A statistic fatigue life assessment procedure is presented in this paper for estimating fatigue damage under stationary Gaussian multi-axial loadings with narrow-band frequency. The fatigue damage is determined by using the Miner-Palmgren rule in connection with a recently developed path-length based multi-axial cycle counting and fatigue life assessment method. In this procedure, the path length is determined by averaging sinusoidal waves with uniformly distributed phase angles while the cycles are estimated from the observation of peak counting results of stress components. Numerically simulated random loading paths with different degrees of non-proportionality are used here to compare the proposed statistical method with its time domain counterpart. Possible further improvement in this research direction is also indicated.


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    Title :

    Path-Length Based Statistical Analysis of Random Multi-Axial Fatigue Loading Histories


    Additional title:

    Sae Technical Papers


    Contributors:
    Yang, Fulun (author) / Cheng, Henry (author) / Wei, Zhigang (author)

    Conference:

    SAE 2011 World Congress & Exhibition ; 2011



    Publication date :

    2011-04-12




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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