Laser & Optoelectronics Progress, Volume. 62, Issue 3, 0328001(2025)

Simulation of Detection and Recognition for Aircraft Wake Vortices in Upper Airspace

Xiangnan Zhu1、*, Zongming Tao2,3, and Qi Hao1
Author Affiliations
  • 1Key Laboratory of Quantum Materials and Devices, Ministry of Education, School of Physics, Southeast University, Nanjing 211189, Jiangsu , China
  • 2Jianghuai Advanced Technology Center, Hefei 230031, Anhui , China
  • 3Department of Basic Sciences, PLA Army Academy of Artillery and Air Defense, Hefei 230031, Anhui , China
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    Figures & Tables(12)
    Schematic diagram of aircraft wake vortices field velocity distribution
    Schematic diagram of radial speed calculation
    Using Doppler spectrum to obtain velocity envelope. (a) Doppler spectrum; (b) schematic diagram of positive and negative velocity envelopes
    Schematic diagram of wake vortices circulation calculation
    Distribution of tangential velocity of a single wake vortex with distance. (a) Left; (b) right
    Velocity distribution diagram of wake vortices field in YOZ section. (a) P2P model; (b) CFD calculation
    Wake vortex dissipation process. (a) Typical wake vortex intensity dissipation process curve; (b) position distribution curve of vortex core of wake vortex in space
    Variations of wake vortices circulation with altitude. (a) Flight speed is fixed at 1000 km/h; (b) flight speed increases linearly with altitude
    Horizontal distribution of maximum tangential velocity and spatial distribution of core position of wake vortex at different altitudes.(a) Horizontal distribution of maximum tangential velocity; (b) spatial distribution of core position
    Comparison of actual observations and model calculations of wake vortex: (a) Dissipation over time; (b) subsidence over time
    • Table 1. Related parameters of Airbus A330-200 model

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      Table 1. Related parameters of Airbus A330-200 model

      ParameterValue
      Aircraft wingspan /m60.3
      Aircraft mass /kg1.8×105
      Vacuum speed /(km/h)800
      Atmospheric density /(kg/m30.4135
      Eddy current dissipation rate /(m2/s34.28×10-7
      B-V (Brunt-Väisälä) frequency /Hz0.023
      Effective viscosity factor during diffusion stage0.002
    • Table 2. Relevant parameters for simulation calculations

      View table

      Table 2. Relevant parameters for simulation calculations

      ParameterValue
      F-type wingspan /m13.57
      F-type mass /kg30206
      Su-type wingspan /m14.70
      Su-type mass /kg24900
      Eddy current dissipation rate /(m2/s34.28×10-7
      B-V frequency /Hz0.023
      Effective viscosity factor during diffusion stage0.002
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    Xiangnan Zhu, Zongming Tao, Qi Hao. Simulation of Detection and Recognition for Aircraft Wake Vortices in Upper Airspace[J]. Laser & Optoelectronics Progress, 2025, 62(3): 0328001

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Mar. 21, 2024

    Accepted: Jun. 17, 2024

    Published Online: Feb. 10, 2025

    The Author Email:

    DOI:10.3788/LOP240942

    CSTR:32186.14.LOP240942

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