Deep artificial neural network-powered phase field model for predicting damage characteristic in brittle composite under varying configurations
This work introduces a novel artificial neural network (ANN)-powered phase field model, offering rapid and precise predictions of fracture propagation in brittle materials. To improve the capabilities of the ANN model, we incorporate a loop of conditions into its core to regulate the absolute percen...
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Veröffentlicht in: | Machine learning: science and technology 2024-06, Vol.5 (2), p.25062 |
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Sprache: | eng |
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