Generation of realistic sand particles with fractal nature using an improved spherical harmonic analysis

By D. Wei, Jianfeng Wang, Jiayan Nie, Bo Zhou. Computers and geotechnics, 2018

139 citations recorded by the source corpus.

Abstract 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.

Subfields: Civil and Structural Engineering, Ecology, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/83eafef5c2a4b228f9e0e2a5363a10ab8b9a3670

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In Civil and Structural Engineering

In Management, Monitoring, Policy and Law

Citations in the corpus

A poly‐superellipsoid‐based approach on particle morphology for DEM modeling of granular media (2019, background): “By virtue of the common normal concept, the contact normal c is identical to the antidirection of nB, shown in Figure 9; thus, the contact point pA on a given particle A is obtained by the global support function in Equation (22) as pA = Ŝ(−nB).”