| id |
ecaade2023_366 |
| authors |
Soman, Aditya |
| year |
2023 |
| title |
TOPOGEN: A generative design methodology for Building engineering |
| source |
Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 519–528 |
| doi |
https://doi.org/10.52842/conf.ecaade.2023.2.519
|
| summary |
Topogen presents a novel methodology towards generative building engineering using the topological voxelization method to develop and analyze structural design options rapidly. In particular, the methodology showcases an automated, streamlined workflow for (1.) Extracting spatial data from input architectural models and embedding it in a voxelated version of the model (2.) Developing structural design options consisting of a 1D frame and 2D shell elements generatively using a rule-based system in the discrete version of the model. (3.) Developing accurate structural performance results for the input models by automatically performing a finite element analysis on the generated structural design options. The showcased approach opens up unexplored possibilities in generative design by reconsidering an existing concept for a different use case. |
| keywords |
Topological voxelization, Generative Design, Generative Engineering, Rule based design, analytical modelling, Finite element analysis |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (1,779,680 bytes) |
| references |
Content-type: text/plain
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| last changed |
2023/12/10 10:49 |
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