| id |
caadria2024_421 |
| authors |
Hu, Xinyi, Chen, Xiang, Zhu, Yue, Li, Ce and Guo, Zhe |
| year |
2024 |
| title |
An Adaptive Structure Prototype Design Method Based on Discrete Modular Assembly System |
| doi |
https://doi.org/10.52842/conf.caadria.2024.3.281
|
| source |
Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 3, pp. 281–290 |
| summary |
This paper contributes to the research in the field of generative computational design of discrete assemblies and their implementations in constructing spatial structures in architecture. In the article, by proposing a standard tubular shape as the base unit, and then accomplishing type constraints, quantity integration, and cost control, we achieve an effective generation, optimization, and assembly strategy for discrete structures. Based on the principles of performance-oriented architecture and cost control, we utilize computational geometric generation and optimal design with simulated annealing and genetic algorithms to achieve a globally optimal solution by constraining the spatial voxel control mesh, which produces a discrete modular assembly system that not only has structural stability but also creates complex spatial forms. The method has the potential to optimize the digital generation and construction process, control implementation costs, and extend engineering applications. |
| keywords |
Computational Generative Design, Discrete Structures, Genetic Algorithm, Modular Construction |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (1,499,688 bytes) |
| references |
Content-type: text/plain
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 Discrete orthogonal structures
, Applied Geometry, TU Wien, Vienna, Austria; College of Civil Engineering, Tongji University, Shanghai, PR China; Visual Computing Center, KAUST, Thuwal, Saudi Arabia. Article history: Received 18 May 2023, Accepted 30 May 2023, Available online 8 June 2023
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| last changed |
2024/11/17 22:05 |
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