基于POD和Kriging的水滴收集量快速预测方法
作者:
作者单位:

1.中国民用航空飞行学院工程技术训练中心,广汉 618307;2.中国民用航空飞行学院四川省通用航空器维修工程技术研究中心,广汉 618307;3.中国民用航空飞行学院航空工程学院,广汉 618307;4.西北工业大学航空学院,西安 710072

作者简介:

郭琪磊,男,讲师,E-mail:cafuc_guoql@outlook.com。

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中图分类号:

V211.3

基金项目:

国家重点研发计划子课题(2021YFB2601702);四川省通用航空器维修工程技术研究中心资助课题(GAMRC2021YB13);中国民用航空飞行学院校级科研基金(QJ2023-008)。


Rapid Prediction of Droplet Mass Caught Based on POD and Kriging
Author:
Affiliation:

1.Engineering Techniques Training Center, Civil Aviation Flight University of China, Guanghan 618307, China;2.Sichuan Province Engineering Technology Research Center of General Aircraft Maintenance, Civil Aviation Flight University of China, Guanghan 618307, China;3.College of Aviation Engineering, Civil Aviation Flight University of China, Guanghan 618307, China;4.College of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, China

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    摘要:

    数值模拟手段预测翼面处水滴撞击特性通常较为耗时,为快速准确计算结冰条件下的翼面处水滴收集量,提出了基于本征正交分解和代理模型的水滴收集量快速预测方法。首先对FAR 25部附录C中连续最大结冰条件进行优化拉丁超立方采样,通过数值模拟手段获得各采样点在翼面处水滴收集量分布,从而构造样本空间。在此基础上,利用本征正交分解(Proper orthogonal decompostion,POD)方法找到表达和重构水滴收集量的本征模态以及相应的拟合系数。最后,利用Kriging模型建立样本空间中各采样点与拟合系数间的代理模型,实现翼面处水滴收集量分布的快速预测。经多组工况验证表明:该方法可较为准确地预测翼面处水滴收集量分布,其计算成本较数值模拟方法大幅降低,能够为无人机防除冰设计提供有益参考。

    Abstract:

    Numerical simulation methods are usually time-consuming when predicting the impact characteristics of water droplets on the airfoil. In order to quickly and accurately calculate the droplet mass caught near the airfoil under icing conditions, a rapid prediction method based on proper orthogonal decomposition (POD) and the surrogate model is proposed. First, the optimal Latin hypercube sampling method is employed for the continuous maximum icing conditions in FAR 25 Appendix C, and the distributions of the droplet mass caught at each sampling point are obtained by means of numerical simulation, so as to construct the sample space. Second, the POD method is utilized to find basis modes and the fitting coefficients needed to express and reconstruct the droplet mass caught. Finally, a surrogate model between each sampling point and the fitting coefficients is established by the Kriging model, the rapid prediction of the distribution of the droplet mass caught on the airfoil is developed. The validations of this estimation method show that the proposed method has an outstanding performance on accurate and rapid prediction of the distribution of droplet mass caught. Compared to the numerical simulation method, the time-consuming of the estimated method drops significantly, which will provide helpful support for unmanned aerial vehicle (UAV) anti-/de-icing design.

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郭琪磊,杜杰,张恒.基于POD和Kriging的水滴收集量快速预测方法[J].南京航空航天大学学报,2024,56(2):318-326

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  • 收稿日期:2023-04-25
  • 最后修改日期:2023-11-01
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  • 在线发布日期: 2024-04-05
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