Prediction of elastic stresses in porous materials using fully convolutional networks
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DOI: 10.1016/j.scriptamat.2021.113805
Abstract: Abstract Machine learning (ML) models enable exploration of vast structural space faster than the traditional methods, such as finite element method (FEM). This makes ML models suitable for stochastic fracture problems in brittle porous materials.… read more here.
Keywords: prediction elastic; fully convolutional; convolutional networks; porous materials ... See more keywords