复合材料机翼鲁棒气动弹性优化设计

Robust aeroelastic optimization design of a composite wing

针对气动弹性结构,利用遗传-敏度混合算法开展鲁棒优化设计。以大展弦比复合材料机翼的鲁棒气动弹性结构优化设计为例验证了鲁棒设计方法的适用性和有效性,比较了鲁棒结构优化设计与传统优化设计的区别。研究结果表明:在设计变量存在不确定性的情况下,考虑鲁棒性约束优化得到的结构较传统优化结构具有更好的抗干扰性;但鲁棒性的满足是以增加结构质量为代价的,鲁棒性要求越高,结构增重越明显。

Robust optimization design of aeroelastic structures was investigated by using the genetic-gradient hybrid algorithm.The method was applied to an optimization design process of a robust aeroelastic structure with the high-aspect-ratio composite wing,which demonstrates the applicability and the efficiency of the method.The difference was revealed by comparing a robust structural optimal design with a traditional optimal design.The research indicates that a structure resulting from an optimization,in which the robustness constrains are taken into account,is more anti-jamming than a structure resulting from a traditional way,when the design variables are uncertain.However,the mass increment is paid for satisfying the robustness requirement.The higher robustness the structure needs,the greater the mass increment is.