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针对受力分布差异较大的层合板,提出了一种复合材料铺层分级遗传优化方法.通过将结构铺层分解成全局铺层和各个区域铺层的方式,在分区域设计铺层的同时兼顾区域间的连接与较高的计算效率.针对性设计基因编码和遗传算子,各铺层基因分别进行独立遗传优化.编写了基于经典层合板理论的层合板截面刚度矩阵子程序,结合有限元方法(FEM,Finite Element Method)实现对模型的力学分析计算,获取挠度、重量等作为目标函数参数,根据Tsai-Wu失效准则判断是否破坏作为限制条件.算例证明:铺层分级优化结果合理可信,承力效果较整体铺层优化结果更好.
Aiming at the laminate with large difference in stress distribution, a hierarchical genetic optimization method for composite ply is proposed. By dividing the structural ply into global ply and ply in each area, Taking into account the inter-regional connectivity and high computational efficiency.Considering the genetic code and genetic operator, the genetics of each layer were independently and independently optimized.Calculation of the stiffness matrix sub-program based on the classical laminates theory, combined with limited The finite element method (FEM) is used to calculate the mechanical analysis of the model, obtain the deflection and weight as the objective function parameters, and judge whether it is damaged or not according to Tsai-Wu failure criterion as a constraint condition. The example shows that the result of layer classification optimization is reasonable Credible, bearing capacity than the overall optimization results better.