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CSME 2022/06
Volume 43 No.3
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229-238
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Prediction and Evaluation of Fatigue Strength via Mechanical Behavior of Materials
Xin-Tian Liua, Hai-Jie Wanga, Xiao-Bing Yanga and Jia-Feng Laib
aSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
bCollege of Petroleum and Chemical Engineering, Beibu Gulf University, Qinzhou, Guangxi 535011, China
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Abstract:
Besides stress, the fatigue failure of part is also affected by the fatigue strength of materials. Therefore, it is necessary to predict the fatigue strength of materials before analyzing fatigue life. Considering the factors with uncertainty that affect the fatigue strength, the modified factors of fatigue are determined, and the stochastic fatigue strength is predicted. Among them, the distribution type and parameters of roughness factor are analyzed by improving Bootstrap method, which provides a method to analyze small samples. Moreover, the S-N curve cluster that characterizes the fatigue property is obtained, which provides a basis for fatigue life prediction.
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Keywords: fatigue strength, mechanical behavior, low alloy steel, small samples
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*Corresponding author; e-mail:
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©
2022
CSME , ISSN 0257-9731
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