Towards Efficient High-Dimensional Aerodynamic Shape Optimization:Surrogate Modeling Via Gradient-Enhanced Kriging

摘要：

This paper presents a novel surrogate modeling method that can be potentially used for higher-dimensional aerodynamic shape optimization based on high-fidelity Computational Fluid Dynamics (CFD) methods. The key idea of this method is to use gradient to enhance the prediction of a kriging model. The gradient can be efficiently computed by adjoint method. For give number of samples points, the prediction accuracy of the surrogate model can be improved. In turn, the total computational cost of building a surrogate model at a give accuracy level can be reduced. The presented method is validated by analytical function and demonstrated for building the surrogate model for the object function of an airfoil inverse design problem, with 20 design variables. It is preliminarily shown that gradient-enhanced kriging is promising for high-dimensional aerodynamic problems.

关键词： surrogate model kriging models gradient-enhanced kriging transonic flow aerodynamic design airfoil

作者: Han Zhonghua Zhang Keshi

作者单位: National Key Laboratory of Science and Technology on Aerodynamic Design and Research,School of Aeronautics, Northwestern Polytechnical University, 710072, Xian

会议类型: 国际会议

会议名称: 2010 Asia-Pacific International Symposium on Aerospace Technology(2010 亚太航空航天技术研讨会 APISAT 2010)

会议地点: 西安

会议语种:英文

页码: 19-22

在线出版日期: 2010-09-01（万方平台首次上网日期，不代表论文的发表时间）