Improved fatigue failure model for reliability analysis of mechanical parts inducing stress spectrum

Yuhan Wang, Xintian Liu, Haijie Wang, Xu Wang and Xiaolan Wang

Journal of Risk and Reliability, 2021, vol. 235, issue 6, 973-981

Abstract: To study the influence of random parameter on the reliability of the vehicle front stabilizer bar, the fatigue strength is analyzed according to the random fatigue strength prediction method, then the fatigue limit of the actual parts are estimated, a new fatigue failure model is improved by using the fatigue limit S e of actual parts. Through this model, the stress spectrum collected by real vehicle is introduced, Monte-Carlo simulation method is adopted to analyze the reliability and sensitivities of stabilizer bar under driving conditions. In addition, the influence of each basic random parameter on the failure probability is obtained. The results show that stabilizer bar diameter has a great influence on the failure probability, which provides certain reference for improving the reliability of the front stabilizer bar.

Keywords: Vehicle front stabilizer bar; random fatigue strength; fatigue failure model; reliability; sensitivity (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:sae:risrel:v:235:y:2021:i:6:p:973-981

DOI: 10.1177/1748006X20987402

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