一种复合材料桨叶气动弹性优化设计方法  

Study on aeroelastic optimal design of composite blades

作　　者：刘学磊 张兵[1] Liu Xuelei;Zhang Bing(Academy of Mechanical Engineering,Hefei University of Technology,230009,Hefei,China)

机构地区：[1]合肥工业大学机械工程学院,合肥230009

出　　处：《应用力学学报》2021年第4期1333-1341,共9页Chinese Journal of Applied Mechanics

基　　金：航空科学基金(201757P4003)。

摘　　要：考虑到直升机旋翼流场的复杂性,准确的气动力计算需要采用计算流体力学(CFD)方法,而旋翼桨叶由于展弦比较大,几何非线性效应突出,采用计算流体力学和有限元分析(CFD-FEA)方法实现桨叶的单次双向流固耦合分析就需要大量的时间,对优化设计而言,计算量难以承受。针对CFD/FEA耦合计算气动弹性特性的精度和高效性问题,通过PCA提取耦合系统的特征,基于径向基(RBF)神经网络建立气动力降阶模型,代替CFD求解器用于旋翼桨叶的气动弹性分析。将其计算结果与CFD/FEA耦合计算结果进行了对比。研究结果表明,该降阶模型是可行、高效、精确的,可以快速准确地进行复合材料直升机桨叶气动弹性优化设计研究。Carbon fiber composite materials have been widely used in rotor blades and wind turbine blades due to their higher mechanical properties,lower weight,and better designability.Considering the complexity of the rotor flow field,the CFD method should be adopted to acquire an accurate aerodynamic result.The rotor blades have a relatively large aspect ratio and the outstanding geometric non-linear effect.The CFD-FEA is used to achieve a single bidirectional fluid-solid coupling analysis of the blades to be required a lot of time,and the calculation cost is unacceptable for the further optimal design.Aiming at the accuracy and efficiency question of CFD/FEA coupled aeroelasticity calculation,the characteristics of the coupled system are extracted by Principal Component Analysis(PCA),and a reduced order model of aerodynamic is established based on the radial basis function(RBF)neural network,instead of the CFD solver for rotor blades’aeroelastic analysis.The calculated results are compared with the calculated results of full CFD/FEA coupling.The research results show that the reduced-order model is feasible,efficient and accurate,and can be used to quickly and accurately study the aeroelastic optimization design of composite helicopter blades.

关 键 词：复合材料 CFD/FEA耦合 PCA降维 降阶模型 RBF神经网络 气动弹性优化 

分 类 号：V215.3[航空宇航科学与技术—航空宇航推进理论与工程]