Mesostructure reconstruction of random particulate composites using GA
基于GA的颗粒复合材料细观胞元重构研究

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.