Developing a stochastic model to predict the strength and crack path of random composites

Hunain Alkhateb, Ahmed Al-Ostaz, Khalid I. Alzebdeh

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

We characterize fracture and effective stress-strain graphs in 2D random composites subjected to a uniaxial in-plane uniform strain. The fibers are arranged randomly in the matrix. Both fibers and matrix are isotropic and elastic-brittle. We conduct this analysis numerically using a very fine two-dimensional triangular spring network and simulate the crack initiation and propagation by sequentially removing bonds which exceed a local fracture criterion. In particular, we focus on effect of geometric randomness on crack path of random composites. Based on that two stochastic micro-mechanic models are presented that can predict with confidence the failure probability of random matrix-inclusion composites.

Original languageEnglish
Pages (from-to)7-16
Number of pages10
JournalComposites Part B: Engineering
Volume40
Issue number1
DOIs
Publication statusPublished - Jan 2009

Keywords

  • A: Computational modelling
  • M: Nano-structures
  • P: Fracture
  • Polymer

ASJC Scopus subject areas

  • Ceramics and Composites
  • Mechanics of Materials
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering

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