Predicting peak stresses in microstructured materials using convolutional encoder–decoder learning
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DOI: 10.1177/10812865211055504
Abstract: This work presents a machine-learning approach to predict peak-stress clusters in heterogeneous polycrystalline materials. Prior work on using machine learning in the context of mechanics has largely focused on predicting the effective response and overall… read more here.
Keywords: stress; peak stress; stress clusters; encoder decoder ... See more keywords