航空学报 > 2015, Vol. 36 Issue (8): 2688-2695   doi: 10.7527/S1000-6893.2015.0109

复杂结构部件概率疲劳寿命预测方法与模型

谢里阳, 任俊刚, 吴宁祥, 钱文学   

  1. 东北大学 航空动力装备振动及控制实验室, 沈阳 110819
  • 收稿日期:2015-04-13 修回日期:2015-04-15 出版日期:2015-08-15 发布日期:2015-06-03
  • 通讯作者: 谢里阳 男, 博士, 教授, 博士生导师。《航空学报》第八届编委。主要研究方向: 机械疲劳强度与可靠性。Tel: 024-83673915 E-mail: lyxie@me.neu.edu.cn E-mail:lyxie@me.neu.edu.cn
  • 作者简介:任俊刚 男, 博士研究生。主要研究方向: 机械疲劳强度与可靠性。Tel: 024-83678622 E-mail: renjungang1314@163.com;吴宁祥 男, 博士, 讲师。主要研究方向: 机械疲劳强度与可靠性。Tel: 024-83683853 E-mail: nxwu@me.neu.edu.cn;钱文学 男, 博士, 副教授。主要研究方向:机械疲劳强度与可靠性。Tel: 024-83683853 E-mail: wxqian@me.neu.edu.cn
  • 基金资助:

    国家自然科学基金(51175072, 51335003); 高等学校博士学科点专项科研基金(20110042130003)

Probabilistic fatigue life prediction method and modeling for complex structural parts

XIE Liyang, REN Jungang, WU Ningxiang, QIAN Wenxue   

  1. Key Laboratory of Aero Power Equipment Vibration and Control, Northeastern University, Shenyang 110819, China
  • Received:2015-04-13 Revised:2015-04-15 Online:2015-08-15 Published:2015-06-03
  • Contact: 10.7527/S1000-6893.2015.0109 E-mail:lyxie@me.neu.edu.cn
  • Supported by:

    National Natural Science Foundation of China (51175072, 51335003); Specialized Research Fund for the Doctoral Program of Higher Education of China (20110042130003)

摘要:

针对多部位损伤(MSD)复杂结构部件的疲劳寿命预测问题,通过定义损伤临界值随机变量,分析、讨论了寿命概率分布、损伤概率分布、损伤临界值概率分布的属性及其之间的关系,研究了概率损伤累积原理,提出确定累积损伤临界值概率分布的方法,建立了概率累积损伤准则。基于多层次统计分析技术和系统层可靠性建模原理,构建了复杂结构部件的概率寿命预测模型;通过各关键部位的损伤累积和结构系统的失效概率计算,实现了复杂结构部件概率疲劳寿命预测,通过典型算例展示了方法及模型的应用。

关键词: 多部位损伤, 损伤累积, 疲劳失效, 概率寿命, 可靠性

Abstract:

Aimed at the probabilistic fatigue life prediction of multi-site damage (MSD) structural components, critical damage random variable is defined, the properties of life distribution, damage distribution and critical damage distribution are analyzed, and the relationship between these distribution functions are discussed. Besides, the present paper investigates probabilistic cumulative damage principle, presents a method to determine the probability density function of critical damage and develops probabilistic cumulative damage rule. Probabilistic fatigue life prediction model of MSD structural components is established based on multi-level statistics and system-level reliability modeling technique. Probabilistic fatigue life of an MSD structural component can be predicted through cumulative damage calculation of each damage site and the calculation of system failure probability. A case study is provided to illustrate the application of the method and related model.

Key words: multi-site damage, damage accumulation, fatigue failure, probabilistic life, reliability

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