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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。
Combining reliability analysis (SLBRA) based on single cycle method with multidisciplinary viability (MDF) design optimization, a multidisciplinary design optimization (RBMDO) method based on reliability is proposed. In the process of optimization, Kriging approximation model is used to improve the accuracy of the model, which solves the problem that the MDF method repeatedly carries out multi-disciplinary analysis and has a large amount of calculation. This method avoids optimization iterations in the reliability analysis process, which improves computational efficiency. Taking turbine blade design optimization as an example, this method is verified and compared with the traditional double-loop method. The results show that the optimization results meet the requirements of reliability. Compared with the double cycle method, the optimization efficiency is obviously improved, which proves that this method is feasible and effective in engineering application.