August 05, 2025 article Advances in machine learning for predicting fatigue behavior: from material properties to fatigue life and fatigue crack growth International Journal of Structural Integrity DOI: 10.1108/ijsi-12-2024-0209 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 21 References 3 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Automatic detection of fatigue crack paths using digital image correlation and convolutional neural networks 2021 Fatigue & Fracture of Engineering Materials & Structures article Engineering Fatigue and fracture mechanics Open access cited by 6 patents 67 citations Explainable machine learning for precise fatigue crack tip detection 2022 Scientific Reports article Engineering Fatigue and fracture mechanics Open access cited by 3 patents 44 citations Interpretable Machine Learning Method for Modelling Fatigue Short Crack Growth Behaviour 2024 Metals and Materials International article Engineering Fatigue and fracture mechanics 19 citations 3 results