基于Kriging模型的涡轮叶片多学科设计优化
Kriging model-based multidisciplinary design optimization for turbine blade
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摘要: 引入基于Kriging模型的近似技术, 建立了一种三维涡轮叶片的多学科设计优化方法.系统介绍了Kriging近似模型, 采用松散耦合方法考虑叶片各学科之间的耦合关系, 在多学科耦合分析的基础上, 采用多学科可行方法与基于Kriging模型的多学科优化方法分别进行了优化和比较.算例表明, 同等条件下相对于前者, 后者能够在精度无明显损失的情况下更快地收敛到最优解, 使涡轮叶片的各项性能得到明显改善, 证明该优化方法是可行有效的.Abstract: It presented a Kriging model-based multidisciplinary design optimization(MDO) framework for turbine blade.The approximation model,Kriging model,was reviewed and discussed systematically.Interdisciplinary coupling was considered by using loosely-coupled method.Based on multidisciplinary coupling analysis,the multidisciplinary feasible(MDF) method and Kriging model-based MDO method were founded respectively and compared subsequently.The results of optimizing a true blade show that the latter method can converge to the optimum fast and no precision lost obviously.And the overall blade performance improved remarkably demonstrates the efficiency and applicability of the proposed MDO framework.
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