稳健性(进化)
稳健优化
转子(电动)
控制理论(社会学)
气体压缩机
等熵过程
差异进化
跨音速
刀(考古)
背景(考古学)
数学
数学优化
计算机科学
工程类
机械工程
物理
人工智能
航空航天工程
机械
生物
基因
古生物学
生物化学
化学
控制(管理)
空气动力学
作者
Max Dittmann,Robin Schmidt,Marcus Meyer
摘要
Abstract This paper applies the computationally advantageous combination of a differential analysis technique and the adjoint method in the context of uncertainty quantification to the gradient-based robust design optimization of aerofoils. First, the accuracy and feasibility of the method is evaluated using an analytical test function. The method is subsequently applied to the robust design optimization of a rotor blade under geometric uncertainty, that is based on a parametrized population of optically 3D scanned blades. A significant improvement of the robustness w.r.t. the isentropic efficiency of the rotor is reported.
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