Neural networks modeling of strain energy density and Tsai-Wu index in laminated composites
Elías Ledesma-Orozco,
Julio C. Galvis-Chacón,
Alejandro E. Rodríguez-Sánchez
Abstract:In laminated composite materials design, optimization mainly targets the stacking sequence configuration, which is defined by the lamina thickness and fiber orientations within each layer. Recent studies emphasize the increasing role of Machine Learning in promoting innovative composite designs by facilitating the accurate modeling of essential properties such as strength and stiffness. This study introduces two metamodels that utilize feed-forward artificial neural networks, taking laminate thickness and fibe… Show more
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