Abstract
Particle morphology significantly influences the mechanical properties of soils. A coupled CFD-DEM method is developed in this paper to simulate consolidated undrained (CU) triaxial tests considering real morphologies of completely decomposed granite (CDG) particles. This method incorporates fluid compressibility into the volume-averaged Navier-Stokes equations, synchronizes CFD and DEM boundaries, and corrects elementary sphere overlaps when using clumps. The 3D morphologies of CDG particles are obtained using in-situ X-ray micro tomography (μCT) CU triaxial tests, image processing techniques, and spherical harmonic analysis. Validation of this CFD-DEM model is performed by comparing simulation results with experimental data and those obtained from the coupled fluid method. Based on the simulation results, the effects of particle morphology on the macro and microscopic undrained behavior of CDG are systematically investigated. © 2025 The Author(s).
| Original language | English |
|---|---|
| Article number | 107500 |
| Number of pages | 17 |
| Journal | Computers and Geotechnics |
| Volume | 188 |
| Online published | 4 Aug 2025 |
| DOIs | |
| Publication status | Published - Dec 2025 |
Funding
This study was supported by General Research Fund Grant Nos. CityU 11204224 and 11207321 from the Research Grants Council of the Hong Kong SAR and Research Grant No. 52378371 from the National Science Foundation of China, as well as Contract Research Project Ref. No. CEDD STD-30-2030-1-12R from the Geotechnical Engineering Office. The BL13Wbeam-line of Shanghai Synchrotron Radiation Facility (SSRF) is also acknowledged.
Research Keywords
- CFD-DEM simulation
- Completely decomposed granite
- Particle Morphology
- Undrained triaxial test
- X-ray micro tomography
Publisher's Copyright Statement
- This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/
RGC Funding Information
- RGC-funded
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Dive into the research topics of 'CFD-DEM simulation of consolidated undrained triaxial test of completely decomposed granite'. Together they form a unique fingerprint.Projects
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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
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