late stage of consolidation curves. The cohesive modulus and cohesive exponent further enhance simulation accuracy, particularly in the early stage of consolidation. Ultimately, the optimized calibration workflow with clear physics-informed characterization of HPC model achieves a balance between calibration efficiency and high-fidelity results.
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