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Machine learning-assisted fracture prediction: Integrating synthetic and experimental data for quasi-static notch failure analysis

Sheikh Aamir Farooq, Danah Alajaleen, Jafar Albinmousa

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…