Statistical model for characterizing random microstructure of inclusion-matrix composites

Ahmed Al-Ostaz, Anipindi Diwakar, Khalid I. Alzebdeh

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

The variation of arrangement of micro-structural entities (i.e. inclusions) influences local properties of composites. Thus, there is a need to classify and quantify different micro-structural arrangements. In other words, it is necessary to identify descriptors that characterize the spatial dispersion of inclusions in random composites. On the other hand, Delaunay triangulation associated with an arbitrary set of points in a plane is unique which makes it a good candidate for generating such descriptors. This paper presents a framework for establishing a methodology for characterizing microstructure morphology in random composites and correlating that to local stress field. More specifically, in this paper we address three main issues: correlating microstructure morphology to local stress fields, effect of clustering of inclusions on statistical descriptors identified in the paper, and effect of number of realizations of statistical volume elements (SVEs) on statistical descriptors.

Original languageEnglish
Pages (from-to)7016-7030
Number of pages15
JournalJournal of Materials Science
Volume42
Issue number16
DOIs
Publication statusPublished - Aug 2007

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inclusions
microstructure
Microstructure
stress distribution
composite materials
Composite materials
matrices
triangulation
Triangulation
methodology
Statistical Models

ASJC Scopus subject areas

  • Materials Science(all)
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Statistical model for characterizing random microstructure of inclusion-matrix composites. / Al-Ostaz, Ahmed; Diwakar, Anipindi; Alzebdeh, Khalid I.

In: Journal of Materials Science, Vol. 42, No. 16, 08.2007, p. 7016-7030.

Research output: Contribution to journalArticle

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