Page 75 - IJAMD-2-1

International Journal of AI for
Materials and Design
Fatigue life prediction via contrastive learning

principles, thereby improving model interpretability. doi: 10.1016/j.ijmecsci.2019.105190
In addition, extending this framework to materials 4. Liang Q, Peng C, Li X. A multi-state Semi-Markov model
with heterogeneous microstructures can help evaluate for nuclear power plants piping systems subject to fatigue
its performance under different fatigue mechanisms damage and random shocks under dynamic environments.
and further validate its generalization capability. Int J Fatigue. 2023;168:107448.

Acknowledgments doi: 10.1016/j.ijfatigue.2022.107448
5. Yu Z, Sun X, Xing R, Chen X. Unified prediction of
None. uniaxial ratcheting deformation at elevated temperatures
Funding with physics-informed multimodal network. Int J Plast.
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The authors gratefully acknowledge financial support for doi: 10.1016/j.ijplas.2025.104275
this work from the National Natural Science Foundation
of China (No. 12302098). 6. Maniar Y, Konstantin G, Sharma A, et al. Solder joint lifetime
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Conflict of interest 2020;72(2):898-905.
doi: 10.1007/s11837-019-03947-1
The authors declared that they have no known competing
financial interests or personal relationships that could have 7. Wijker JJ. Spacecraft Structures. Berlin: Springer Science &
influenced the work reported in this paper. Business Media; 2008.
8. Min KD, Lee BS, Kim SJ. Effects of oxide on fatigue
Author contributions crack growth behaviour of type 347 stainless steel in
Conceptualization: Xingyue Sun PWR water conditions. Fatigue Fract Eng Mater Struct.
2015;38(8):960-969.
Formal analysis: Ziyu Cui
Investigation: Xingyue Sun, Ziyu Cui doi: 10.1111/ffe.12290
Methodology: Xingyue Sun 9. Agency IAE. Assessment and Management of Ageing of Major
Writing – original draft: Ziyu Cui Nuclear Power Plant Components Important to Safety: PWR
Writing – review & editing: Xingyue Sun, Xu Chen Pressure, IAEA-TECDOC-1556, IAEA, Vienna; 2007.

Ethics approval and consent to participate 10. Guo C, Yu D, Sun X, et al. Fatigue failure mechanism and life
prediction of a cast duplex stainless steel after thermal aging.
Not applicable. Int J Fatigue. 2021;146:106161.

Consent for publication doi: 10.1016/j.ijfatigue.2021.106161
11. Kishore P, Mondal A, Trivedi A, et al. A microstructure
Not applicable. sensitive machine learning-based approach for predicting
Availability of data fatigue life of additively manufactured parts. Int J Fatigue.
2025;192:108724.
The data are available from the corresponding author upon doi: 10.1016/j.ijfatigue.2024.108724
reasonable request.
12. Yang J, Kang G, Liu Y, Kan Q. A novel method of multiaxial
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Volume 2 Issue 1 (2025) 69 doi: 10.36922/IJAMD025040004