Physics-consistent deep learning for structural topology optimization
Jaydeep Rade,
Aditya Balu,
Ethan Herron
et al.
Abstract:Topology optimization has emerged as a popular approach to refine a component's design and increasing its performance. However, current state-of-the-art topology optimization frameworks are computein-tensive, mainly due to multiple finite element analysis iterations required to evaluate the component's performance during the optimization process. Recently, machine learning-based topology optimization methods have been explored by researchers to alleviate this issue. However, previous approaches have mainly bee… Show more
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