Multi-Parameter Fatigue Life Prediction Model Considering Fatigue Limit and Average Stress Effect

In the prediction of fatigue life, traditional single stress amplitude models frequently fail to sufficiently account for multiple influencing factors under complex loading conditions, especially the effects of fatigue limits and mean stress. To enhance the accuracy of fatigue life prediction, this study introduces an improved multi-parameter fatigue life prediction model. Building upon the classical stress-life (S-N) relationship, the proposed model integrates the effects of fatigue limits, stress amplitude, and mean stress. To validate the efficacy of the proposed model, experimental data from six types of alloys and steels were employed. The results demonstrate that the proposed model achieves high prediction accuracy under varying temperature and stress ratio conditions. Compared to traditional SWT and Lv models, the proposed model more effectively fits diverse types of fatigue experimental data, thereby significantly enhancing the accuracy of fatigue life prediction.

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Publication Details

Journal
International Journal of Structural Stability and Dynamics
Published
2025-08-09
DOI
https://doi.org/10.1142/s0219455426504183
Citations
1
Primary Topic
Fatigue and fracture mechanics
Type
article
Field-Weighted Citation Impact
0.86

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Multi-Parameter Fatigue Life Prediction Model Considering Fatigue Limit and Average Stress Effect

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International Journal of Structural Stability and Dynamics
Fatigue and fracture mechanics
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article

Multi-Parameter Fatigue Life Prediction Model Considering Fatigue Limit and Average Stress Effect

Ximing Zhang, Kai Xu, Chao Zhang, Hongzhi Fan, Wenyang Zhang, Mingyu Sun
article en
1 citations

Abstract

In the prediction of fatigue life, traditional single stress amplitude models frequently fail to sufficiently account for multiple influencing factors under complex loading conditions, especially the effects of fatigue limits and mean stress. To enhance the accuracy of fatigue life prediction, this study introduces an improved multi-parameter fatigue life prediction model. Building upon the classical stress-life (S-N) relationship, the proposed model integrates the effects of fatigue limits, stress amplitude, and mean stress. To validate the efficacy of the proposed model, experimental data from six types of alloys and steels were employed. The results demonstrate that the proposed model achieves high prediction accuracy under varying temperature and stress ratio conditions. Compared to traditional SWT and Lv models, the proposed model more effectively fits diverse types of fatigue experimental data, thereby significantly enhancing the accuracy of fatigue life prediction.

International Journal of Structural Stability and Dynamics
Inner Mongolia University of Science and Technology (CN)
Innovative Research Group Project of the National Natural Science Foundation of China, Special Project of Central Government for Local Science and Technology Development of Hubei Province
Climate action
Openalex Percentile: Top 26%
Fatigue and fracture mechanics
0.86
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