Effects of grain morphology on critical state: a computational analysis
By A. Jerves, Reid Kawamoto, José E. Andrade. 2016
87 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Computational Mechanics
View Paper: https://www.semanticscholar.org/paper/27ecec99b5a70d0c8b23cbf65d6a9785e28e6584
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In Civil and Structural Engineering
In Computational Mechanics
Citations in the corpus
- Minimum image quality for reliable optical characterizations of soil particle shapes (2019, unknown): “…shown that angular and elongated soils exhibit larger index void ratios, a larger angle of internal friction, larger dilatancy, a larger constant volume friction angle, larger compressibility, and a larger small-strain modulus than rounded and spherical soils [1,3,5,7,9,14,15,20,23,28,31,41,38,39].”
- All you need is shape: Predicting shear banding in sand with LS-DEM (2018, background): “While clumping- and polyhedra-based methods can approximate the volume and general shape of sand particles, it has been shown experimentally and computationally that not only do the overall shape of particles (“sphericity”) affect bulk granular behavior, but surface curvature at a lower, local scale”