Design Space Exploration and Explanation via Conditional Variational Autoencoders in Meta-Model-Based Conceptual Design of Pedestrian Bridges

Today, engineers rely on conventional iterative (often manual) techniques for conceptual design. Emerging parametric models facilitate design space exploration based on quantifiable performance metrics, yet remain time-consuming and computationally expensive, leaving room for improvement. This paper...

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Vydané v:	Automation in construction Ročník 163; s. 105411
Hlavní autori:	Balmer, Vera, Kuhn, Sophia V., Bischof, Rafael, Salamanca, Luis, Kaufmann, Walter, Perez-Cruz, Fernando, Kraus, Michael A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.07.2024
Predmet:	Computational design Conditional Variational Autoencoder Design space exploration Explainable AI Generative AI Pedestrian bridge Generative AI Explainable AI Pedestrian bridge Conditional Variational Autoencoder Design space exploration Computational design
ISSN:	0926-5805, 1872-7891
On-line prístup:	Získať plný text
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