Artificial neural networks (ANNs) are efficient surrogate models; however, their application in structural engineering is often limited by the high computational cost required to generate sufficiently large training datasets from nonlinear FE analyses. This paper proposes a framework that combines transfer learning, an...
Adriano Silva Carvalho, F. Ljubinković, T. Bogdan et al.· ce/papers· 0 citations
The transition toward carbon‐neutral construction requires structural solutions that integrate sustainability, recyclability, and performance. Steel‐timber composite (STC) systems, which combine the strength and recyclability of steel with the renewability and workability of timber, present a viable alternative to conv...
Teodora Bogdan, Lisa Anne Syndikus, Christoph Odenbreit· ce/papers· 0 citations
Steel–timber composite structures offer a sustainable alternative to conventional beams by combining the high strength of steel with the circularity and workability of timber. When paired with demountable shear connectors, the system activates composite action and enables full reusability of each component, further enh...
Lisa Anne Syndikus, Teodora Bogdan, Christoph Odenbreit· ce/papers· 0 citations
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