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  • An improved model for predicting the scattered S-N curves
    Klemenc, Jernej ; Podgornik, Bojan, 1970-
    In this article an improved neural network model is presented that allows us to predict the scattered S-N curves. The model is capable of predicting the S-N curve in its high-cycle and ... very-high-cycle fatigue domains by considering also the increased scatter of the fatigue-life data below the knee point of the S-N curve. The scatter of the fatigue-life data for an arbitrary amplitude-stress level is modelled with a two-parametric Weibull%s probability density function, the parameters of which are varied as a function of the amplitude-stress level. The parameters of the S-N curve trend and its scatter distribution are not fixed, but depend on the parameters of the production process via a serial-hybrid neural network. The article presents the theoretical background and the application in the case of real experimental fatigue data for 51CrV4 spring steel manufactured with two different manufacturing technologies and two different heat treatments.
    Vir: Strojniški vestnik = Journal of mechanical engineering. - ISSN 0039-2480 (Vol. 65, no. 5, May 2019, str. 265-275, SI 35)
    Vrsta gradiva - članek, sestavni del
    Leto - 2019
    Jezik - angleški
    COBISS.SI-ID - 16644891

    Povezava(-e):

    https://www.sv-jme.eu/sl/article/an-improved-model-for-predicting-the-scattered-s-n-curves/
    Digitalna knjižnica Slovenije - dLib.si
    Repozitorij Univerze v Ljubljani – RUL
    DOI

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