A new surrogate model, Composite U-Net, is proposed to predict stress and damage in carbon fiber-reinforced composites (CFRC) during deformation.
Traditional FEM simulations struggle with computational efficiency, but existing data-driven surrogate models are limited in capturing the entire deformation history.
The Composite U-Net model accurately predicts stress and damage fields in CFRC while offering a significant speed-up compared to advanced FEM techniques.
The proposed model leverages the U-Net architecture to capture spatial features and integrate macro- and micro-scale phenomena.