小生境遗传算法在平面叶栅优化设计中的应用

Application of Niche Genetic Algorithm in Optimization Design on 2-D Cascade

提出了一个基于小生境遗传算法的平面叶栅优化设计方法。该方法利用奇点分布法设计无厚翼型骨线 ,然后通过小生境遗传算法使叶栅表面边界层中的流动损失最小化 ,以此搜索沿骨线最佳的厚度分布规律。已知叶栅的流场分析由一个基于边界元的程序完成。将该方法应用于 ZZ44 0叶栅的设计 ,结果表明该方法可行且有效。

The paper suggests an optimization design method for 2-D cascade based on niche genetic algorithm. In this method,the Singular-Point Distribution Approach is used to design the thick-free wing bone line. And then,the flow losses in the cascade surface boundary layer should be minimized via the genetic algorithm with which the best thickness distribution law-along the known bone line can be searched. The flow field analysis of known cascades is accomplished by the computer program based on Boundary Element Method. In applying this method in ZZ440 cascade,the results indicate that this method is feasible and effective.