Topology optimization via machine learning and deep learning: a review

• Published in: Journal of computational design and engineering Vol. 10; no. 4; pp. 1736 - 1766
• Main Authors: Shin, Seungyeon, Shin, Dongju, Kang, Namwoo
• Format: Journal Article
• Language: English
• Published: Oxford Oxford University Press 01.08.2023; 한국CDE학회
• Subjects: Artificial intelligence; Boundary conditions; Costs; Deep learning; Design optimization; Machine learning; Methods; Topology optimization; 기계공학

Abstract Topology optimization (TO) is a method of deriving an optimal design that satisfies a given load and boundary conditions within a design domain. This method enables effective design without initial design, but has been limited in use due to high computational costs. At the same time, machin...