Reliability sensitivity analysis of a vibration transfer path system based on stiffness degeneration

被引:0
|
作者
Wang X. [1 ]
Yang L. [1 ]
Zhang X. [1 ]
Ma R. [1 ]
机构
[1] Research Center of Mechanical Kinetics and Reliability, Northeastern University, Qinhuangdao
来源
Zhendong yu Chongji/Journal of Vibration and Shock | 2020年 / 39卷 / 20期
关键词
Random parameters; Reliability; Reliability sensitivity; Stiffness degradation; Transfer path;
D O I
10.13465/j.cnki.jvs.2020.20.034
中图分类号
学科分类号
摘要
A structural system must undergo stiffness degradation during the vibration process. By introducing the stiffness cumulative damage theory into the vibration differential equation, combined with the stochastic finite element method and the reliability theory, a mathematical model of the reliability and reliability sensitivity of the vibration transfer path system with random parameters considering stiffness degradation was obtained. The reliability and the reliability sensitivity to each random parameter of a tool holder system at the random parameter mean with the excitation frequency and time were obtained. The results show that the stiffness degradation caused the reliability and reliability sensitivity to random parameters to shift with time; the reliability sensitivity peak fluctuates with time; the peak value in the frequency domain at the initial time is not necessarily the maximum value in the time domain. The accuracy of the method was further proved by the Monte Carlo method. System stability can be enhanced by optimizing sensitive parameters; the resonance failure caused by the change of the resonance region with time can be effectively prevented. © 2020, Editorial Office of Journal of Vibration and Shock. All right reserved.
引用
收藏
页码:266 / 273
页数:7
相关论文
共 13 条
  • [1] ZIO E., System reliability and risk analysis, The Monte Carlo Simulation method for system reliability and risk analysis, pp. 7-17, (2013)
  • [2] HUANG L, SHUAI H, TAO C, Et al., The finite element method for the reliability analysis of lining structures based on Monte Carlo stochastic, Cluster Computing, 20, 4, pp. 1-13, (2017)
  • [3] YU L, MENG L L, LIU K, Et al., Chatter reliability of milling system based on first-order second-moment method, International Journal of Advanced Manufacturing Technology, 87, pp. 1-9, (2016)
  • [4] ZHAO Qun, ZHANG Yimin, ZHAO Jinfang, Sensitivity analysis of nonlinear stiffness vibration transfer path system, Journal of North-eastern University(Natural Science), 30, 8, pp. 1174-1177, (2009)
  • [5] LI J, MOURELATOS Z P., Time-dependent reliability estimation for dynamic problems using a niching genetic algorithm, Journal of Mechanical Design, 131, 7, (2009)
  • [6] (2015)
  • [7] ZHOU Zhigang, XU Fang, Dynamic reliability analysis of gear transmission system of wind turbine considering strength degradation and dependent failure, Journal of Mechanical Engineering, 52, 11, pp. 80-87, (2016)
  • [8] (2017)
  • [9] LIU X F, WU Z, SONG M, Et al., Based on the theory of the miner fatigue damage of fuzziness analysis and mathematical modeling, Applied Mechanics & Materials, 437, pp. 124-128, (2013)
  • [10] (2010)