A probabilistic model is presented to predict the formation and propagation of crack networks in thermal fatigue. It is based on a random distribution of sites where cracks initiate and on the shielding phenomenon corresponding to the relaxed stress field created around cracks. Currently, the model
Developing a stochastic model to predict the strength and crack path of random composites
β Scribed by Hunain Alkhateb; Ahmed Al-Ostaz; Khalid I. Alzebdeh
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 955 KB
- Volume
- 40
- Category
- Article
- ISSN
- 1359-8368
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
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