Abstract
This study conducts tomography-based derivative discrete element method (DEM) simulations of Fujian River sand under triaxial shear. It contains the X-ray μCT experiment for the particle morphology extraction, the digital twin-based model calibration for obtaining the model parameters, the spherical harmonic-based principal component analysis for the morphological gene mutation at different length scales, and the DEM simulations of virtual triaxial tests. 26 DEM samples were generated comprising three degrees of morphological gene mutation at different length scales. In this context, the particle morphology at each length scale can be successfully isolated to highlight its specific contribution to the allocation of external loadings within a given granular assemblage. It is found that particle morphology at different length scales plays a more crucial role in the various aspects of micro–macro mechanical behaviours of granular soils. The results of this study provide a novel viewpoint to systematically connect the micro-scale properties and macro-scale responses of granular soils under triaxial shear. © 2025 Elsevier Ltd.
| Original language | English |
|---|---|
| Article number | 107151 |
| Journal | Computers and Geotechnics |
| Volume | 182 |
| Online published | 22 Feb 2025 |
| DOIs | |
| Publication status | Published - Jun 2025 |
Funding
This study was supported by the General Research Fund No. CityU 11204224 and No. CityU 11207321 from the Research Grants Council of the Hong Kong SAR, China, and Research Grant No. 52378371 from the National Science Foundation of China, as well as the BL13HB beamline of Shanghai Synchrotron Radiation Facility (SSRF), China. The first author acknowledges the financial support from Hong Kong PhD fellowship scheme (HKPFS).
Research Keywords
- X-ray micro-computed tomography
- Granular soils
- Morphological gene mutation
- Discrete element method
- Particle morphology
Publisher's Copyright Statement
- This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
RGC Funding Information
- RGC-funded
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