Designing building structures presents various challenges, including inefficient design processes, limited data reuse, and the underutilization of previous design experience …
S Oh, Y Jung, S Kim, I Lee… - Journal of …, 2019 - asmedigitalcollection.asme.org
Deep learning has recently been applied to various research areas of design optimization. This study presents the need and effectiveness of adopting deep learning for generative …
W Liao, X Lu, Y Huang, Z Zheng, Y Lin - Automation in Construction, 2021 - Elsevier
Artificial intelligence is reshaping building design processes to be smarter and automated. Considering the increasingly wide application of shear wall systems in high-rise buildings …
Nowadays, debates addressing climate change, fossil fuels depletion and energy security highlight the need for a more sustainable built environment in order to reduce energy …
A generative CAD based design exploration method is proposed. It is suitable for complex multi-criteria design problems where important performance criteria are uncomputable. The …
S Yoo, S Lee, S Kim, KH Hwang, JH Park… - Structural and …, 2021 - Springer
Engineering design research integrating artificial intelligence (AI) into computer-aided design (CAD) and computer-aided engineering (CAE) is actively being conducted. This …
F Buonamici, M Carfagni, R Furferi, Y Volpe… - … -Aided Design and …, 2020 - cad-journal.net
Generative design tools have recently become an interesting solution to tackle design problems in several technical fields. This article takes into consideration the specific field of …
The integration of generative design (GD) and building information modelling (BIM), as a new technology consolidation, can facilitate the constructability of GD's automatic design …
NC Brown, V Jusiega, CT Mueller - Automation in Construction, 2020 - Elsevier
Designers in architecture and engineering are increasingly employing parametric models linked to performance simulations to assist in early building design decisions. This context …