| 改进的综合CFD与畸变合成法预测动态畸变(英文) |
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| 引用本文： | 张丽芬,刘振侠,王小峰,姜健.改进的综合CFD与畸变合成法预测动态畸变(英文)[J].中国航空学报,2009,22(5). |
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| 作者姓名： | 张丽芬 刘振侠 王小峰 姜健 |
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| 作者单位： | Zhang Lifen,Liu Zhenxia(School of Power and Energy, Northwestern Polytechnical University, Xi'an 710072, China);Qu Jiyun,Wang Xiaofeng(Chinese Flight Test Establishment, Xi'an 710089, China) |
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| 摘 要： | 对综合CFD与畸变合成方法进行了改进。通过CFD求解,获得AIP上各稳态气动参数。采用BP人工神经网络直接求解高度非线性的湍流相关方程,该方程将CFD求解的稳态气动参数与试验测得湍流度进行关联。经过训练的网络可根据稳态CFD结果预测湍流度。之后根据CFD计算的稳态总压和神经网络预测的湍流度合成动态压力。最后根据合成的动态压力寻找最大瞬时畸变。文中使用了六个工况的飞行数据验证该方法的准确度并且与原方法的计算结果进行了比较。结果表明该方法预测的畸变值与试验畸变值吻合较好,且预测结果较原方法与试验值更接近,该方法能够在试验前用来预测动态畸变,具有很强的工程价值。
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| 关 键 词： | CFD 畸变合成 湍流相关 BPANN 动态畸变 |
An Improved CFD-synthesis Method for Predicting Inlet Dynamic Distortion |
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| Zhang Lifen,Liu Zhenxia,Qu Jiyun,Wang Xiaofeng.An Improved CFD-synthesis Method for Predicting Inlet Dynamic Distortion[J].Chinese Journal of Aeronautics,2009,22(5). |
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| Authors: | Zhang Lifen Liu Zhenxia Qu Jiyun Wang Xiaofeng |
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| Institution: | Zhang Lifena,Liu Zhenxiaa,Qu Jiyunb,Wang Xiaofengb aSchool of Power and Energy,Northwestern Polytechnical University,Xi'an 710072,China bChinese Flight Test Establishment,Xi'an 710089,China |
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| Abstract: | This article presents an improved computational fluid dynamics(CFD)-synthesis method to predict dynamic distortion.A steady-state flow field is derived from a CFD solution,through which are acquired total pressure,density,turbulence kinetic energy and others in steady-state at an aerodynamic interface plane(AIP).Back-propagation artificial neural network(BP ANN) is used to find out the relationship between the measured flight turbulence and the CFD-computed turbulence parameters.The dynamic pressure is obta... |
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| Keywords: | computational fluid dynamics dynamic pressure synthesis turbulence correlation back-propagation artificial neural network dynamic distortion |
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