A novel approach based on the elastoplastic fatigue damage and machine learning models for life prediction of aerospace alloy parts fabricated by additive manufacturing

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Notch fatigue and crack growth resistance of Ti-6Al-4V ELI additively manufactured via selective laser melting: A critical distance approach to defect sensitivity

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Elucidating the Relations Between Monotonic and Fatigue Properties of Laser Powder Bed Fusion Stainless Steel 316L

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A local stress-strain approach for fatigue damage prediction of subsea wellhead system based on semi-decoupled model

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Fatigue life assessment of welded joints by two local stress approaches: The notch stress approach and the peak stress method

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Continuous fatigue damage prediction of a rubber fibre composite structure using multiaxial energy‐based approach

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Metal additive manufacturing in aerospace: A review

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Additively manufactured materials and structures: A state-of-the-art review on their mechanical characteristics and energy absorption

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Machine learning-based fatigue life prediction of metal materials: Perspectives of physics-informed and data-driven hybrid methods

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Fatigue modeling using neural networks: A comprehensive review

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A novel method of multiaxial fatigue life prediction based on deep learning

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Fatigue-life prediction of additively manufactured metals by continuous damage mechanics (CDM)-informed machine learning with sensitive features

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Data-driven fatigue life prediction in additive manufactured titanium alloy: A damage mechanics based machine learning framework

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Recent advances in machine learning-assisted fatigue life prediction of additive manufactured metallic materials: A review

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