文献类型：期刊文献

英文题名：A P-S-N curve fitting method based on mixed Weibull distribution and expectation-maximization algorithm

作者：Liu, Jianhui[1];Liu, Xianyu[1];Hua, Feilong[2];Pan, Xuemei[1];Feng, Ruicheng[1];Wen, Jianfeng[2]

机构：[1]Lanzhou Univ Technol, Sch Mech & Elect Engn, Lanzhou 730050, Gansu, Peoples R China;[2]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai 200237, Peoples R China

年份：2024

卷号：209

外文期刊名：INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING

收录：;EI(收录号：20241315828853);WOS:【SCI-EXPANDED(收录号:WOS:001290475000001)】；

基金：The supports from the Natural Science Foundation of Gansu Province (Grant No. 20JR10RA161) , the National Natural Science Foundation of China (Grant No. 51605212 & 52122506) , Lanzhou Talents Innovation and entrepreneurship Project (2021-RC-23) , the Project of Hongliu Excellent Youth Program of Lanzhou University of Technology (Grant No. 2020062001) and Lanzhou University of Technology Graduate Research Exploration Project.

语种：英文

外文关键词：Weibull distribution; Failure probabilities; Fatigue life prediction; P-S-N curve; Small sample

摘要：In practical engineering, there are many factors affecting the fatigue life of actual components, and a single Weibull distribution is insufficient to accurately describe the impact of various factors on fatigue life. In order to solve the above problems, 316L stainless steel is taken as the experimental object to study the effects of phase difference and stress levels on fatigue life based on the mixed Weibull distribution model. Firstly, the mixed Weibull distribution model is converted into the mixed extreme value distribution model, and used Euler's constant to calculate relevant parameters of extreme value distribution and Expectation-Maximization (EM) algorithm to determine the probability density function of the mixed Weibull distribution. Secondly, the probability density function is integrated to obtain the distribution function and the fatigue life under different failure probabilities is calculated. Finally, the influence of non-proportional additional reinforcement and stress amplitude on fatigue life is studied by taking them as hidden variables of mixed Weibull distribution, which is used to obtain P-S-N curves for various failure probabilities. Through the proposed method, the influence of different factors on fatigue life can be considered from the perspective of statistics, and the accuracy of fatigue life prediction can be promoted.