南京航空航天大学学报（英文版）2023，Vol.40Issue(z1)：1-12,12.DOI:10.16356/j.1005-1120.2023.S1.001
基于POD_Kriging代理模型的结冰云雾参数快速计算方法研究
Fast Calculation of Icing Cloud Parameters Based on POD_Kriging Surrogate Model
摘要
Abstract
The distribution of ice cloud parameters is of great significance to the analysis of aircraft icing.In order to obtain these parameters,traditional high-fidelity numerical simulation techniques have low computational efficiency and are difficult to apply in engineering scenarios that require real-time evaluation of icing.To overcome this difficulty,a non-intrusive surrogate model is proposed by proper orthogonal decomposion(POD)model coupled with the Kriging technology.The model takes four flight parameters and two cloud parameters as input variables.The model outputs are liquid water content(LWC)and droplet collection efficiency.A quasi-three-dimensional NACA0012 airfoil is adopted to verify the accuracy and computational efficiency of the model.The numerical results of the four test cases show that the POD_Kriging model is able to produce satisfactory results for the statistical quantities of interest.It is found that the developed surrogate model is computationally more efficient than the classical FENSAP-ICE for simulation of icing cloud field.关键词
结冰云雾参数/代理模型/本征正交分解/Kriging/快速计算Key words
icing cloud parameters/surrogate model/proper orthogonal decomposion(POD)/Kriging/fast calculation分类
航空航天引用本文复制引用
李庭宇,任靖豪,王强,易贤..基于POD_Kriging代理模型的结冰云雾参数快速计算方法研究[J].南京航空航天大学学报（英文版）,2023,40(z1):1-12,12.基金项目
This work was supported in part by the National Natural Science Foundation of China(Nos.12172372,12132019)and the National Major Science and Technology Projects(No.J2019-Ⅲ-0010-0054). （Nos.12172372,12132019）
