Topology optimization based on deep representation learning (DRL) for compliance and stress-constrained design

This paper proposed a new topology optimization method based on geometry deep learning. The density distribution in design domain is described by deep neural networks. Compared to traditional density-based method, using geometry deep learning method to describe the density distribution function can...

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