2020
DOI: 10.1061/(asce)gt.1943-5606.0002389
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Impact of Three-Dimensional Sphericity and Roundness on Coordination Number

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Cited by 29 publications
(15 citation statements)
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“…Sphericity refers to the grade of similarity between a particle and a sphere considering their length, height, and width; those particles with a shape closer to a sphere generate ordered arrangements with better distribution, reducing packing defects (wall and loosening effects) and, as a consequence, increasing packing density. This is shown in works like the ones by Pu et al [20] and Fei et al [21].…”
Section: Methodssupporting
confidence: 57%
See 1 more Smart Citation
“…Sphericity refers to the grade of similarity between a particle and a sphere considering their length, height, and width; those particles with a shape closer to a sphere generate ordered arrangements with better distribution, reducing packing defects (wall and loosening effects) and, as a consequence, increasing packing density. This is shown in works like the ones by Pu et al [20] and Fei et al [21].…”
Section: Methodssupporting
confidence: 57%
“…In contrast, highly angular particles tend to favor packing defects but have better connectivity since they have more contact points between them. Particle smoothness describes its surface texture, and this structural characteristic behaves in a similar way to roundness, since smooth surface particles have better mobility because there is low friction between them, achieving better packing densities in comparison with rough surface particles [19,21].…”
Section: Methodsmentioning
confidence: 99%
“…Since liquid in non‐saturated granular material can exist in the form of both liquid bridges between grains and thin films on grain surface (Fournier et al., 2005; Scheel et al., 2008a; Tuller & Or, 2005; Wang et al., 2016), it is likely that populations in the vicinities of T 2 ≈ 100 ms and T 2 ≈ 2 ms correspond to the liquid bridges and thin films, respectively. To test this hypothesis, for given initial volumetric water content, assuming liquid bridges contribute to the majority of liquid volume, we can estimate the average volume of liquid bridge in monodisperse spheres assuming a coordination number N ≈ 6 (Liu et al., 1999; Fei & Narsilio, 2020). Then, using the relation (Weigert & Ripperger, 1999): V=0.12dp3sin4(β)CaCθ, …”
Section: Resultsmentioning
confidence: 99%
“…The general steps in using a watershed algorithm are shown in Figure 1 (for a more detailed description of how a watershed algorithm operates we refer the reader to Kong & Fonseca (2018) and Sun et al (2019)). We chose to follow the workflow of watershed segmentation of grains described by Fei & Narsilio (2020) which is shown to be successful in separating grains in a variety of different sand samples which bare some resemblance to the materials investigated here.…”
Section: Grain Segmentationmentioning
confidence: 99%