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Vibration fatigue analysis through frequency response function of variable amplitude loading

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Abstract

This paper aims to evaluate the modal frequency responses of suspension lower arm subjected to random road excitations for fatigue life prediction. Traditional time-domain approaches for durability prediction require long signals and computationally heavier. Hence, frequency domain method was utilised to assess the fatigue life of suspension lower arm. Road tests were conducted under various road conditions to acquire the road excitation signals. Modal frequency response analysis was performed to obtain the frequency response function of the spring. In addition, fatigue life of the component was calculated using frequency domain approach with different power spectral density cycle counters, namely, Lalanne, Dirlik and narrow band. Results showed that the rural road had the lowest fatigue lives of 1.1-3.3×103 blocks to failure. It is confirmed that the Dirlik gave the most accurate prediction of fatigue life with a difference of 51 % with the time domain approaches. This study contributed to the determination of appropriate frequency domain approach for fatigue life prediction of suspension lower arm without the need of long signals.

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Acknowledgments

This study was funded by the Ministry of Education Malaysia and Universiti Kebangsaan Malaysia under the research grants FRGS/1/2019/TK03/UKM/01/3 and DIP-2019-015.

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Authors and Affiliations

  1. Department of Mechanical and Manufacturing Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, 43600, UKM Bangi, Selangor, Malaysia

    C. H. Chin, S. Abdullah & A. K. Ariffin

  2. Mechanical Engineering Programme, Faculty of Mechanical Engineering, Hangzhou Dianzi University, Zhejiang, China

    A. G. Yin

Authors
  1. C. H. Chin
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  2. S. Abdullah
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  3. A. G. Yin
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  4. A. K. Ariffin
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Corresponding author

Correspondence to S. Abdullah.

Additional information

C. H. Chin graduated with Masters in Mechanical Engineering from the Universiti Kebangsaan Malaysia, Malaysia in 2016. His research is focused on the durability of components in automobile applications and signal processing.

S. Abdullah is a Professor at the Department of Mechanical and Manufacturing Engineering, Universiti Kebangsaan Malaysia (UKM). His research focused on fatigue failure, fatigue data analysis and signal analysis.

A. G. Yin graduated with Bachelor in Mechanical Engineering from the Hangzhou Dianzi University, China in 2015. He currently studies Masters in the same university. His research is focused on intelligent manufacturing.

A. K. Ariffin is a Professor at the Department of Mechanical and Manufacturing Engineering, UKM. His specialty is in the computational method in engineering under the area of fracture mechanics, finite element/discrete element and parallels computations.

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Chin, C.H., Abdullah, S., Yin, A.G. et al. Vibration fatigue analysis through frequency response function of variable amplitude loading. J Mech Sci Technol 36, 33–43 (2022). https://doi.org/10.1007/s12206-021-1203-y

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  • DOI: https://doi.org/10.1007/s12206-021-1203-y

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