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Nearest Particle Distance and the Statistical Distribution of Agglomerates from a Model of a Finite Set of Particles

J. Zidek1,2, J. Kucera1, J. Jancar1,2

Brno University of Technology, Brno, Czech Republic
Central European Institute of Technology, Brno, Czech Republic

Computers, Materials & Continua 2011, 24(3), 183-208. https://doi.org/10.3970/cmc.2011.024.183

Abstract

The structural analysis of a particulate composite with randomly distributed hard spheres is presented based on a model proposed earlier. The structural factors considered include the distribution of interparticle distances and the conditions for particle agglomeration. The interparticle distance was characterized by the nearest particle distance (NPD) and the distance derived from Delaunay triangulation (DT). The distances were calculated for every particle in the particle set and analyzed in the form of a cumulative distribution function (CDF). The CDF provides two parameters: the representation of particles which are in very close proximity to their neighbors and the most frequent distance between particles.

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Cite This Article

J. . Zidek, J. . Kucera and J. . Jancar, "Nearest particle distance and the statistical distribution of agglomerates from a model of a finite set of particles," Computers, Materials & Continua, vol. 24, no.3, pp. 183–208, 2011. https://doi.org/10.3970/cmc.2011.024.183



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