Microstructural damage-dependent residual strength prediction in fatigued composites through a data-driven Bayesian approach

International Journal of Fatigue 2026

View at publisher

Authors: Mritunjay Maharudrayya Hiremath, Nikhar Doshi, Timo Bernthaler, Pascal Anger, Sushil K. Mishra, Anirban Guha, Asim Tewari

DOI: 10.1016/j.ijfatigue.2026.109687

Cited by: 1

References: 36

Fields of Study & Subjects

Mechanical Behavior of Composites Fatigue and fracture mechanics Machine Learning in Materials Science

References 36