Geometrically-driven generation of mechanical designs through deep convolutional GANs

DOI10.1080/0305215X.2022.2144847MaRDI QIDQ6495518

Unnamed Author, Dimitri Bettebghor, Unnamed Author, Unnamed Author, Unnamed Author

Publication date: 30 April 2024

Published in: Engineering Optimization (Search for Journal in Brave)

Mathematics Subject Classification ID

Operations research, mathematical programming (90-XX)

Cites Work

• Unnamed Item
• A density gradient approach to topology optimization under design-dependent boundary loading
• Topology optimization with discrete geometric components made of composite materials
• Shape and topology optimization
• Neural networks for topology optimization
• Topology optimization of self-supporting structures with polygon features for additive manufacturing
• A deep learning energy method for hyperelasticity and viscoelasticity
• Simultaneous material and topology optimization of composite laminates
• Topological optimization of continuum structures for additive manufacturing considering thin feature and support structure constraints

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