机械工程学报 ›› 2021, Vol. 57 ›› Issue (16): 173-184,197.doi: 10.3901/JME.2021.16.173
• 特邀专刊:先进设计制造技术前沿:重要装备的可靠性保障 • 上一篇 下一篇
赵丙峰1,2, 廖鼎3, 朱顺鹏3, 谢里阳1,2
收稿日期:
2020-08-20
修回日期:
2021-04-25
出版日期:
2021-08-20
发布日期:
2021-11-16
通讯作者:
朱顺鹏(通信作者),男,1983年出生,博士,教授,博士研究生导师。主要研究方向为结构完整性评定、失效物理可靠性分析、疲劳强度与可靠性设计、损伤容限与寿命预测。E-mail:zspeng2007@uestc.edu.cn
作者简介:
赵丙峰,男,1991年出生,博士,讲师。主要研究方向为机械结构强度分析、多轴疲劳寿命预测和系统可靠性评估。E-mail:15940488242@163.com
基金资助:
ZHAO Bingfeng1,2, LIAO Ding3, ZHU Shunpeng3, XIE Liyang1,2
Received:
2020-08-20
Revised:
2021-04-25
Online:
2021-08-20
Published:
2021-11-16
摘要: 随着现代机械设计理论不断完善及对产品安全运行需求的提升,对结构的可靠性指标也提出了更高的要求,推动了概率疲劳寿命分析方法的发展。在机械结构的概率疲劳寿命评估过程中,充分考虑各类不确定性因素,进行结构疲劳进程驱动参数与概率疲劳寿命分布统计分析,是概率统计学和复杂结构计算力学交叉领域的热点问题。旨在系统阐释概率疲劳寿命评估发展史及基本分析流程,剖析相关概率分析理论、方法、模型及发展现状与瓶颈,主要内容涵盖概率疲劳问题的不确定性来源、疲劳进程驱动参数表征及寿命评估模型构建与应用三方面内容。总结、梳理该领域的最新研究成果并对概率疲劳寿命评估的未来发展趋势及关键问题作出展望。
中图分类号:
赵丙峰, 廖鼎, 朱顺鹏, 谢里阳. 机械结构概率疲劳寿命预测研究进展[J]. 机械工程学报, 2021, 57(16): 173-184,197.
ZHAO Bingfeng, LIAO Ding, ZHU Shunpeng, XIE Liyang. Probabilistic Fatigue Life Prediction of Mechanical Structures: State of the Art[J]. Journal of Mechanical Engineering, 2021, 57(16): 173-184,197.
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