涡轮叶片多学科可靠性及稳健设计优化

Multidisciplinary probabilistic and robust design optimization for turbine blade

为了得到一种适用于涡轮叶片复杂结构并同时考虑可靠性及稳健性的多学科设计优化方法,将6sig-ma可靠性及稳健设计优化方法与多学科可行方法(MDF)相结合,采用二阶Taylor展开法进行可靠性及稳健性分析,实现了涡轮叶片多学科6sigma可靠性及稳健设计优化。使用Kriging近似模型并不断提高模型精度,解决了多学科可行方法计算量较大的问题。实例分析表明,与确定性多学科设计优化相比,采用该方法得到的涡轮叶片可靠性及稳健性均有大幅度提高,同时设计目标最优,满足工程应用的要求,验证了该方法在工程应用中的可行性。

To investigate a suitable multidisciplinary design optimization method for turbine blade considering uncertainty,a multidisciplinary six sigma probabilistic and robust design optimization method for turbine blade was presented. Multidisciplinary feasible （MDF） method was used to decouple the multidisciplinary analysis and second order Taylor＇ expansion method was employed to measure the mean and standard deviation of variables. The Kriging approximate model with updating was introduced to reduce the computational cost of MDF. The case study shows that the proposed method can make the design reach the best performance with desired reliability and robustness. The reliability and robustness are improved compared to deterministic multidisciplinary design optimization. It indicates that the proposed method is available and feasible for the engineering application.