Sep 2026· Journal of Mechanical Science and Technology· Vol 40, pp. 6399 - 6413· 0 citations· 41 references
TL;DR
The hybrid method proposed in this research provides new insights for the FLP of aviation Al alloys, and a parameter solving method combining physical model and machine learning is proposed.
This study examines the relationship between applied stress (σa [MPa]) and fatigue life (Nf) in 7075-T651 aluminum alloy using both physics-based and machine learning approaches. Fatigue tests were conducted under bending and torsional loading at multiple time stages, and the fatigue life was modeled on a log10(Nf) sca...
Kingsley Obinna Iwuji· Global Journal of Engineerin...· 0 citations
Existing fatigue assessment methods for high-strength steel welded joints commonly provide isolated life estimates and cannot directly convert residual-stress effects and prediction uncertainty into operation and maintenance decisions. To address this limitation, an integrated RS-SN-Stack-RDF-MDP framework is developed...
Chao-Jing Jiang· Research on Engineering Stru...· 0 citations
Fatigue assessment revealed that AA-7075 operates above its endurance limit, whereas 42CrMo4 alloy steel provides an infinite-life performance and is therefore recommended and the integration of quantum-inspired optimization and deep neural networks has demonstrated improved predictive accuracy compared with that of co...
P. Venkatesh, P. S. Rani· Babylonian Journal of Mechan...· 0 citations
This paper proposes a novel fatigue life prediction method integrating adaptive exponential interpolation data enhancement, an improved nonlinear damage model, and machine learning that enables high‐precision small‐sample fatigue assessment for low‐cost, high‐reliability structural design.
Min-Qing Zhao, Chi-Yu Zhang, Hongxi Wang et al.· Fatigue & Fracture of En...· 0 citations
This study investigates the wear performance of carburized EN39B alloy steel, a very rarely explored aerospace gear material, using a hybrid Machine Learning-Particle Swarm Optimization (PSO) approach for predictive modelling and process optimization. An L16 orthogonal array-based experimental design was adopted, and...
Rakesh Sudarsi, Jack J. Kenned, K. Sankaranarayanasamy et al.· International Journal of Com...· 0 citations
Traditional physical models and purely data-driven approaches often face significant challenges in predicting multiaxial fatigue life of titanium alloys due to small sample sizes and the complex nonproportional hardening effects under various loading paths. To overcome these challenges, this study proposes a physics-da...
Liuxiangzi Yang, Feng Wang, Peng Zhang et al.· Proceedings of the Instituti...· 0 citations
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