進化的セルラ・オートマトンによる複合材料組成の最適化

抄録

It is recognized that the content and placement of inclusion in composite materials have a great influence on the mechanical properties such as strength. However there is no effective technique to estimate optimum properties of all models. In this research, a technique to obtain an optimum composite material composition under a constant content rate is proposed by using Cellular Automata (CA), Genetic Algorithm (GA) and Finite Element Method (FEM). The technique is one of the Evolutionary Cellular Automata (ECA) method and applied to the maximum and minimum rigidity and thermal conductivity problems of composite material. From the numerical results, it is obvious that the proposed technique is very useful.