A probabilistic fatigue life prediction method under random combined high and low cycle fatigue load history

Song Bai, Tudi Huang, Yan-Feng Li, Ning Lu and Hong-Zhong Huang

Reliability Engineering and System Safety, 2023, vol. 238, issue C

Abstract: In this paper, a probabilistic high and low cycle fatigue (H-LCF) life prediction framework is proposed to consider random load history into fatigue life prediction of structures. First, the random load history is generated and quantified by finite element analysis (FEA) and Monte Carlo simulation (MCS). Subsequently, based on the quantification approach and an improved H-LCF damage curve, the framework of probabilistic H-LCF life prediction is then established. A turbine shaft is analyzed by the proposed method, which confirms the superior accuracy of the proposed method than the existing ones. Overall, the proposed method provides an effective way for structures’ fatigue life and reliability assessment.

Keywords: Probabilistic fatigue life prediction; Uncertainty; Load history; H-LCF (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:238:y:2023:i:c:s0951832023003666

DOI: 10.1016/j.ress.2023.109452

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