Time-dependent reliability and sensitivity analysis for planar motion mechanisms with revolution joint clearances

被引：0
|
作者：
Liu F. [1 ]
Wei P. [1 ]
Zhou C. [1 ]
Zhang Z. [1 ]
Yue Z. [1 ]
机构：
[1] School of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University, Xi'an
来源：
Wei, Pengfei (pengfeiwei@nwpu.edu.cn) | 2018年 / Chinese Society of Astronautics卷 / 39期
基金：
中国国家自然科学基金;
关键词：
Envelope function; Global sensitivity analysis; Planar motion mechanism; Reliability analysis; Revolution joint clearance;
D O I：
10.7527/S1000-6893.2018.22133
中图分类号：
学科分类号：
摘要：
Based on the method for reliability and sensitivity analysis of the time-dependent motion mechanism, an analysis method for calculating the global sensitivity index of the planar motion mechanism with revolution joint clearances is developed, considering the influence of revolution joint clearances of the motion mechanism on kinematic accuracy. Firstly, the envelope function is derived based on the error function of the motion mechanism, and then a formula for calculating the reliability of the mechanism is obtained. The method for global sensitivity analysis for the time-dependent planar motion mechanism is used to obtain a computation formula for the global sensitivity index of the planar motion mechanism with revolution joint clearances. Finally, the method proposed in this work is applied in two mechanism examples. The estimation results agree well with the results obtained with the Monte Carlo method, and have higher accuracy and lower computational costs. © 2018, Press of Chinese Journal of Aeronautics. All right reserved.
引用
收藏
相关论文
共 29 条
  • [21] Wang W.X., Gao H.S., Wei P.F., Et al., Extending first-passage method to reliability sensitivity analysis of motion mechanisms, Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 231, 5, pp. 573-586, (2017)
  • [22] Wei P.F., Liu F.C., Tang C.H., Reliability and reliability-based importance analysis of structural systems using multiple response Gaussian process model, Reliability Engineering & System Safety, 175, pp. 183-195, (2018)
  • [23] Fan C.Q., Lu Z.Z., Global sensitivity analysis method for multivariate output based on fuzzy Hausdorff distance, Acta Aeronautica et Astronautica Sinica, 38, 10, pp. 105-114, (2017)
  • [24] Sobol I.M., Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates, Mathematics and Computers in Simulation, 55, 1-3, pp. 271-280, (2001)
  • [25] Zhou C.C., Tang C.H., Liu F.C., Et al., Regional moment-independent sensitivity analysis with its applications in engineering, Chinese Journal of Aeronautics, 30, 3, pp. 1031-1042, (2017)
  • [26] Borgonovo E., A new uncertainty importance measure, Reliability Engineering & System Safety, 92, 6, pp. 771-784, (2007)
  • [27] Helton J.C., Davis F.J., Illustration of sampling-based methods for uncertainty and sensitivity analysis, Risk Analysis, 22, 3, pp. 591-622, (2002)
  • [28] Zhang J., Du X.P., Time-dependent reliability analysis for function generation mechanisms with random joint clearances, Mechanism and Machine Theory, 92, pp. 184-199, (2015)
  • [29] Qin Q., Safety and reliability analysis for the doors of civil aircraft, pp. 67-89, (2016)
123