Proper Orthogonal Decomposition, surrogate modelling and evolutionary optimization in aerodynamic design
Proper Orthogonal Decomposition, surrogate modelling and evolutionary optimization in aerodynamic design
复制标题
DOI：
10.1016/j.compfluid.2013.06.007
复制
发表时间：
2013-09-15
影响因子：
2.8
通讯作者：
Quagliarella, Domenico
中科院分区：
文献类型：
--
作者：
Iuliano, Emiliano;Quagliarella, Domenico
提出了一种利用降阶模型作为替代评价器的cfd气动设计计算方法。该模型基于CFD解集合的正交分解。为了更好地求解跨声速流动中的激波区域，提高替代预测的精度，提出了一种分区方法。模型验证和填充标准显示为有效的工具，用于检查代理的准确性，从而将“智能”信息反馈给模型。将降阶模型集成到一个进化优化框架中，作为适应度评估器来改善二维翼型的气动性能。最后，将基于代理的形状优化的性能与元模型辅助优化的效率和平面优化的精度进行了比较，在平面优化中，每个气动评估都使用高保真模型进行。(C) 2013 Elsevier Ltd.版权所有。
A computational methodology is proposed for CFD-based aerodynamic design to exploit a reduced order model as surrogate evaluator. The model is based on the Proper Orthogonal Decomposition of an ensemble of CFD solutions. A zonal approach is presented to better solve the shock wave region and improve the surrogate prediction in transonic flow. Model validation and in-fill criteria are shown as valid tools to examine the accuracy of the surrogate and, therefore, to feed the model back with "intelligent" information. The reduced order model is integrated in an evolutionary optimization framework and used as fitness evaluator to improve the aerodynamic performances of a two-dimensional airfoil. Finally, the performances of the surrogate-based shape optimization are compared to the efficiency of a meta-model assisted optimization and to the accuracy of a plain optimization, where, instead, each aerodynamic evaluation is performed with the high-fidelity model. (C) 2013 Elsevier Ltd. All rights reserved.