Bivariate normal thickness-density structure in real near-planar stochastic fiber networks

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    Abstract

    We present the analysis of experimental data that supports the recently presented hypothesis that the relationship between local areal density and local thickness in planar stochastic fiber networks may be described by the bivariatc normal distribution. Measurements of the local averages of arecal density and thickness have been made on experimental liber networks with differing degrees of structural uniformity. The experimentally determined variance of local density at the 1 mm scale is in excellent agreement w:ith that calculated from the theory. Also, the use of the bivariate normal distribution to describe the relationship between local areal density and local thickness measured in complete sampling schemes is appropriate for both near-random and clumped networks.
    Original languageEnglish
    Pages (from-to)345-353
    Number of pages8
    JournalJournal of Statistical Physics
    Volume102
    Issue number1-2
    DOIs
    Publication statusPublished - Jan 2001

    Keywords

    • Clumping: Network geometry
    • Density
    • Paper
    • Porosity
    • Stochastic fiber networks

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