Fatigue and Fracture of non metallic materials
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Vol. 20, No. 75 (2026) pp. 362-372
Machine learning-assisted fracture prediction: Integrating synthetic and experimental data for quasi-static notch failure analysis
Machine learning has emerged as a powerful tool in various scientific fields for developing data-driven models, reducing the need for extensive physical testing. In this study, the fracture load was first predicted using Theory of Critical…
