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Abstract
This paper investigates the effects of particle morphology (PM) and particle size distribution (PSD) on the micro-macro mechanical behaviours of granular soils through a novel X-ray micro-computed tomography (μCT)-based discrete element method (DEM) technique. This technique contains the grain-scale property extraction by the X-ray μCT, DEM parameter calibration by the one-to-one mapping technique, and the massive derivative DEM simulations. In total, 25 DEM samples were generated with a consideration of six PSDs and four PMs. The effects of PSD and PM on the micro-macro mechanical behaviours were carefully investigated, and the coupled effects were highlighted. It is found that (a) PM plays a significant role in the micro-macro mechanical responses of granular soils under triaxial shear; (b) the PSD uniformity can enhance the particle morphology effect in dictating the peak deviatoric stress, maximum volumetric strain, contact-based coordination number, fabric evolution, and shear band formation, while showing limited influences in the maximum dilation angle and particle-based coordination number; (c) with the same PSD uniformity and PM degree, the mean particle volume shows minimal effects on the macro-micro mechanical behaviours of granular soils as well as the particle morphology effects. © 2025 by the authors.
| Original language | English |
|---|---|
| Article number | 428 |
| Journal | Materials |
| Volume | 18 |
| Issue number | 2 |
| Online published | 17 Jan 2025 |
| DOIs | |
| Publication status | Published - Jan 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, and Research Grant No. 52378371 from the National Science Foundation of China.
Research Keywords
- particle size distribution
- particle morphology
- spherical harmonic analysis
- discrete element method
- X-ray micro-computed tomography
- granular soils
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
Fingerprint
Dive into the research topics of 'Macro-Micro Mechanics of Granular Soils Under Shear Considering Coupled Effects of Particle Size Distribution and Particle Morphology'. Together they form a unique fingerprint.Projects
- 2 Active
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GRF: Development of an X-Ray Microtomography Method for Full-Field Discrete Particle Tracking in Sand Specimens
WANG, J. J. (Principal Investigator / Project Coordinator)
1/01/25 → …
Project: Research
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GRF: Development of A Hybrid Feature-Aided Volumetric Digital Image Correlation Method for Fine-Grained Soil Mixtures
WANG, J. J. (Principal Investigator / Project Coordinator) & PAN, B. (Co-Investigator)
1/01/22 → …
Project: Research