Exploring the impact of phase-shifted loading conditions on fatigue life of S355J2 mild steel with different machine learning approaches
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00170-024-13389-y.pdf
Reference31 articles.
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4. Morishita T, Itoh T, Bao ZL (2015) Fatigue Life of Type 316 Stainless steel under wide ranged multiaxial loading. Proc Eng 130:1730–1741. https://doi.org/10.1016/j.proeng.2015.12.198
5. Gao J, Heng F, Yuan Y, Liu Y (2024) A novel machine learning method for multiaxial fatigue life prediction: improved adaptive neuro-fuzzy inference system. Int J Fatigue 178:142–1123. https://doi.org/10.1016/j.ijfatigue.2023.108007
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