Mechanism reliability and sensitivity analysis of landing gear under multiple failure modes

被引：1
|
作者：
Zhou C. [1 ]
Ji M. [1 ]
Zhang Y. [2 ]
Liu F. [1 ]
Zhao H. [1 ]
机构：
[1] Department of Engineering Mechanics, Northwestern Polytechnical University, Xi'an
[2] AECC Commercial Aircraft Engine Co., Ltd., R & D Center, Shanghai
来源：
Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University | 2021年 / 39卷 / 01期
关键词：
Failure mode; Kriging model; Landing gear; Mechanism reliability; Sensitivity; Simulation;
D O I：
10.1051/jnwpu/20213910046
中图分类号：
学科分类号：
摘要：
For a certain type of aircraft landing gear retraction-extension mechanism, a multi-body dynamic simulation model is established, and the time-dependent curves of force and angle are obtained. Considering the random uncertainty of friction coefficient, assembly error, and the change of hinge wear under different retraction times, the reliability model is built including three failure modes of landing gear, i.e. blocking failure, positioning failure and accuracy failure. Based on the adaptive Kriging model, the reliability and sensitivity of retraction-extension system under the condition of single failure mode and multiple failure modes in series are analyzed, and the rule of reliability and sensitivity changing with the number of operations is given. The results show that the system failure probability of landing gear mechanism tends to decrease first and then increase when considering the given information of random factors, and the influences of random factors on the failure probability vary with the number of operations. This work provides a viable tool for the reliability analysis and design of landing gear mechanisms. © 2021 Journal of Northwestern Polytechnical University.
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页码：46 / 54
页数：8
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共 20 条
  • [11] PANG Huan, Motion functional reliability modeling methods and applications for typical mechanisms of aircraft, (2016)
  • [12] XU Wei, The reliability analysis of a military aircraft's landing gear retracting-extending mechanism, (2015)
  • [13] LIU Fuchao, WEI Peifeng, ZHOU Changcong, Et al., Time-dependent reliability and sensitivity analysis for planar motion mechanisms with revolution joint clearances, Acta Aeronautica et Astronautica Sinica, 39, 11, pp. 222-230, (2018)
  • [14] LYU Zhenzhou, LI Luwei, SONG Shufang, Et al., Importance analysis theory and solution method of uncertain structural system, pp. 223-225, (2014)
  • [15] HAN Zhonghua, Kriging surrogate model and its application to design optimization: a review of recent progress, Acta Aeronautica et Astronautica Sinica, 37, 11, pp. 3197-3225, (2016)
  • [16] LIU Haitao, CAI Jianfei, Ong Y S., An adaptive sampling approach for Kriging metamodeling by maximizing expected prediction error[J], Computers & Chemical Engineering, 106, pp. 171-182, (2017)
  • [17] WANG Jian, SUN Zhili, The stepwise accuracy-improvement strategy based on the Kriging model for structural reliability analysis, Structural and Multidisciplinary Optimization, 58, 2, pp. 595-612, (2018)
  • [18] ZHANG Zheng, ZHOU Changcong, DAI Zhihao, Et al., Robust optimization of hydraulic piping system based on importance measure dimension-reduction, Acta Aeronautica et Astronautica Sinica, 39, 8, pp. 281-289, (2018)
  • [19] ZHOU Changcong, TANG Chenghu, LIU Fuchao, Et al., Regional moment-independent sensitivity analysis with its applications in engineering, Chinese Journal of Aeronautics, 30, 3, pp. 1031-1042, (2017)
  • [20] ZHOU Changcong, ZHANG Zheng, LIU Fuchao, Et al., Sensitivity analysis for probabilistic anti-resonance design of aeronautical hydraulic pipelines, Chinese Journal of Aeronautics, 32, 4, pp. 948-995, (2019)
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