基于自适应遗传算法的层合板铺层优化设计

针对复合材料层合板结构设计中因铺层角度多变、难以确定最优铺层方案的问题,提出一种基于自适应遗传算法的铺层优化设计方案。该方案以层合板铺层角度为变量,以层合板最大形变量为优化目标,采用整数编码策略,运用MATLAB平台进行遗传算法设计。在寻优过程中调用ABAQUS对层合板进行有限元分析并将分析结果返回至MATLAB进行优化计算。通过对比经典遗传算法表明,该算法收敛快,更易达到优化设计的目的。

Optimum Design of Composite Laminates Based on Adaptive Genetic Algorithms

In view of the problem that it is difficult to determine the optimal ply plan in the structural design of composite laminates because of the variable ply angles,this paper proposes an optimal ply design scheme based on adaptive genetic algorithm.In the optimal ply design scheme,the ply angle of composite laminates is taken as a variable,its maximum deformation is used as the optimization objective,and the integer coding strategy is adopted.The genetic algorithm is designed on the platform of MATLAB.In the optimization process,ABAQUS is used to carry out finite element analysis of laminates and the results are returned to MATLAB for optimization calculation.Compared with the classical genetic algorithm,the fast convergence of the adaptive genetic algorithm is proved,and the optimal design is achieved.