A. Ismail

Prediction of tensile properties in fiber-reinforced composites by machine learning models

The results validate the feasibility of applying ML, particularly instance-based and ensemble learning models, to predict the tensile behavior of fiber-reinforced composites using a limited experimental dataset, thereby reducing reliance on destructive testing and accelerating the design of high-performance hybrid comp...