RBF网络在结构抗疲劳优化中的应用

Application of RBF Neural Network in Optimum Design of Structure Antifatigue

针对某飞机机翼I型大梁的开孔加强方案,建立优化的数学模型,利用RBF神经网络模型来逼近设计结构的应力/参数非线性关系,代替原来的经验和拟合公式;采用遗传算法对机翼的加强结构进行优化设计,得到比较合理的结果。

In order to design a strengthened scheme of the holed web of the front spar in the wing for an aircraft,a mathematical model for optimization is set up,in which the RBF neural network is used to approximate the nonlinear relation between stress and parameters of the design structure to replace the original experimences and fitting formula. The genetic algorithm (GA) is used to design the optimization of the strengthened structure of the wing and the reasonable results are achieved.