Journal of Applied Optics, Volume. 46, Issue 1, 129(2025)

Aircraft takeoff and landing path wind field measurement based on lidar and CFD model

Lin CHEN1,2, Xiaoliang SUN1,2、*, Yicheng SHENG3, Daoming BI4, and Jun LIU4
Author Affiliations
  • 1College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410000, China
  • 2Hunan Province Key Laboratory of Image Measurement and Vision Navigation, National University of Defense Technology, Changsha 410000, China
  • 3Zhuhai EMGO-TECH Technology Co.,Ltd., Zhuhai 519000, China
  • 4Shenyang Aircraft Design and Research Institute, Shenyang 110035, China
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    The three-dimensional information of wind field in aircraft take-off and landing channels is crucial for aircraft safety, but still lacks an accurate and efficient measurement method. To address this problem, a LiDAR-based wind field measurement method was proposed, which established a computational fluid dynamics (CFD) flow field model library covering typical scenarios of aircraft takeoff and landing path, and performed proper orthogonal decomposition (POD) on the model. Then, in the actual measurement application, the radial wind speed at several sampling points along the direction of the laser beam was measured by the wind measurement lidar, and the best matching flow field model was searched in the model library accordingly. The POD coefficients of the best matching model were corrected by the results of radial wind speed measurements, and the modified CFD flow field model was reconstructed. The experimental results show that the proposed method can achieve accurate and efficient measurement of the three-dimensional information of wind field in aircraft take-off and landing channels, and the accuracy of the wind speed measurement is better than 0.8 m·s?1.

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    Lin CHEN, Xiaoliang SUN, Yicheng SHENG, Daoming BI, Jun LIU. Aircraft takeoff and landing path wind field measurement based on lidar and CFD model[J]. Journal of Applied Optics, 2025, 46(1): 129

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    Paper Information

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    Received: Dec. 27, 2023

    Accepted: --

    Published Online: Apr. 1, 2025

    The Author Email: Xiaoliang SUN (孙晓亮)

    DOI:10.5768/JAO202546.0103002

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