|本期目录/Table of Contents|

[1]汪磊,杨星月.基于蒙特卡洛方法的着陆擦机尾风险预测[J].中国安全生产科学技术,2019,15(2):45-50.[doi:10.11731/j.issn.1673-193x.2019.02.007]
 WANG Lei,YANG Xingyue.Risk prediction of tail strike during landing based on Monte Carlo method[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(2):45-50.[doi:10.11731/j.issn.1673-193x.2019.02.007]
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基于蒙特卡洛方法的着陆擦机尾风险预测
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
15
期数:
2019年2期
页码:
45-50
栏目:
学术论著
出版日期:
2019-02-28

文章信息/Info

Title:
Risk prediction of tail strike during landing based on Monte Carlo method
文章编号:
1673-193X(2019)-02-0045-06
作者:
汪磊杨星月
(中国民航大学 飞行技术学院,天津 300000)
Author(s):
WANG Lei YANG Xingyue
(Flight Technology College, Civil Aviation University of China, Tianjin 300000, China)
关键词:
擦机尾着陆俯仰角蒙特卡洛抽样模拟风险预测
Keywords:
tail strike landing pitch angle Monte Carlo sampling simulation risk prediction
分类号:
X949
DOI:
10.11731/j.issn.1673-193x.2019.02.007
文献标志码:
A
摘要:
为解决对航班和机队着陆时擦机尾风险客观预测问题,基于飞行QAR数据和蒙特卡洛模拟方法,建立擦机尾风险预测模型,将某航空公司Boeing737-800机队的380套QAR数据作为样本数据,运用MATLAB编程进行5 000次模拟抽样试验,得到不同机队着陆时俯仰角的分布和擦机尾风险预测曲线。研究结果表明:当着陆俯仰角大于4.5°时,机队2擦机尾风险较大;运用蒙特卡洛模拟预测的飞机着陆俯仰角更为稳定和准确。该模型可进一步软件化,为航空公司的擦机尾超限事件管理提供可靠性指标参考,实现对飞行员操作风险的动态管理。
Abstract:
In order to solve the problem about the objective prediction on the risk of tail strike during the landing of flights and fleets, a model on the risk prediction of tail strike was established based on the flight QAR data and the Monte Carlo simulation method. 380 sets of QAR data of the Boeing 737-800 fleet in a certain airline were taken as the sample data, then 5000 times of simulated sampling tests were carried out by using the MATLAB programming, and the distribution of pitch angle and the rick prediction curves of tail strike during the landing of different fleets were obtained. The results showed that when the landing pitch angle was greater than 4.5 degrees, the risk of tail strike for fleet B was larger, and the landing pitch angle of the aircraft predicted by the Monte Carlo simulation was more stable and accurate. The software implementation of the model can be carried out further, so as to provide the reference of reliability indexes for the airlines to manage the exceedance events of tail strike and realize the dynamic management on the operational risk of pilots.

参考文献/References:

[1]Boeing Commercial Airplanes. Statistical summary of commercial jet airplane accidents worldwide operations 1959-2014[R]. Seattle, WA: Boeing Commercial Airplanes, 2014.
[2]中国民用航空局航空安全办公室.中国民航不安全事件统计分析报告[R].2013.
[3]RICKY J,THERIAULT. Impending aircraft tail strike warning display symbology: United States, 6121899[P].2000-09-19.
[4]CHAN P W. A tail strike event of an aircraft due to terrain-induced wind shear at the Hong Kong International Airport[J]. Meteorological Applications, 2014, 21(3): 504-511.
[5]CONNER K, PATERSON N. Method, apparatus and computer program product for helicopter tail strike warning: United States,6,737,987[P]. 2004-05-18.
[6]郭焕军,陈智华.如何防止A320擦机尾[J].中国民航飞行学院学报, 2001, 12(3): 19. GUO Huanjun, CHEN Zhihua. How to prevent the A320 from tail strike [J]. Journal of Flying College CAAC, 2001, 12(3): 19.
[7]舒平,李福海.起飞阶段擦机尾事故分析与预防措施[J].国际航空, 2008 (11): 40-42. SHU Ping, LI Fuhai. Analysis and preventive measures of the tail-end accident during the take-off phase[J]. International Aviation, 2008 (11): 40-42.
[8]毛吉星.波音737飞机机尾擦地的检查和维修[J].航空维修与工程,2012(5):78-80. MAO Jixing. Inspection and Maintenance of Tail Strike of B737 Aircraft [J]. Aviation Maintenance & Engineering, 2012(5):78-80.
[9]孙瑞山,杨绎煊.飞机起飞擦机尾事件的风险预测研究[J]. 安全与环境工程2016,23(2):153-156. SUN Ruishan, YANG Yixuan. Risk prediction of aircraft tail strike events during take-off phase[J].Safety and Environmental Engineering, 2016,23(2):153-156.
[10]朱陆陆. 蒙特卡洛方法及应用[D]. 武汉: 华中师范大学, 2014.
[11]刘健,杨仲江,卢慧慧. 外浮顶油罐雷击起火概率计算[J].中国安全生产科学技术,2016,12(4):45-49. LIU Jian, YANG Zhongjiang, LU Huihui. Calculation on probability of fire caused by lightning for external floating roof oil tanks[J]. Journal of Safety Science and Technology, 2016,12(4):45-49.
[12]李方芳. 应用蒙特卡洛模拟预测油田经济产量研究[J]. 软件, 2010 (11): 50-53. LI Fangfang. Forecasting economic oilyield by using monte carlo simulation[J]. Computer Engineering and Software, 2010 (11): 50-53.
[13]赵洪利, 刘宇文. 基于蒙特卡罗模拟的航空发动机故障风险预测[J]. 北京航空航天大学学报, 2015, 41(3): 545-550. ZHAO Hongli, LIU Yuwen. Forecasting for aero-engine failure risk based on Monte Carlo simulation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(3): 545-550.
[14]杨超,高谦,钟海滨.基于ANSYS的可靠度分析方法及应用[J].中国安全生产科学技术,2012,8(7):139-142. YANG Chao, GAO Qian, ZHONG Haibin. Reliability analysis method and the application based on ANSYS[J]. Journal of Safety Science and Technology, 2012,8(7):139-142.
[15]汪磊, 孙瑞山, 吴昌旭, 等. 基于飞行QAR数据的重着陆风险定量评价模型[J]. 中国安全科学学报, 2014,24(2):88-92. WANG Lei, SUN Ruishan, WU Changxu, et al. A flight QAR data based model for hard landing risk quantitative evaluation[J].China Safety Science Journal, 2014,24(2):88-92.

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备注/Memo

备注/Memo:
收稿日期: 2018-09-25
基金项目: 国家自然科学基金委员会与中国民用航空局联合资助项目(U1733117);中央高校基本科研业务费资助项目(ZYGX2018003)
作者简介: 汪磊,博士,副研究员,主要研究方向为航空安全与人因。
通信作者: 杨星月,硕士研究生,主要研究方向为航空安全与人因。
更新日期/Last Update: 2019-03-06