The staircase fatigue test method is a well-established, but poorly understood probe for determining fatigue strength mean and standard deviation. The sensitivity of results to underlying distributions was studied using Monte Carlo simulation by repeatedly sampling known distributions of hypothetical fatigue strength data with the staircase test method. In this paper, the effects of the underlying distribution on staircase test results are presented with emphasis on original normal, lognormal, Weibull and bimodal data. The results indicate that the mean fatigue strength determined by the staircase testing protocol is largely unaffected by the underlying distribution, but the standard deviation is not. Suggestions for conducting staircase tests are provided.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Sensitivity Study of Staircase Fatigue Tests Using Monte Carlo Simulation


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    SAE 2005 World Congress & Exhibition ; 2005



    Publication date :

    2005-04-11




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Sensitivity study of staircase fatigue tests using Monte Carlo simulation

    Song,J. / Mourelatos,Z.P. / Gu,R.J. et al. | Automotive engineering | 2005



    Monte Carlo flow field sensitivity study

    CHRUSCIEL, G. / POOL, L. | AIAA | 1987


    Fatigue life reliability prediction of a stub axle using Monte Carlo simulation

    Asri, Y. M. / Azrulhisham, E. A. / Dzuraidah, A. W. et al. | Springer Verlag | 2011


    Fatigue life reliability prediction of a stub axle using Monte Carlo simulation

    Asri, Y. M. / Azrulhisham, E. A. / Dzuraidah, A. W. et al. | British Library Online Contents | 2011