Reliability and multidisciplinary design optimization for turbine blade based on decoupled method

A suitable reliability-based multidisciplinary design optimization (RBMDO) framework for turbine blade was proposed by combining inverse first order reliability analysis method (inverse FORM) with multidisciplinary feasible (MDF) method. The Kriging approximate model with updating function was introduced to reduce the computational cost of MDF caused by complex structure. The proposed method is efficient since it can decouple reliability analysis process from optimization process. A turbine blade design optimization was employed to illustrate the feasibility and efficiency of the proposed method. It shows that the optimal results can satisfy the required reliability and the efficiency is improved 63.8% by the proposed method as compared with commonly used double-loop based RBMDO method. It is feasible and efficient to apply this method to engineering design.