Dec 2026· International Journal of Geomechanics· Vol 26· 0 citations· 42 references
Abstract
Critical-state soil mechanics provides a fundamental framework for describing the shearing behavior of granular materials. This study employs the discrete-element method (DEM) to investigate the critical-state behavior of granular materials under direct shear, direct simple shear, and true triaxial compression loading paths. Simulations are conducted using sphere-cluster particles whose parameters were adopted from prior validated studies of a poorly graded sand. The evolution of stress ratio (
q
/
p
′) and void ratio is analyzed across a range of initial relative densities, confining pressures, and two particle assemblages with different particle quantities. The evolution of fabric anisotropy is quantified using fabric tensors for contact normal forces and particle orientations to examine the micromechanical origins of critical-state behavior. This paper also demonstrates that bulk properties remain consistent across different particle sizes. The peak strengths and dilation angles can be matched across the selected particle quantities and test types, whereas the dilation and displacement required to reach critical state depend on the imposed boundary conditions. Direct shear simulations reveal greater sensitivity to particle quantity, with larger particles producing pronounced dilation due to rigid confinement. Direct simple shear reduces boundary effects and yields consistent stress–strain behavior across assemblages, although volumetric expansion remains affected by particle size. In contrast, true triaxial simulations show that both stress–strain and volumetric responses are independent of particle quantity, as volume change occurs in all three directions. Results show convergence to a unique critical state characterized by constant stress state and volume, and a unique critical-state line is observed in both stress and volumetric spaces. Fabric anisotropy measures approach stable critical values at large strains, independent of initial density, loading path, and particle quantity, indicating the existence of a unique critical-state fabric.
To investigate scale effects on the shear strength and mesoscale load-bearing structure of coarse-grained soil, four specimen groups with maximum particle sizes of 10, 20, 40, and 60 mm were tested in large-scale direct-shear tests under normal stresses of 100–400 kPa. Corresponding three-dimensional PFC3D discrete ele...
Rui Zhang, Jun Du, Lei Liu et al.· Engineer· 0 citations
Particle crushing changes both particle size distribution and particle shape, which significantly affects the mechanical behavior of sand. This study uses a multi-scale discrete element method to investigate the direct-shear response of sand under prescribed post-crushing scenarios. Instead of modeling dynamic particle...
A. Ari, Felix N. Okonta· Fractal and Fractional· 0 citations
Soil‐rock mixture (SRM) is a widely distributed geomaterial that occurs not only as engineered backfill but also as the primary constituent of many natural slopes, making its shear behavior critical for geotechnical design and geological hazard assessment. However, its pronounced heterogeneity and complex particle in...
Long Zhao, Wei-Chao Guo, Ge-Yang Shen et al.· International journal for nu...· 0 citations
This study investigates the coupled control of fines content (
f
c
) and fine particle morphology (
P
) on the macro‐micro shear behavior of binary granular mixtures using coupled DEM‐FDM simulations. A series of drained triaxial compression tests were performed on mixtures with varying
f
c
and different
P...
Tao Zhang, Ahmad Eraj Nikzad, Zhao-Hua Sun et al.· International journal for nu...· 0 citations
The shear response of granular materials is closely related to the initiation and acceleration of geological hazards such as landslides, and it can be described in terms of transitions between jammed-like relaxation and more mobile, inertial rearrangement. To quantify this dynamic process from a frequency-domain perspe...
Nan Lu, Su-Ran Wang, Yu Huang et al.· Geohazards & Remediation· 0 citations
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