摘要
在空心风扇叶片结构强度分析的基础上,以叶片最大等效应力水平为约束条件,建立了叶片质量和径向位移最小化的双目标优化模型.采用正交试验设计的方法,分析了各设计变量对约束函数和目标函数的影响,减少了设计变量的数量.为了提高优化设计效率,采用径向基函数插值的方法,构造了约束函数和目标函数的响应面替代模型,从而避免了优化设计过程中大量的结构有限元分析求解.针对空心叶片结构强度优化设计的示例,探讨了替代模型和带精英策略的Pareto排序遗传算法的具体应用,得到了分布均匀的Pareto最优解,给出了空心叶片示例的具体优化设计结果.
A bi-objective optimization model for a hollow fan blade was establlslaecl tor the purpose of minimizing the mass and radial displacement with the constraint of maximum Von Mises equivalent stress, based on the structural analysis of a hollow fan blade. The effects of design variables on the constraint function and objective functions were studied u- sing orthogonal experimental design method, and the number of design variables was re- duced as a result. The response surface metamodels of constraint function and objective functions were constructed using radial basis function method so as to improve the efficiency of structural design optimization and avoid a lot of finite element analysis during the optimi- zation process. An example was solved for the purpose of studying the applications of meta- models and elitist non-dominated sorting genetic algorithm （NSGA-Ⅱ） for the bi-obiective structural design optimization of a hollow fan blade, then a group of uniform Pareto solutions and some recommended optimal results of a hollow fan blade example were obtained.
出处
《航空动力学报》
EI
CAS
CSCD
北大核心
2012年第1期97-103,共7页
Journal of Aerospace Power
关键词
空心风扇叶片
结构优化
正交试验设计
径向基函数
Pareto排序遗传算法
hollow fan blade
structural optimization
orthogonal experimental design
radial basis function
non-dominated sorting genetic algorithm （NSGA-Ⅱ）
