The multi-scale computational method for the mechanics parameters of the materials with random distribution of multi-scale grains

被引：62
|
作者：
Li, YY
Cui, JZ [1 ]
机构：
[1] Changsha Univ Sci & Technol, Coll Math & Comp Sci, Changsha, Peoples R China
[2] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
来源：
COMPOSITES SCIENCE AND TECHNOLOGY | 2005年 / 65卷 / 09期
基金：
中国国家自然科学基金;
关键词：
multi-scale computational method; composite materials with random distribution of grains; statistically two-scale analysis; expected mechanics parameters;
D O I：
10.1016/j.compscitech.2004.12.016
中图分类号：
TB33 [复合材料];
学科分类号：
摘要：
In this paper, the multi-scale analysis (MSA) method for the mechanics parameter computation of composite materials with random distribution of multi-scale grains is presented. First the representation of the materials with random distribution of multi-scale grains is described. Then the statistically two-scale analysis (STSA) formulation for the composite materials with periodically random distribution of one-scale grains is developed by means of construction approach inside each cell with same probability distribution, and the procedure of statistic MSA computation based on STSA method is discussed in detail. Finally, the numerical results in the model example and application to the engineering are shown. They show that SMSA is feasible to predict the mechanics performance of the materials with random distribution of grains. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1447 / 1458
页数：12
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