Application of Power Spectral Density Method to Fatigue Life Estimation of the Axle Structure

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Abstract:

Based on the random vibration theory, fatigue strength theory and Miner cumulative damage theory, the formulas for estimation of fatigue life which can be coped with narrowband and broadband random vibration was derived by the peak distribution function. The power spectral density function of axle structure is deduced after the power spectral density of standard road and the vibration model of wheel had studying. Combined the power spectral density function with broadband random vibration fatigue life estimation formula, the fatigue life of axle structure was obtained. This method is simple and has a strong engineering practicality.

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272-275

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January 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Li Tianliang, Zou Shijun, Sun Dong. A New Method of Aircraft Fatigue Loading Spectrum Analysis[J]. Mechanical Science and Technology, 2006, 25(6): 690~692.

Google Scholar

[2] Luo Hongyun, Wang Yunsong, Wei Deyong. Fatigue life Prediction of vehicle components by Power Spectrum Method[J]. Transactions of the Chinese Society for Agricultural Machinery. 2001, 32(4): 84~87.

Google Scholar

[3] Meng Cairu, Lu Boyou. Estimation on vibration fatigue life-span under random loading based on PSD[J]. Journal of machine design, 2009, 26(5): 73~75.

Google Scholar

[4] Xun Zhaoxin. Random Vibration[M]. BeiJing: Higher education Press, (1990).

Google Scholar

[5] Paul H Wirsching. Fatigue under wide band random stress[J]. Journal of the structure division. ASCE, (1980).

Google Scholar

[6] GB/T7031-2005. Mechanical vibration-Road surface profiles-Reporting of measured data[S]. BeiJing: Standards Press of China, (2005).

Google Scholar

[7] The handbook of material performance data for mechanical engineering[M]. BeiJing: Mechanical industry press, (1994).

Google Scholar