4.6 Article

A strength reliability model by Markov process of unidirectional composites with fibers placed in hexagonal arrays

期刊

INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
卷 40, 期 24, 页码 6813-6837

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijsolstr.2003.07.003

关键词

composite materials; probabilistic method; reliability; fiber breakage; hexagonal fiber array; Markov process; chain-of-bundles model; Weibull distribution

向作者/读者索取更多资源

This paper proposes a strength reliability model based on a Markov process for unidirectional composites with fibers in a hexagonal array. The model assumes that a group of fiber breaking points, a so-called cluster, evolves with increased stress. The cluster evolution process branches because of various fiber-breakage paths. Load-sharing structure of intact fibers around clusters was estimated from geometric and mechanical local load-sharing rules. Composites fracture if a cluster achieves a critical size, so the model expresses a fracture criterion by setting an absorbing state. Next, the author constituted a state transition diagram concerning cluster evolutions of 1-fiber to 7-fiber breaks and analytically solved simultaneous differential equations obtained from the diagram. Results showed that, as critical cluster size increases, slope of the fracture probability distribution is given in a Weibull probability scale as follows: m(c) = i x m(f) (i, the number of broken fibers in a cluster; m(c) and m(f), Weibull shape parameters for fracture probabilities of a critical cluster and fiber strength, respectively). This relation between m(c) and m(f) had been shown by Smith et al. [Proc. R. Soc. London, A 388 (1983) 353-391], but the present study demonstrated it analytically without any lower tail of the Weibull distribution used in that paper. In addition, the present model can be approximated by a one-state birth model. (C) 2003 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据