论文部分内容阅读
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。
In order to obtain a multidisciplinary design optimization method which is suitable for the complicated structure of turbine blades and at the same time considering the reliability and robustness, the 6sig-ma reliability and robust design optimization method is combined with the multidisciplinary feasible method (MDF) Taylor expansion method for reliability and robustness analysis to achieve reliability and robust design optimization of multi-disciplinary 6sigma turbine blades. The use of Kriging approximation model and continue to improve the model accuracy, to solve the problem of multi-disciplinary feasible method of large amount of calculation. The case study shows that compared with the deterministic multidisciplinary design optimization, the reliability and robustness of the turbine blade obtained by this method have been greatly improved. At the same time, the design objective is the best to meet the engineering application requirements. Feasibility in application.