Prediction of crack length in thin-walled plates under different mode conditions using machine learning algorithms. Fracture and Structural Integrity, [S. l.], v. 20, n. 75, p. 55–75, 2025. DOI: 10.3221/IGF-ESIS.75.06. Disponível em: https://staging.fracturae.com/index.php/fis/article/view/5480. Acesso em: 16 oct. 2026.