• DocumentCode
    2701010
  • Title

    Load spectrum measurement and fatigue life prediction of torsion shaft of self-propelled guns

  • Author

    Zhi, Jianzhuang ; Liu, Guangsheng ; Zhang, Junjun ; Cao, Lijun ; Yu, Guibo

  • Author_Institution
    Dept. of Artillery Eng., Ordnance Eng. Coll., Shijiazhuang, China
  • fYear
    2012
  • fDate
    15-18 June 2012
  • Firstpage
    975
  • Lastpage
    979
  • Abstract
    In order to predict the fatigue life of torsion shaft of self-propelled gun, an experiment has been carried out through field test to achieve the load spectrums of torsion shaft. The conclusion that the maximum tensile stress is the failure stress of torsion shaft is drawn. The stochastic response surface method (SRSM) is introduced to study the low cycle fatigue life of torsion shaft. The stochastic parameters of low cycle fatigue life are expressed to stochastic variables, and the structural stochastic response is fitted based on Hermite polynomials. The function of the low cycle fatigue life of torsion shaft is achieved. The results show that the SRSM can achieve the statistical information of the structural stochastic response rapidly and accurately.
  • Keywords
    failure (mechanical); fatigue; polynomials; response surface methodology; shafts; statistical analysis; torsion; Hermite polynomials; SRSM; failure stress; fatigue life prediction; load spectrum measurement; low cycle fatigue life; maximum tensile stress; self-propelled guns; statistical information; stochastic parameters; stochastic response surface method; structural stochastic response; through field test; torsion shaft; Fatigue; Polynomials; Random variables; Response surface methodology; Shafts; Stress; Weapons; fatigue life; low cycle fatigue; stochastic response surface method; torsion shaft;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-0786-4
  • Type

    conf

  • DOI
    10.1109/ICQR2MSE.2012.6246387
  • Filename
    6246387