1993
DOI: 10.1103/physreve.47.2950
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Chord-length distribution function for two-phase random media

Abstract: A statistical correlation function of basic importance in the study of two-phase random media (such as suspensions, porous media, and composites) is the chord-length distribution function p(z). We show that p(z) is related to another fundamentally important morphological descriptor studied by us previously, namely, the lineal-path function L(z), which gives the probability of finding a line segment of length z wholly in one of the phases when randomly thrown into the sample. We derive exact series representati… Show more

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Cited by 210 publications
(122 citation statements)
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“…CLD effectively captures the shape and size distribution of phases in any given microstructure. It is closely related to the lineal-path function [53], and is likely relevant to the prediction of the effective plastic properties [52,54]. For the CLD computation performed in this study, horizontal chords that are fully in the α-Ti matrix with ends abutting a phase boundary are identified and analyzed.…”
Section: Structure-property Correlationsmentioning
confidence: 99%
See 1 more Smart Citation
“…CLD effectively captures the shape and size distribution of phases in any given microstructure. It is closely related to the lineal-path function [53], and is likely relevant to the prediction of the effective plastic properties [52,54]. For the CLD computation performed in this study, horizontal chords that are fully in the α-Ti matrix with ends abutting a phase boundary are identified and analyzed.…”
Section: Structure-property Correlationsmentioning
confidence: 99%
“…The averaged value of the volume fraction estimated at each of the five locations is reported as V int in Table 1. Chord length distributions (CLD) [52] from the segmented images were also collected. CLD effectively captures the shape and size distribution of phases in any given microstructure.…”
Section: Structure-property Correlationsmentioning
confidence: 99%
“…Other higher-order functions, such as generic n-point correlation functions (n>2), and lineal path functions, are also typically employed for characterizing porous materials (e.g., [19] and [26]), at the cost of increasing computational effort. In this work, we restrict ourselves to the lower order, one-and twopoint correlation functions, which are the most commonly employed functions in the literature.…”
Section: Spatial Correlation Functionsmentioning
confidence: 99%
“…1). Based on the asymmetry of the experimental probability density distribution of neighboring fiber distance [39,35,40], the Gamma probability density function f (x 1 ; a, k, θ) is proposed for the theoretical approach and depends on the neighboring fiber distance x 1 and three parameters a, k, θ…”
Section: Geometrical Distribution Of Unidirectional Fibers In a Bundlementioning
confidence: 99%