Interpretable machine learning for predicting the remaining life of matrix microcracks in CFRP

Jiancheng Weng, Xuda Qin, Zhitong Zhou, Shipeng Li, Hao Li, Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, School of Physics and Mechanical and Electrical Engineering, Longyan University

Journal of Composite Materials

Published online on January 22, 2026

Abstract

Journal of Composite Materials, Ahead of Print.
Carbon fiber-reinforced polymer (CFRP) composites offer excellent axial mechanical properties but are prone to premature failure under transverse loading due to matrix microcracking. Accurate prediction of the remaining life of these microcracks is ...