基于遗传算法的平面叶栅多目标优化设计  

Multi-objective optimization design for 2-D cascade based on genetic algorithm

作　　者：梁武科[1] 罗兴錡[1] 冯建军[1] 

机构地区：[1]西安理工大学水利水电学院,陕西西安710048

出　　处：《水利学报》2003年第4期20-23,共4页Journal of Hydraulic Engineering

基　　金：国家自然基金资助项目(59879023)

摘　　要：本文提出了一个基于小生境遗传算法的平面叶栅多目标优化设计方法。该方法利用奇点分布法设计无厚翼型初始骨线,在最大厚度一定的条件下,采用NACA-0012型空气动力翼型的厚度分布规律对已知骨线进行加厚得到翼型,从而得到平面叶栅。然后以平面叶栅表面边界层中的流动损失最小和翼型气蚀系数最低为多目标,用距离法构造二者统一的目标函数,利用遗传算法来搜索最佳的骨线形状。已知叶栅的流场分析由一个基于边界元的程序完成。假定总损失与叶栅表面边界层中的流动损失成正比,该损失可通过积分法计算叶栅边界层得到。将该方法应用于ZZ440叶栅的设计,结果显示可以得到较满意的解。The authors proposed a multiobjective optimization design approach for 2D cascade based on niche genetic algorithm.With this approach a thicknessless wing initial bone line was designed by using Ingularity Distribution Method.After specifying the maximum thickness,a 2D casscade can be obtained by thickening the known bone line according to the thickness distribution law of NACA——0012 aerodynamic airfoil.Aiming at minimizing the flow loss of the cascade surface boundary layer and airfoil cavitation erosion,a unified objective function was established by using Distance Method and the best bone line was worked out by applying the genetic algorithm.The computer program based on the Boundary Element method was used to accomplish the flow field analysis of the known cascade.Assuming that the total loss has a direct proportion with the flow loss of the cascade surface boundary layer,the loss was calculated by integrating the boundary layer.The approach was applied to the design of ZZ440 cascade and the result was satisfactory.

关 键 词：遗传算法 平面叶栅 多目标 优化设计 

分 类 号：TV136[水利工程—水力学及河流动力学]