考虑不确定性因素的多学科设计优化方法

将基于单循环方法的可靠性分析(SLBRA)与多学科可行(MDF)设计优化相结合,提出了一种基于可靠性的多学科设计优化(RBMDO)方法.在优化过程中使用Kriging近似模型以不断提高模型精度,解决了MDF方法反复进行多学科分析、计算量较大的问题.该方法在可靠性分析过程中避免了优化迭代,从而提高了计算效率.以涡轮叶片的设计优化为例,对该方法进行了验证并与传统双循环方法进行了对比.结果表明,优化结果满足可靠性的要求.与双循环方法相比,优化效率明显提高,证明了该方法在工程应用中可行且有效.

EFFICIENT METHOD FOR MULTIDISCIPLINARY DESIGN OPTIMIZATION BY CONSIDERING UNCERTAINTY

A new reliability-based multidisciplinary design optimization (RBMDO) framework is proposed by combining the single-loop-based reliability analysis (SLBRA) method with multidisciplinary feasible (MDF) method.The Kriging approximate model with updating is introduced to reduce the computational cost of MDF caused by the complex structure.The computational efficiency is remarkably improved as the lack of iterative process during reliability analysis.Special attention is paid to a turbine blade design optimization by adopting the proposed method.Results show that the method is much more efficient than the commonly used double-loop based RBMDO method.It is feasible and efficient to apply the method to the engineering design.