Reliability and multidisciplinary design optimization for turbine blade based on single-loop method

An efficient reliability-based multidisciplinary design optimization (RBMDO) framework for turbine blade was proposed by combining the single-loop-based reliability analysis (SLBRA) method with concurrent subspace optimization (CSSO) method. The Kriging approximation model was used and updated during the optimization process. The proposed method is efficient because it does not need iterative process during finding the most probable points of failure (MPP). A turbine blade design optimization was employed to illustrate the feasibility and efficiency of the proposed method, it shows that the optimal results satisfied the required reliability. From the comparison with the commonly used double-loop based RBMDO method it indicates that the proposed method is much more efficient and well-suited for complex engineering.