• Title of article

    Assessment of different methods for fatigue life prediction of steel in rotating bending and axial loading

  • Author/Authors

    Amirian، J. نويسنده Department of Mechanical Engineering,Isfahan University of Technology,Isfahan,Iran , , Safari، H. نويسنده Subsea Research and Development Center,Isfahan University of Technology,Isfahan,Iran , , Shirani، M. نويسنده Subsea Research and Development Center,Isfahan University of Technology,Isfahan,Iran , , Moradi، M. نويسنده Department of Mechanical Engineering,Isfahan University of Technology,Isfahan,Iran , , Shabani، S. نويسنده Subsea Research and Development Center,Isfahan University of Technology,Isfahan,Iran ,

  • Issue Information
    دوفصلنامه با شماره پیاپی سال 2017
  • Pages
    12
  • From page
    57
  • To page
    68
  • Abstract
    Generally, fatigue failure in an element happens at the notch on a surface where the stress level rises because of the stress concentration effect. The present paper investigates the effect of a notch on the fatigue life of the HSLA100 (­high strength low alloy) steel which is widely applicable in the marine industry. Tensile test was conducted on specimens and mechanical properties were obtained. Rotating bending and axial fatigue tests were performed at room temperature on smooth and notched specimens and SN curves were obtained. Using the obtained SN curve for smooth specimens, the fatigue strength factor for the notched specimens were predicted by Weibull's weakestlink, ­Peterson, Neuber, stress gradient and critical distance methods and compared with experimental results. It was found that the critical distance and also Weibull’s weakestlink methods have the best agreement with experimental results.
  • Keywords
    Fatigue failure , Rotating bending , S-N curve
  • Journal title
    Journal of Computational and Applied Research in Mechanical Engineering (JCARME)
  • Serial Year
    2017
  • Journal title
    Journal of Computational and Applied Research in Mechanical Engineering (JCARME)
  • Record number

    2401076