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This dataset has (i) 3D geometry files of mineral particles from Florida and Virginia and (ii) analyzed 3D particle geometries. A total of 382 particle geometry files are included in this dataset. The Florida particles in this dataset are limestones, while the Virginia particles are freshly crushed granites from a quarry in Richmond, Virginia. The geometry files are obtained by 3D structured light scanning and presented in wavefront .obj format. These files can be viewed using free 3D geometry viewers such as MeshLab, Blender, and Microsoft 3D Viewer, enabling users to zoom in/out and rotate the 3D particles. The 3D particle geometries have been analyzed for shape, size, surface area, and volume. The analysis includes the use of 3D shape indices such as M (= A/V × L/6) and β, in addition to common 3D geometry measures such as surface area (A), volume (V), and size (L or D). The overall geometric properties of each particle group are also analyzed in terms of α and β*; the α informs the geometric variation (i.e., the relation between particle shape and size), and β* informs the average shape angularity of the particles. This dataset will be valuable for investigating the particle geometry-dependent soil behavior, by performing laboratory testing on analog soils after 3D printing the geometry files or using the files for discrete element modeling. Further information can be found in the related work linked above and the data report (see Data_report.pdf) included within the dataset.
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The 'Signature' of Particle Geometry - DEM Modelling Perspective
This study evidences that the particle surface-area-to-volume ratio (A/V) and the particle volume (V) have the key information of particle geometry and the ‘signature’ is realized by a power-law relationship between A/V and V in a form of V = (A/V)^α × β. We find that the power value α is influenced by the shape-size relationship while the β* term (β evaluated with a fixed value of α = -3) informs the average particle shape of a granular material regarding the overall angularity. This study also discusses how the particle shape can be retrieved in terms of Wadell’s true sphericity using the A/V and V. This concept is linked to another shape index M that interprets the particle shape as a function of surface area A, volume V, and size L. This paper explains the analytical aspects of geometric ‘signature’ and examines the idea using the example particles to address the DEM modelling-related questions.
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- PAR ID:
- 10442281
- Editor(s):
- Wriggers, Peter; Bischoff, Manfred; Oñate, Eugenio; Düster, Alexander; Zohdi, Tarek
- Date Published:
- Journal Name:
- PARTICLES 2021 – VII International Conference on Particle-based Methods, Hamburg, Germany, October 4-6, 2021
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.23967/particles.2021.033
