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A Approach Based on Power Spectral Density for Fatigue Life Estimation

Chao Li

Open publisher page 3 citations

Abstract

Based on the information of the power spectral density(PSD), the calculation method for predicting fatigue life of components under narrow band random vibration is proposed by using random vibration theory, strength theory and Miner cumulative damage mode. The calculation method can be also coped with wide band random vibration according to the modified result of PSD and experimental methods. The life prediction method has the advantag of convenience to use and does not perform cycle counting. Power spectral density of local critical position are discussed. Experimental p-s-Ncurves are presented. The utility of the associated methodology is demonstrated by application example.

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What this paper is about

Based on the information of the power spectral density(PSD), the calculation method for predicting fatigue life of components under narrow band random vibration is proposed by using random vibration theory, strength theory and Miner cumulative damage mode. The calculation method can be also coped with wide band random vibration according to the modified result of PSD and experimental methods. The life prediction method has the advantag of convenience to use and does not perform cycle counting. Power spectral density of local critical position are discussed. Experimental p-s-Ncurves are presented. The utility of the associated methodology is demonstrated by application example.

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Available abstract

Based on the information of the power spectral density(PSD), the calculation method for predicting fatigue life of components under narrow band random vibration is proposed by using random vibration theory, strength theory and Miner cumulative damage mode. The calculation method can be also coped with wide band random vibration according to the modified result of PSD and experimental methods. The life prediction method has the advantag of convenience to use and does not perform cycle counting. Power spectral density of local critical position are discussed. Experimental p-s-Ncurves are presented. The utility of the associated methodology is demonstrated by application example.

Key concepts: Random vibration, Spectral density, Vibration, Position (finance), Vibration fatigue, Power (physics), Power density, Mode (computer interface)

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