A new approximation for the three-point probability function

A. Mikdam, A. Makradi, S. Ahzi, H. Garmestani, D. S. Li, Remond Y. Remond

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

Statistical continuum theory based approaches are commonly used for the computation of the effective properties of heterogeneous materials. Statistical distribution and morphology of the microstructure are represented by n-point probability function. One-point probability function statistical representation of the microstructure leads to volume fraction dependent homogenization. However, second and higher order probability functions include the information of phase distribution and morphology. Most statistical based homogenization methods are limited to two-point probability function due to the lack of simple approximation of higher order probability functions that can be easily exploited. In this paper, a new approximation of the three-point probability function is proposed and discussed. The new approximation results are compared to existing approximations from the literature and to the real probability functions calculated from a computer generated two-phase micrographs.

Original languageEnglish
Pages (from-to)3782-3787
Number of pages6
JournalInternational Journal of Solids and Structures
Volume46
Issue number21
DOIs
Publication statusPublished - 15 Oct 2009

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Keywords

  • Heterogeneous media
  • Probability functions
  • Statistical continuum

ASJC Scopus subject areas

  • Modelling and Simulation
  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering
  • Applied Mathematics

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