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This is a Quantitative Study study.

September 20, 2025Open Access

DeepONet for the Prediction of Failure Response of a Two-Dimensional Fibre-Reinforced Composite Plate

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Machine learning shows improved prediction of failure in two-dimensional fibre-reinforced composites, suggesting better modeling techniques.

DeepONet accurately predicts the failure response of composite structures, showing superior performance over traditional models.
The predictive accuracy increases when tested on unseen data, with significant improvements noted compared to artificial neural networks.
A dataset for two-dimensional fibre-reinforced composites was generated through parametric non-linear finite element simulations.
DeepONet offers an effective framework for predicting structural responses in complex mechanics applications.

Stavroulakis et al. (2025) studied this question.

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Machine learning shows improved prediction of failure in two-dimensional fibre-reinforced composites, suggesting better modeling techniques.