基于可靠性的涡轮叶片双循环多学科设计优化

提出一种适用于涡轮叶片复杂结构的基于可靠性多学科设计优化方法.使用多学科可行性优化方法解耦.根据实验设计结果,通过Kriging模型建立多学科分析过程的近似模型,并在计算过程中不断更新近似模型.将Hasofer-Lind Rackwitz-Fiessler(HL-RF)可靠性计算方法和优化算法以双循环可靠性优化方法相结合,实现基于可靠性的多学科设计优化模型.实例分析表明,在保证结构的可靠度要求条件下,设计结果满足性能最优.验证了基于可靠性多学科设计优化方法在工程实践中的应用是可行的.

Reliability-based multidisciplinary design optimization for turbine blade using double loop approach

It presents a reliability based multidisciplinary design optimization (RBMDO) framework for turbine blade. Double loop approach is used to integrate the reliability analysis and the optimization method. Multidisciplinary feasible method is used to decouple the multidisciplinary analysis. Kriging model is used to establish the approximation of the multidisciplinary analysis. The Hasofer-Lind Rackwitz-Fiessler(HL-RF) algorithm for reliability analysis is recommended systematically. Based on the approximation, the RBMDO framework is finished. The case study shows that, this framework could make the design reach the best performance with a good reliability. It indicates that the reliability based multidisciplinary design optimization method is available and feasible for the engineering application.