• Title of article

    Checking the fatigue limit from thermographic techniques by means of a probabilistic model of the epsilon–N field

  • Author/Authors

    ALFONSO FERNANDEZ-CANTELI، نويسنده , , Enrique Castillo، نويسنده , , Antonio Argüelles، نويسنده , , Pelayo Fern?ndez، نويسنده , , Margarita Canales، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2012
  • Pages
    7
  • From page
    109
  • To page
    115
  • Abstract
    The determination of the ε–N field for a certain material, similar to the S–N case, implies a relatively high number of costly and time consuming fatigue tests at different strain amplitudes. For specific applications, the mere estimation of the fatigue limit seems to be sufficient for guaranteeing lifetime safety in fatigue design allowing practical methods to be advantageously applied as a result of the notable reduction of the experimental program implied. In this work, the reliability of the fatigue limit provided by the Risitano thermographic method is investigated in order to check its validity for practical applications. With this aim, an experimental program on a C55E steel under strain control is performed, from which the probabilistic ε–N field is assessed using the Weibull regression model of Castillo et al., which provides a global solution in both low- and long-cycle fatigue regions. The fatigue limit is derived, primarily as stress range and then compared with that resulting from the Risitano methodology. With the purpose of improving the estimation of the fatigue limit, a novel assessment procedure of the thermographic results is presented that allows an improved correspondence between the fatigue limits arising from both models, thus confirming the suitability of the thermographic technique in practical applications.
  • Keywords
    Fatigue limit , Probabilistic fatigue models , Thermographic technique
  • Journal title
    INTERNATIONAL JOURNAL OF FATIGUE
  • Serial Year
    2012
  • Journal title
    INTERNATIONAL JOURNAL OF FATIGUE
  • Record number

    1162460