2004
DOI: 10.1098/rspa.2004.1279
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Analytical approximation of the percolation threshold for overlapping ellipsoids of revolution

Abstract: Analytic approximations for percolation points in two-dimensional and threedimensional particulate arrays have been reported for only a very few, simple particle geometries. Here, an analytical approach is presented to determine the percolative properties (i.e. statistical cluster properties) of permeable ellipsoids of revolution. We generalize a series expansion technique, previously used by other authors to study arrays of spheres and cubes. Our analytic solutions are compared with Monte Carlo simulation res… Show more

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Cited by 126 publications
(88 citation statements)
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“…(9) versus the analytical fitting function of Eq. (10). Figure 4 show a good agreement of the developed tool with results obtain in [9,10].…”
Section: Matec Web Of Conferencessupporting
confidence: 68%
See 1 more Smart Citation
“…(9) versus the analytical fitting function of Eq. (10). Figure 4 show a good agreement of the developed tool with results obtain in [9,10].…”
Section: Matec Web Of Conferencessupporting
confidence: 68%
“…It consists of analyzing the overlapping (or at the limit the contact) between fibers based on an ad hoc criterion. For this aim, cylindrical fibers are represented by equivalent ellipsoids for which such an overlapping criterion exists [9,10]. Figure 2 illustrates the identification process of connected paths (in red) up to percolation from one side to the opposite side of a simulation unit-cell containing randomly generated fibers (ellipses in 2D and ellipsoids en 3D).…”
Section: Percolation Probability Of Ppf Networkmentioning
confidence: 99%
“…However, given the coexistence of the two properties, there must be other functions of A/A c that would approximate f α,φ c (φ) well. As an example, the functions (1 − A/A c ) C , where C is the constant in the approximate equality α A c ≈ C = 2.3, 26,29,32,33 the 2D equivalent of Eq. (3), approximate the curves in Fig.…”
Section: Similarities Of Effective Diffusion In 2dmentioning
confidence: 99%
“…The percolation threshold depends on the shape and the size uniformity of ganglia [124]. Based on a simple cubic lattice calculation, the threshold is estimated to be 0.341 for ganglia with a uniform size [110].…”
Section: Model Analysis: First Order Approximationmentioning
confidence: 99%