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CNN-Based Surrogate for the Phase Field Damage Model: Generalization across Microstructure Parameters for Composite Materials
Publisher: American Society of Civil Engineers
Abstract: We investigate the generalization of a convolutional neural network (CNN)-based surrogate for the phase field model in predicting both damage and peak load under uniaxial tension, given the two-dimensional (2D) microstructure ...
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