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

机译:高低周疲劳载荷历史随机组合下的概率疲劳寿命预测方法

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摘要

? 2023 Elsevier LtdIn 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.
机译:?2023 Elsevier Ltd本文提出一种概率高低周疲劳(H-LCF)寿命预测框架,将随机载荷历史纳入结构疲劳寿命预测。首先,通过有限元分析(FEA)和蒙特卡罗模拟(MCS)生成并量化随机荷载历史。然后,基于量化方法和改进的H-LCF损伤曲线,建立了概率H-LCF寿命预测框架。通过所提方法对涡轮轴进行了分析,证实了所提方法的精度优于现有方法。综上所述,该方法为结构疲劳寿命和可靠性评估提供了有效的途径。

著录项

  • 来源
    《Reliability engineering & system safety》 |2023年第10期|1.1-1.13|共13页
  • 作者单位

    School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China||Center for System Reliability and Safety University of Electronic Science and Technology of China;

    School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaSchool of Mechanical and Electrical Engineering University of Electronic Science and Technology of China||Center for System Reliability and Safety Univ;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类
  • 关键词

    H-LCF; Load history; Probabilistic fatigue life prediction; Uncertainty;

    机译:H-LCF;加载历史;概率疲劳寿命预测;不确定性;
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