Unit Module-Based Convergence Acceleration for Topology Optimization Using the Spatiotemporal Deep Neural Network

This study proposes a unit module-based acceleration method for 2-D topology optimization. For the purpose, the first-stage topology optimization is performed until the predefined iteration. After a whole design domain is divided into a set of unit modules, information on the spatiotemporal characte...

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Auteurs principaux: Younghwan Joo, Yonggyun Yu, In Gwun Jang
Format: article
Langue:EN
Publié: IEEE 2021
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Accès en ligne:https://doaj.org/article/a7a0e20009334b0b86edc30479c5fb6e
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