Published 2025-11-15
3D Geometry Characterization of Florida and Virginia Mineral Particles
Data source language:
- English
Data reference:
- Tripathi, P., S. Lee, M. Shin, C. Lee (2023). Replication Data: 3D Geometry Characterization of Florida and Virginia Mineral Particles [Version 2]. DesignSafe-CI. https://doi.org/10.17603/ds2-p634-pg95
Contributors of raw data:
- Tripathi, Priya; Lee, Seung Jae; Shin, Moochul; Lee, Chang Hoon
Data description:
- 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.
Keywords and subjects:
- 3D particle geometry
Availability:
- publicly accessible