• DocumentCode
    2647761
  • Title

    Analysis and simulation of stochastic fatigue reliability for running system of Self-Propelled Gun

  • Author

    Hu, Huibin ; Cao, Lijun ; Jia, Lianpeng ; Cao, Xinwen ; Chen, Shuxiao ; Chen, Ming

  • Author_Institution
    Dept. of Artillery Eng., Shijiazhuang Mech. Eng. Coll., Shijiazhuang, China
  • fYear
    2011
  • fDate
    17-19 June 2011
  • Firstpage
    153
  • Lastpage
    157
  • Abstract
    Actual equipment experiments are adopted to measure the load spectrum of torsion shaft. Virtual prototyping supplement the load spectrum that cannot be measured by actual experiments. Combined with material´s S-N curve, stress and strain spectrums can be obtained. To analyze the stochastic fatigue reliability accurately, nominal stress method and local stress and strain method are combined with probability density cumulation damage theory to compute the probability density distribution function. The computational results of stochastic fatigue reliability provide sufficient reference for determination of appropriate maintenance cycle and prediction of running system reliability.
  • Keywords
    fatigue; maintenance engineering; mechanical engineering computing; probability; reliability; shafts; stochastic processes; stress-strain relations; virtual prototyping; weapons; S-N curve; load spectrum; maintenance cycle; probability density; running system; self-propelled gun; stochastic fatigue reliability; stress-strain spectrums; torsion shaft; virtual prototyping supplement; Fatigue; Reliability; Roads; Shafts; Strain; Stress; Virtual prototyping; Self-Propelled Gun; fatigue reliability; running system; virtual prototyping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2011 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4577-1229-6
  • Type

    conf

  • DOI
    10.1109/ICQR2MSE.2011.5976587
  • Filename
    5976587