Enhancing predictive performance of artificial neural network modelling composite stiffness degradation with virtual samples
Journal of Composite Materials
Published online on May 08, 2026
Abstract
Journal of Composite Materials, Ahead of Print.
This paper proposes a methodology for generating virtual samples of stiffness degradation of composite laminates to facilitate the training of artificial neural network (ANN)-based predictive models. Considering the impact of matrix cracks, delamination, ...
This paper proposes a methodology for generating virtual samples of stiffness degradation of composite laminates to facilitate the training of artificial neural network (ANN)-based predictive models. Considering the impact of matrix cracks, delamination, ...