Fatigue analysis of coil springs in the primary suspension of a railway vehicle based on synthetic spectrum for time-varying vibration load
Fatigue analysis of coil springs in the primary suspension of a railway vehicle based on synthetic spectrum for time-varying vibration load
The fatigue life of coil springs is usually predicted with a stationary Gaussian vibration load and deterministic structural parameters. However, the obtained fatigue life is inconsistent with the observed fatigue life of fractured springs which varies within a wide range. The work aims to propose a method to predict the fatigue life of the coil spring by considering the time-varying vibration load, i.e., root mean square (rms) varies with time and the uncertainties of geometric parameters. First, a synthetic method for time-varying vibration loads is proposed. The time-varying load is decomposed into multiple stationary Gaussian short samples represented by their power spectral density (PSD). These PSDs are synthesized according to the distribution characteristics of spectral values, in which data that are non-Gaussian are processed with the Johnson system. Second, the influence of parameter uncertainties in the coil spring is studied by a Monte Carlo analysis of the stress frequency response function. Finally, the fatigue life is calculated and compared with the results predicted by using the measured stress. The results show that the synthetic spectrum has almost the same damage potential as the measured time-varying load. In comparison with results predicted from the measured stress, the synthetic spectrum gives much better estimates of the fatigue life of the coil spring than the average spectrum. Parameter uncertainties of coil springs significantly affect fatigue life and should be taken into account.
Railway vehicle, coil spring, fatigue life, parameter uncertainty, synthetic spectrum, time-varying vibration load
1163-1175
Wang, Tengfei
eb3cd689-e898-4751-b438-465a58062d4e
Zhou, Jinsong
5302ef52-fd22-4b4d-baa6-3c640dd17f17
Sun, Wenjing
02a2e04b-ae6a-4d11-b3ff-8c7f83e2eb11
Thompson, David
bca37fd3-d692-4779-b663-5916b01edae5
Zhang, Zhanfei
9d71b5cb-3244-4900-916d-1c57e191beda
Wang, Qiushi
ed75a8d2-f39b-44d7-be36-464863ba5889
October 2023
Wang, Tengfei
eb3cd689-e898-4751-b438-465a58062d4e
Zhou, Jinsong
5302ef52-fd22-4b4d-baa6-3c640dd17f17
Sun, Wenjing
02a2e04b-ae6a-4d11-b3ff-8c7f83e2eb11
Thompson, David
bca37fd3-d692-4779-b663-5916b01edae5
Zhang, Zhanfei
9d71b5cb-3244-4900-916d-1c57e191beda
Wang, Qiushi
ed75a8d2-f39b-44d7-be36-464863ba5889
Wang, Tengfei, Zhou, Jinsong, Sun, Wenjing, Thompson, David, Zhang, Zhanfei and Wang, Qiushi
(2023)
Fatigue analysis of coil springs in the primary suspension of a railway vehicle based on synthetic spectrum for time-varying vibration load.
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 237 (9), .
(doi:10.1177/09544097231154969).
Abstract
The fatigue life of coil springs is usually predicted with a stationary Gaussian vibration load and deterministic structural parameters. However, the obtained fatigue life is inconsistent with the observed fatigue life of fractured springs which varies within a wide range. The work aims to propose a method to predict the fatigue life of the coil spring by considering the time-varying vibration load, i.e., root mean square (rms) varies with time and the uncertainties of geometric parameters. First, a synthetic method for time-varying vibration loads is proposed. The time-varying load is decomposed into multiple stationary Gaussian short samples represented by their power spectral density (PSD). These PSDs are synthesized according to the distribution characteristics of spectral values, in which data that are non-Gaussian are processed with the Johnson system. Second, the influence of parameter uncertainties in the coil spring is studied by a Monte Carlo analysis of the stress frequency response function. Finally, the fatigue life is calculated and compared with the results predicted by using the measured stress. The results show that the synthetic spectrum has almost the same damage potential as the measured time-varying load. In comparison with results predicted from the measured stress, the synthetic spectrum gives much better estimates of the fatigue life of the coil spring than the average spectrum. Parameter uncertainties of coil springs significantly affect fatigue life and should be taken into account.
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Fatigue analysis of coil springs in the primary suspension of a railway vehicle based on synthetic spectrum for time-varying vibration load
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Accepted/In Press date: 12 January 2023
e-pub ahead of print date: 2 February 2023
Published date: October 2023
Additional Information:
Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Natural Science Foundation of Shanghai [No. 21ZR1467100], the Shanghai Sailing Program [No. 20YF1451100].
Publisher Copyright:
© IMechE 2023.
Keywords:
Railway vehicle, coil spring, fatigue life, parameter uncertainty, synthetic spectrum, time-varying vibration load
Identifiers
Local EPrints ID: 474822
URI: http://eprints.soton.ac.uk/id/eprint/474822
ISSN: 0954-4097
PURE UUID: bf6abc71-2fab-4fc1-a0f0-3fa9505ed90b
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Date deposited: 03 Mar 2023 17:37
Last modified: 17 Mar 2024 02:44
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Contributors
Author:
Tengfei Wang
Author:
Jinsong Zhou
Author:
Wenjing Sun
Author:
Zhanfei Zhang
Author:
Qiushi Wang
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