中文摘要：

将Kriging近似模型与并行子空间多学科优化方法相结合,对包括气动、传热和结构三个学科的涡轮叶片进行多学科优化设计,并与传统单级多学科优化方法进行对比。结果表明,基于Kriging近似模型的并行子空间多学科优化方法优化结果合理,与单级优化方法相比优化效率明显提高,寻优能力增强,适用于复杂结构的多学科优化设计。

英文摘要：

Multidisciplinary design optimization（MDO） considering aerodynamic,thermal and structural coupled system for turbine blade was performed by combining the Kriging approximate model and concurrent subspace optimization（CSSO） method.The case study shows that the optimal results are reasonable by CSSO based on Kriging approximation.Comparing to the commonly used single-level method,the CSSO method is more efficient,and can improve the design optimization result much better.It shows that the CSSO based on Kriging approximation method is well-suited for complex engineering.