Transactions of Nanjing University of Aeronautics & Astronautics
Fast Calculation of Icing Cloud Parameters Based on POD_Kriging Surrogate Model
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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.
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Project Supported:
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）.
Clc Number:
V181
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