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- W1975161710 abstract "This paper presents a multistage regression method to obtain an empirical joint probability density function (PDF) for rainflow amplitudes and means of non-Gaussian stress processes with asymmetric distribution. The proposed PDF model captures a wide range of non-Gaussian stress processes characterized by five parameters: Standard deviation, skewness, kurtosis, irregularity factor and mean frequency. It is shown that the fatigue prediction from the closed-form empirical PDF based on the multistage regression analysis agrees well with that from extensive Monte Carlo simulations. The ultimate purpose of the method is to provide a tool for engineers to predict the remaining fatigue life of a structure with direct measurements of stress responses at critical locations on a structure or stress responses at various hot-spots on a structure from the finite element analysis without conducting further Monte Carlo simulations." @default.
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- W1975161710 date "2005-01-31" @default.
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- W1975161710 title "On the Fatigue Analysis of Non-Gaussian Stress Processes With Asymmetric Distribution" @default.
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- W1975161710 doi "https://doi.org/10.1115/1.2110879" @default.
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