Abstract
In an aircraft, the lock mechanism is one of the important components of the landing gear door lock system, whose working performance affects the aircraft flight performance directly. This research focuses on reliability assessment and reliability improvement of the locking process of an aircraft lock mechanism. First, according to the motion principle of the aircraft lock mechanism, a simulation model of the locking process is built by LMS Virtual.Lab simulation platform. Then, two performance functions of the two critical failure modes of the locking process about maximum locking resistance and required time are established, respectively. Subsequently, Kriging model and importance sampling method are combined to evaluate the reliability of the locking process. Finally, the reliability sensitivity is analyzed to identify critical variables which influence the reliability. Three cases are analyzed by adjusting the parameters of the two most critical variables, and the results show that the system reliability and the reliability of each failure mode are improved during the locking process of the aircraft lock mechanism.
Similar content being viewed by others
References
H. Wang, B.F. Song, T.X. Yu, Investigation on experimental motion reliability based on simulation system for mechanism the multibody simulation model. J. Astronaut. 32(5), 1005–1011 (2011)
Z.C. Sun, T.X. Yu, W.M. Cui, B.F. Song, A simulative reliability trial method for mechanism based on multi-factors coupling. J. Astronaut. 34(11), 1516–1522 (2013)
H. Pang, T.X. Yu, B.F. Song, Failure mechanism analysis and reliability assessment of an aircraft slat. Eng. Fail. Anal. 60, 261–279 (2016)
W. Guo, W.M. Cui, Y. Shi, J.Y. Liu, B.F. Song, Function failure and failure boundary analysis for an aircraft lock mechanism. Eng. Fail. Anal. 70, 428–442 (2016)
D. Sun, G. Chen, Kinematic accuracy analysis of planar mechanisms with clearance involving random and epistemic uncertainty. Eur. J. Mech. A. Solids 58, 256–261 (2016)
S.X. Wang, Y.H. Wang, B.Y. He, Dynamic modeling of flexible multibody systems with parameter uncertainty. Chaos, Solitons Fractals 36, 605–611 (2008)
T.W. Liao, Z.H. Zhan, C.R. Mount, An integrated database and expert system for failure mechanism identification: part I automated knowledge acquisition. Eng. Fail. Anal. 6, 387–406 (1999)
X.S. Yu, T.X. Yu, L.K. Song, B.F. Song, Failure criterion analysis and reliability assessment in process of cartridge ejection. Eng. Fail. Anal. 96, 130–141 (2019)
L.J. Shen, Y.G. Zhang, K.L. Song, Failure analysis of a lock mechanism with multiple dependent components based on two phase degradation model. Eng. Fail. Anal. 104, 1076–1093 (2019)
X.C. Zhuang, T.X. Yu, Time-varying dependence research on wear of revolute joints and a lock mechanism. Eng. Fail. Anal. 96, 543–561 (2019)
X.Y. Li, W.B. Chen, R. Kang, Performance margin-based reliability analysis for aircraft lock mechanism considering multi-source uncertainties and wear. Reliab. Eng. Syst. Saf. 205, 107234 (2021). https://doi.org/10.1016/j.ress.2020.107234
M.D. Angelis, E. Patelli, M. Beer, Advanced line sampling for efficient robust reliability analysis. Struct. Saf. 52, 170–182 (2015)
S.F. Song, Z.Z. Lu, H.W. Qiao, Subset simulation for structural reliability sensitivity analysis. Reliab. Eng. Syst. Saf. 94, 658–665 (2009)
D.L. Allaix, V.I. Carbone, An improvement of the response surface method. Struct. Saf. 33, 165–172 (2011)
E.H. Jorge, A.A. Diego, Neural-network-based reliability analysis: a comparative study. Comput. Methods Appl. Mech. Eng. 191, 113–132 (2001)
J.P.C. Kleijnen, Kriging metamodeling in simulation: a review. Eur. J. Oper. Res. 192(3), 707–716 (2009)
M. Neal, Radford, Slice Sampling. Ann. Stat. 31(3), 705–767 (2003)
P. Lloyd, Stuart, least squares quantization in PCM. IEEE Trans. Inf. Theory 28, 129–137 (1982)
G.J. Hahn, S.S. Shapiro, Statistical Models in Engineering (Wiley, Hoboken, 1994), p. 88
Z.Z. Lu, C.L. Liu, L. Fu, An adaptive importance sampling algorithm and its application for multiple failure modes. J. Theor. Appl. Mech. 38(5), 705–711 (2006)
Acknowledgments
This project was supported by National Natural Science Foundation of China (Grant No. 52075443), Foundation of Equipment Advance Research Program of China (No. 61400040503), and Basic Research Program of Natural Science of Shaanxi Province of China (No. 2020JM-113).
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Song, K., Zhang, Y. & Shen, L. Reliability Assessment and Improvement for Aircraft Lock Mechanism with Multiple Failure Modes. J Fail. Anal. and Preven. 21, 640–648 (2021). https://doi.org/10.1007/s11668-020-01091-6
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11668-020-01091-6