 | | Mechanics of Solids
A Journal of Russian Academy of Sciences | | Founded
in January 1966
Issued 6 times a year
Print ISSN 0025-6544
Online ISSN 1934-7936 |
Archive of Issues
| Total articles in the database: | | 13362 |
| In Russian (Èçâ. ÐÀÍ. ÌÒÒ): | | 8178
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| In English (Mech. Solids): | | 5184 |
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| Zexiao Han, Junting Zhang, Yuanji Xu, Dongxia Kou, Chongbo Li, and Kaihui Ma, "An Enhanced Manson-Halford Model Incorporating Load Interaction and Strength Degradation," Mech. Solids. 60 (5), 4103-4122 (2025) |
| Year |
2025 |
Volume |
60 |
Number |
5 |
Pages |
4103-4122 |
| DOI |
10.1134/S0025654425602666 |
| Title |
An Enhanced Manson-Halford Model Incorporating Load Interaction and Strength Degradation |
| Author(s) |
Zexiao Han (School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, 030024 China)
Junting Zhang (School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, 030024 China, zjtwyz@163.com)
Yuanji Xu (School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, 030024 China)
Dongxia Kou (School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, 030024 China)
Chongbo Li (School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, 030024 China)
Kaihui Ma (School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, 030024 China) |
| Abstract |
To mitigate the limitations associated with strength degradation in fatigue life prediction
methodologies, a refined nonlinear cumulative damage model is proposed. This model constitutes an
enhancement of the foundational Manson-Halford (M-H) theory by incorporating load interaction
coefficients. These coefficients explicitly account for the complex interactions between successive
loading cycles, a critical factor influencing damage evolution under variable amplitude loading. Validated under two-level loading conditions, the proposed model achieves superior predictive accuracy
compared to the original M-H formulation: 80% of its predictions exhibit relative errors below 30%,
significantly improving upon the M-H model’s 68% accuracy. The proposed model demonstrates
greater conservatism, with 90% of predictions falling within a 1.5x lifetime factor and 98% within a 2x
lifetime factor. This conservatism, arising from explicit consideration of load interactions and strength
degradation, enhances design safety by mitigating premature failure risk while maintaining balanced
error distributions to avoid excessive overdesign. Under multi-level loading spectra, the proposed
model consistently yields lower relative prediction errors than its M-H model. Critically, the model
maintains practical utility, requiring only standard fatigue test data for parameter determination and
introducing no additional fitting parameters. Consequently, this enhanced nonlinear cumulative damage model offers a viable and improved engineering tool for predicting the fatigue life of metallic (steel and aluminum alloys) components under variable loading histories. |
| Keywords |
Cumulative damage, Strength degradation, Multi-level loading, Life prediction, Loading effects |
| Received |
26 May 2025 | Revised |
15 July 2025 | Accepted |
18 July 2025 |
| Link to Fulltext |
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