A Review on Development and Application of Probabilistic Fatigue Life Prediction Models for Metal Materials and Components

被引：0
|
作者：
Zhang M. [1 ]
Yuan S. [1 ]
Zhong M. [1 ]
Bai J. [1 ]
机构：
[1] Institute of Fluid Physics, China Academy of Engineering Physics, Mianyang
来源：
| 2018年 / Cailiao Daobaoshe/ Materials Review卷 / 32期
关键词：
Fatigue damage mechanism; Fatigue life prediction; Fatigue life variability; Probabilistic model;
D O I：
10.11896/j.issn.1005-023X.2018.05.017
中图分类号：
TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
Because of the uncertainty of fatigue damage process and the uncertain influence factors for fatigue life, it is difficult to predict the fatigue life of metal materials and the variability of fatigue life. Combining the statistical theory and probabilistic me-thod in the fatigue life prediction model is the most important method to describe the uncertain and statistical nature of fatigue process and the variability of fatigue life. In this paper, the development and application of fatigue life prediction model for metal materials are reviewed. The random model based on empirical fatigue life theory, the statistical model for characterizing the variability, the probabilistic model for fatigue life prediction based on microstructure and physical mechanism of fatigue, and the probabilistic model for wide spread damage are introduced and summarized. This paper ends with discussion on the future research direction of fatigue life prediction method. © 2018, Materials Review Magazine. All right reserved.
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页码：808 / 814
页数：6
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