Research on ARJ21 wake encounter response based on radar detection data

PAN Weijun; YIN Haoran; LUO Yuming; WANG Hao

doi:10.7510/jgjs.issn.1001-3806.2022.04.004

LASER TECHNOLOGY > 2022 > 46(4): 460-465. > DOI: 10.7510/jgjs.issn.1001-3806.2022.04.004

PAN Weijun, YIN Haoran, LUO Yuming, WANG Hao. Research on ARJ21 wake encounter response based on radar detection data[J]. LASER TECHNOLOGY, 2022, 46(4): 460-465. DOI: 10.7510/jgjs.issn.1001-3806.2022.04.004

Citation:

PDF (12818 KB)

Research on ARJ21 wake encounter response based on radar detection data

Air Traffic Management Institute, Civil Aviation Flight University of China, Guanghan 618307, China

More Information

Received Date: June 29, 2021
Revised Date: July 29, 2021
Published Date: July 24, 2022

Graphical Abstract

Abstract

Abstract

In order to reduce the wake separation between a ARJ21 aircraft and its front aircraft and to improve the airspace capacity and airport operation efficiency, theoretical analysis and experimental verification were carried out based on the actual detection of aircraft wake vortex data by airport wind lidar combined with the domestic aircraft ARJ21 aerodynamic response model. The aerodynamic force and moment of a ARJ21 aircraft under the action of different front aircraft wake were obtained. The results show that the ARJ21 is in no bump state when follows a B747 with an interval of 9.3km, and the rolling moment coefficient is less than the limit range. When follows a A320 or B737 with an interval of 6km, the ARJ21 is in the state of no turbulence, and the rolling moment coefficient is less than the limit range. The results show that the wake separation of a ARJ21 aircraft has a certain reduction space.
- laser technique,
- ARJ21 aircraft wake interval,
- aerodynamic model,
- wake encounter,
- wake safety

FullText(HTML)

References (19)

References

[1]	BARBARESCO F, MUTUEL L. Wake vortex detection, prediction and decision support tools in sesar program[EB/OL]. (2012-05-22)[2021-07-27]. https://www.scipedia.com/public/Lavergne_et_al_2014a.
[2]	DANILLE V J, DJAFRI K, FRÉDÉRIC B. Model for the calculation of the radar cross section of wake vortices of take-off and landing airplanes[EB/OL]. (2012-03-02)[2021-07-27]. http://www.wakenet3-europe.eu/fileadmin/user_upload/News%26Publications/Barbaresco_EuRAD_final.pdf.
[3]	ROBINS R E, DELISI D P. NWRA AVOSS wake vortex prediction algorithm version 3.1.1[EB/OL]. (2002-06-01)[2021-07-27]. https://ntrs.nasa.gov/citations/20020060722.
[4]	FISCHENBERG D. A method to validate wake vortex encounter mo-dels from flight test data[EB/OL]. (2012-05-22)[2021-07-27]. https://www.icas.org/ICAS_ARCHIVE/ICAS2010/PAPERS/041.PDF.
[5]	LUCKNER R, HÖHNE G, FUHRMANN M. Hazard criteria for wake vortex encounters during approach[J]. Aerospace Science and Technology, 2004, 8(8): 673-687. DOI: 10.1016/j.ast.2004.06.008
[6]	SARPKAYA T. New model for vortex decay in the atmosphere[EB/OL]. (2012-5-22)[2021-7-27]. https://doi.org/10.2514/2.2561.
[7]	PAN W J, ZUO J J, LIANG Y A, et al. Dynamic response model and safety analysis of aircraft encountering wake[J]. Journal of Ordnance Equipment Engineering, 2019, 40 (6): 211-214(in Chin-ese).
[8]	HU H. Research on aircraft wake encounter response and risk assessment method[D]. Tianjin: Civil Aviation University of China, 2019: 1-65(in Chinese).
[9]	ZHAO N N, CHEN Y, LI X Ch, et al. Safety assessment method of aircraft wake reclassification standard[J]. Journal of Safety and Environment, 2020, 20(4): 1277-1283(in Chinese).
[10]	FRÉDÉRIC B, PHILIPPE J, MATHIEU K, et al. Optimising runway throughput through wake vortex detection, prediction and decision support tools[C]//2011 Tyrrhenian International Workshop on Digital Communications - Enhanced Surveillance of Aircraft and Vehicles. New York, USA: IEEE, 2011: 27-32.
[11]	SARPKAYA T. Decay of wake vortices of large a ircraft[J]. AIAA Journal, 1998, 36(9): 1671-1679. DOI: 10.2514/2.570
[12]	GERZ T, HOLZÄPFEL F, DARRACQ D. Commercial aircraft wake vortices[J]. Progress in Aerospace Sciences, 2002, 38(3): 181-208. DOI: 10.1016/S0376-0421(02)00004-0
[13]	HOLZAPFEL F. Probabilistic two-phase wake vortex decay and trans-port model[J]. Journal of Aircraft, 2003, 40(2): 323-331. DOI: 10.2514/2.3096
[14]	PAN W J, WU Zh Y, ZHANG X L. Lidar wake vortex recognition based on k-nearest neighbor[J]. Laser Technology, 2020, 44(4): 471-477(in Chinese).
[15]	ZUO J J. Research on aircraft wake encounter risks during approach phase[D]. Guanghan: Civil Aviation Flight University of China, 2019: 1-63(in Chinese).
[16]	LIU P Q. Aerodynamics[M]. Beijing: Science Press, 2021: 1-608(in Chinese).
[17]	ANDERSON J D, YANG Y, SONG W P. Fundamentals of aerodynamics (Bilingual Teaching Version)[M]. 5th ed. Beijing: Aviation Industry Press, 2014: 26-34.
[18]	LANG S, TITTSWORTH J, BRYANT W H, et al. Progress on an ICAO wake turbulence re-categorization effort[EB/OL]. (2012-06-14)[2021-07-27]. https://doi.org/10.2514/6.2010-7682.
[19]	CONDIT P M, TRACY P W. Results of the boeing company wake turbulence test program[M]. New York, USA: Plenum Press, 1971: 473-508.

Cited By

Cited by

Periodical cited type(3)

1.	孙雯，张龙青. 基于深度卷积神经网络的产品无损分级检测方法. 激光杂志. 2025(02): 251-256 .
2.	李霞，杨正维，黄俊伟，杨亚复，高莎. 机器学习参与山区村落影像点云分类的研究. 激光技术. 2024(02): 288-294 . 本站查看
3.	李佳瑞，王继芬，范琳媛，石学军. 基于光谱和色谱数据碰撞融合策略的大麻油快速识别分类. 激光与光电子学进展. 2022(16): 506-513 .

Other cited types(1)

Get Citation

PDF

XML

Article views (7) PDF downloads (6) Cited by(4)

Turn off MathJax

Article Contents

Abstract

References

Research on ARJ21 wake encounter response based on radar detection data

Abstract

References

Cited by

Periodical cited type(3)

Other cited types(1)

Catalog

Links：

Research on ARJ21 wake encounter response based on radar detection data

Abstract

References

Cited by

Periodical cited type(3)

Other cited types(1)

Catalog

Links：

Export File

Citation

Format

Content