1997
DOI: 10.1063/1.473414
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Local volume fraction fluctuations in random media

Abstract: Although the volume fraction is a constant for a statistically homogeneous random medium, on a spatially local level it fluctuates. We study the full distribution of volume fraction within an observation window of finite size for models of random media. A formula due to Lu and Torquato for the standard deviation or ''coarseness'' associated with the local volume fraction is extended for the nth moment of for any n. The distribution function F L of the local volume fraction of five different model microstructur… Show more

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Cited by 48 publications
(43 citation statements)
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“…where S = 2 and k = 1.334 for a space of dimension n = 1 [41], and S = π and k = 1.428 for n = 2 [42]. In the present case, the cracks are initiating only on the surface, thus the obscuration is considered only on the surface but one must take into account the effect of mesocrack depth on Z obs .…”
Section: Obscuration Zonementioning
confidence: 99%
“…where S = 2 and k = 1.334 for a space of dimension n = 1 [41], and S = π and k = 1.428 for n = 2 [42]. In the present case, the cracks are initiating only on the surface, thus the obscuration is considered only on the surface but one must take into account the effect of mesocrack depth on Z obs .…”
Section: Obscuration Zonementioning
confidence: 99%
“…Computer generated 2D microstructures of varying second-phase area fraction (5%-30%), aspect ratio (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16), and degree of alignment (where the reinforcement major-axis orientation is random, perfectly aligned, or semi-aligned) are analyzed via the isotropic and directional forms of the computationally efficient Multi-Scale Analysis of Area Fractions (MSAAF) technique. The impact of these microstructure parameters on the representative volume element (RVE) necessary to characterize a microstructure is ascertained with variations in isotropic and directional homogenous length scales, derivative quantities of the MSAAF technique.…”
Section: Introductionmentioning
confidence: 99%
“…Quintanilla et al [9] and Torquato [10] defined the particle volume fraction fluctuations as the particle volume fraction coefficient-of-variation (COV). In their definition of the COV, the standard deviation of the particle volume fraction sample ensemble is divided by the macro-scopic particle volume fraction i.e., the mean particle volume fraction of the entire particle population.…”
Section: Scale-dependent Volume Fraction Fluctuationsmentioning
confidence: 99%
“…Quintanilla et al [9] and Torquato [10] used Φ in the calculation of COVφ because it simplifies arguments for convergence with increased window size, i.e., as the length-scale becomes large, the COV approaches zero. Torquato [10] argued that normalization with the sample mean, rather than the "true" mean of the entire particle population, would not necessarily guarantee convergence with increased sampling window size.…”
Section: Scale-dependent Volume Fraction Fluctuationsmentioning
confidence: 99%