Accurate Prediction of Fatigue Life under Random Loading

Abstract:

This study focuses on the method of predicting the fatigue life of materials subjected to random loading. Since random stress caused by random loading is rigorously expressed in the frequency domain as stress power spectral density (PSD), fatigue life should be predicted using stress PSD. We propose two adjustment methods of improving the accuracy of fatigue life prediction using stress PSD in the frequency domain. The method proposed by Dirlik is widely used for predicting the fatigue life in the frequency domain; however, it overestimates fatigue damage caused by large stress amplitude when the slope of the fatigue resistance curve is large. To prevent this overestimation, we applied our two adjustment methods to fatigue life prediction for typical random stresses observed on mechanical products. As a result, the adjustment methods worked well in improving prediction accuracy. Lightweight and reliable products can be therefore designed by applying the proposed methods to the evaluation of fatigue life under random loading.

• Periodical: Advanced Materials Research (Volumes 891-892)
• Pages: 1347-1352
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.891-892.1347
• Online since: March 2014
• Authors: Norio Takeda, Tomohiro Naruse
• Keywords: Fatigue Life, Frequency Domain, Probability Density of Stress Amplitude, Random Loading

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