New publication by Karin Yu
on Grammar-based generation of strut-and-tie models for designing reinforced concrete structures.
Check out our latest publication, led by Karin Yu, on Grammar-based generation of strut-and-tie models for designing reinforced concrete structures.
💡 The work, in collaboration with Prof. Dr. Michael Kraus (Technische Universität Darmstadt), Walter Kaufmann and myself, applies formal grammars to a design problem of practical relevance, namely strut-and-tie modelling of reinforced concrete structures.
The devised grammar, comprises a vocabulary which through a set of geometric rules, which account for engineering considerations, can generate strut and tie models that can support engineers in reinforcement design. The sequential application of these rules allows for human-computer interaction and aids engineers in decision-making, while being kept in the loop. This is a first step toward a generative approach tool that can be included within optimization and active learning regimes for structural co-design.
external page Link to open-access paper in Computers & Structures (Elsevier)
Karin is an ETH AI Center Fellow, co-supervised by Walter Kaufmann at kfmResearch – Chair of Structural Engineering – Concrete Structures and Bridge Design, ETH Zurich and myself at the Chair of Structural Mechanics and Monitoring at ETH Zurich