【作者】 吕斌； 谢长川； 杨超；

【Author】 Lv Bin Xie Changchuan Yang Chao(School of Aeronautics Science & Engineering, Beihang University, Beijing 100083, China)

【机构】 北京航空航天大学航空科学与工程学院；

【摘要】 机翼的低速风洞试验颤振模型设计是一个多学科交叉的问题,难度大,耗时多。遗传/敏度混合优化算法具有很好的全局和局部寻优能力,且收敛速度很快,本文将这种方法应用于机翼的颤振模型设计,提高了模型设计的速度和精度,降低了设计难度,从而为颤振模型工程设计提供了一种有效的手段。更多还原

【Abstract】 The flutter wing model designing for low-speed wind tunnel test is a multidisciplinary problem, in which there is lots of difficulty, so it expends abundant time conventionally. In order to solve the difficulty, the paper uses a method named genetic/sensitivity-based hybrid algorithm, which combined the genetic and sensitivity-based algorithms into a hybrid one and had very well global and local search capabilities and optimization efficiency. With this method, not only the time of model designing has been reduced to a great extent, but also the design precision has been assured. Accordingly, the paper provides an efficient method for flutter model in engineering.更多还原