%0 Journal Article
%T Mesostructure reconstruction of random particulate composites using GA<br>基于GA的颗粒复合材料细观胞元重构研究
%A ZHAO Jiu-ling
%A JIANG Yu-liang
%A <br>赵玖玲
%A 蒋育良
%J 计算机应用研究
%D 2012
%I 
%X Mechanics analysis of the particulate composites meso-cell model, which is generated by using experimental methods and numerical methods, since the calculation is very large, and it is difficult to consider all the mesostructure. In order to obtain the mesostructure model for simulation, this paper reconstructed the minimal mesostructure model by designing the genetic algorithm, which had ergodicity, homogeneity and statistical isotropy, based on the random particle packing algorithm. The experiment on two-phase random particulate composites of 40% packing fraction, indicate the algorithm's availability. The results show that: the reconslructed unit cell is not only greatly reduce the structural size, and has better statistical properties than the original cell, it provides conditions for the further study of particulate composites macroscopic properties.
%K particulate composites
%K mesostructure reconstruction
%K two-point probability function
%K genetic algorithm（GA）
%K fitness function<br>颗粒复合材料
%K 细观重构
%K 两点概率函数
%K 遗传算法
%K 适应度函数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=38AAB79AD8A56B5319207CD4D21033CE&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=F3090AE9B60B7ED1&sid=7E2A6EB011C292A5&eid=F19AD5ADFE708A86&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11