摘要
基于有限元法建立了旋翼桨叶的气动弹性动力学分析模型,提出在气动弹性稳定性,频率分布及自转惯量等约束条件下的最小质量,最小应力多目标优化。使用链式规则的灵敏度计算方法进行目标函数及约束函数的灵敏度分析,使用近似模型的响应面模型及模拟退火算法对模型进行优化计算。最后通过对实例SA349/2旋翼桨叶进行优化对比,实现了在多约束条件都满足的情况下,自转惯量提高到原来的1.05倍,桨叶总质量减少6.0%～7.2%,应力比初始模型减少5.9%～7.1%的多目标优化结果,优化性能良好。
The aeroelastic and dynamic analysis model of rotor blade was built based on the finite element method (FEM).Multiple objectives optimization of a rotor blade was investigated to reduce the blade mass and the stress at blade root.Constraints on frequency placement,autorotational inertia,and aeroelastic stability of the blade were concerned.The sensitivity analysis of the objectives and constraints was conducted with the computation method based on chain rule.The optimization was carried out satisfactorily by using the response surface model and simulated annealing algorithm.Taking the SA349-2 rotor blade as an optimization example,it is shown that the optimum solution results in a 1.05 times increase of autorotational inertia,a 6.0%～7.2% reduction of total mass of the rotor blade and a reduction in the peak-to-peak blade stress of 5.9%～7.1%,satisfying the constraint conditions of blade rotating frequencies,autorotational inertia,aeroelastic stability and so on.
出处
《振动与冲击》
EI
CSCD
北大核心
2010年第8期150-154,共5页
Journal of Vibration and Shock
关键词
气动弹性稳定性
响应面模型
旋翼桨叶
灵敏度分析
模拟退火算法
多目标优化
aeroelastic stability
response surface model
rotor blade
sensitivity analysis
simulated annealing algorithm
multiple objective optimization
