CNN-based deep learning framework for damage detection and residual load prediction of glass fiber composite laminate
Journal of Composite Materials
Published online on January 28, 2026
Abstract
Journal of Composite Materials, Ahead of Print.
Recent advances in convolutional neural networks (CNNs) have significantly enhanced non-destructive investigation (NDI) techniques by enabling automated feature extraction and damage assessment from inspection data. Despite these advances, key challenges ...
Recent advances in convolutional neural networks (CNNs) have significantly enhanced non-destructive investigation (NDI) techniques by enabling automated feature extraction and damage assessment from inspection data. Despite these advances, key challenges ...