Deep learning for determining a near-optimal topological design without any iteration

13 Jan 2018Yonggyun YuTaeil HurJaeho JungIn Gwun Jang

In this study, we propose a novel deep learning-based method to predict an optimized structure for a given boundary condition and optimization setting without using any iterative scheme. For this purpose, first, using open-source topology optimization code, datasets of the optimized structures paired with the corresponding information on boundary conditions and optimization settings are generated at low (32 x 32) and high (128 x 128) resolutions... (read more)

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