A Novel Topology Optimization Approach using Conditional Deep Learning

14 Jan 2019Sharad RawatM. -H. Herman Shen

In this study, a novel topology optimization approach based on conditional Wasserstein generative adversarial networks (CWGAN) is developed to replicate the conventional topology optimization algorithms in an extremely computationally inexpensive way. CWGAN consists of a generator and a discriminator, both of which are deep convolutional neural networks (CNN)... (read more)

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