Fatigue life prediction method based on data fusion

To address the challenges posed by the time-consuming nature of fatigue test and the scattered nature of test data,it is evident that P-S-N curves derived from small samples with high survival rates lack sufficient accuracy,leading to unreliable predictions of fatigue life. The data fusion method ba...

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Veröffentlicht in:Hang kong cai liao xue bao 2024-12, Vol.44 (6), p.107-115
Hauptverfasser: ZHANG Xu, YAO Jianyao, LIU Xuyang, WANG Changyin, GAO Youzhi
Format: Artikel
Sprache:chi
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Zusammenfassung:To address the challenges posed by the time-consuming nature of fatigue test and the scattered nature of test data,it is evident that P-S-N curves derived from small samples with high survival rates lack sufficient accuracy,leading to unreliable predictions of fatigue life. The data fusion method based on the performance-life probability mapping principle is used to fuse small sample fatigue data of different stress levels, and the feasibility of obtaining accurate P-S-N curves by this method is analyzed and evaluated. The results demonstrated that P-S-N curves obtained post-fusion are closer to the P-S-N curve derived from larger sample datasets. This approach effectively enhances both reliability and accuracy in predicting fatigue life while simultaneously reducing the amount of required fatigue tests. A comparative evaluation is conducted on the predictive capabilities for fatigue life before and after fusion using different models; notably,it is found that the three-parameter power function model demonstr
ISSN:1005-5053
DOI:10.11868/j.issn.1005-5053.2023.000017