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2014
DOI: 10.1016/j.powtec.2013.11.034
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Modified collective rearrangement sphere-assembly algorithm for random packings of nonspherical particles: Towards engineering applications

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Cited by 33 publications
(16 citation statements)
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“…Packing of irregular shapes is usually performed by replacing them with assemblies of regular shapes (e.g. spheres, see Bertei et al (2014) ) or converting them to voxel representations, which significantly simplifies the collision/penetration detection (e.g. Byholm et al (2009) ) but requires more computational resources.…”
Section: Microstructure Generationmentioning
confidence: 99%
“…Packing of irregular shapes is usually performed by replacing them with assemblies of regular shapes (e.g. spheres, see Bertei et al (2014) ) or converting them to voxel representations, which significantly simplifies the collision/penetration detection (e.g. Byholm et al (2009) ) but requires more computational resources.…”
Section: Microstructure Generationmentioning
confidence: 99%
“…While many different types of stochastic microstructure models are available in the literature for two-phase materials, see e.g., Chiu et al (2013) and the references therein, less models are present for three-phase microstructures. Diverse packing algorithms have been developed to model both solid phases by a union of spherical (Cai et al, 2011;Kenney et al, 2009), cylindrical or ellipsoidal (Bertei et al, 2014) particles. Furthermore, using excursion sets of two Gaussian random fields allows to reproduce more complex shapes in the model, see e.g.…”
Section: Introductionmentioning
confidence: 99%
“…However, to have a better and more adequate representation of particulate microstructure, packing non-spherical particles must be considered. The approaches proposed to handle non-spherical shapes can be divided in three large groups [17]. Techniques in the first group use analytical equations for the shapes of the particles, e.g., ellipsoids, and the main modeling problem is to state analytically non-overlapping and containment conditions [18][19][20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%