2018
DOI: 10.1103/physreve.98.012134
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Geometrical percolation threshold of congruent cuboidlike particles in overlapping particle systems

Abstract: With the advances in artificial particle synthesis, it is possible to create particles with unique shapes. Particle shape becomes a feasible parameter for tuning the percolation behavior. How to accurately predict the percolation threshold by particle characteristics for arbitrary particles has aroused great interest. Towards this end, a versatile family of cuboidlike particles and a numerical contact detection algorithm for these particles are presented here. Then, combining with percolation theory, the conti… Show more

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Cited by 35 publications
(8 citation statements)
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“…The new perturbed position of the platelet is accepted if it does not cause an interpenetration superior than 10% of apatite platelet volume or if it does not go outside the tolerance cylinder. We implemented an interpenetration detection algorithm adapting the geometrical method of Lin et al 57 (see Supplementary Information ). We set a tolerance cylinder with dimensions 5% greater than the MCF cylinder to allow peripheral platelets to be rotated in the range reported in Literature 15 , 17 .…”
Section: Methodsmentioning
confidence: 99%
“…The new perturbed position of the platelet is accepted if it does not cause an interpenetration superior than 10% of apatite platelet volume or if it does not go outside the tolerance cylinder. We implemented an interpenetration detection algorithm adapting the geometrical method of Lin et al 57 (see Supplementary Information ). We set a tolerance cylinder with dimensions 5% greater than the MCF cylinder to allow peripheral platelets to be rotated in the range reported in Literature 15 , 17 .…”
Section: Methodsmentioning
confidence: 99%
“…Statistical physical studies confirm that the connectivity of the phases, characterized by their percolation thresholds, strongly depends on the shape of the particles [30][31][32][33] but also indicate that it depends on the particles size distribution (PSD) [34,35], which is not accounted for by the self-consistent scheme. Indeed, while statistical physical studies provide accurate values of the percolation thresholds on explicit morphological models, the self-consistent scheme in which the morphology is implicitly accounted for provides only "poor man's percolation" [33].…”
Section: Disordered or Poly-crystalline Materialsmentioning
confidence: 99%
“…In addition, Xu and Chen (2012) obtained PD max = 0.50 for polydisperse spheroids through RSA. It is worth mentioning that several scholars have simulated the random packings of non‐spheroidal particles, such as cubes (Malmir & Sahimi, 2016; Malmir et al., 2016, 2017), superballs (Jiao et al., 2009, 2010; Yousefi et al., 2019), Platonic particles (Torquato & Jiao, 2009a, 2009b; Zhu et al., 2019), and superellipsoids (Liu & Li, 2020; Lin et al., 2018). For instance, Malmir and Sahimi (2016) and Malmir et al.…”
Section: Random Packing Of Spheroidal Particlesmentioning
confidence: 99%