期刊
COMPUTERS AND GEOTECHNICS
卷 104, 期 -, 页码 1-12出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.compgeo.2018.08.002
关键词
Particle morphology; Spherical harmonic analysis; Fractal dimension; 3D printing; Granular column collapse
类别
资金
- National Natural Science Foundation of China - China [51508216, 51779213]
- Research Grants Council of the Hong Kong SAR [CityU 11272916]
Based on X-ray micro-computed tomography images of natural sand particles, a set of spherical harmonic descriptors and an associated fractal dimension were introduced to characterise the multi-scale particle morphology. Based on the statistics of the fractal dimensions for different types of sands, this study proposed a practical method to generate realistic sand particles with the major morphological features of their mother sands. To validate this method, two virtual sand assemblies were generated, whose 3D printing and shape parameters were compared with those of real sand particles. Furthermore, these generated particle morphologies were incorporated into DEM simulations of granular column collapse.
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