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Enhancing predictive performance of artificial neural network modelling composite stiffness degradation with virtual samples

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Journal of Composite Materials

Published online on

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, ...