| id |
artificial_intellicence2019_147 |
| authors |
Ding Wen Bao, Xin Yan, Roland Snooks, and Yi Min Xie |
| year |
2020 |
| title |
Bioinspired Generative Architectural Design Form-Finding and Advanced Robotic Fabrication Based on Structural Performance |
| source |
Architectural Intelligence Selected Papers from the 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2024) |
| doi |
https://doi.org/https://doi.org/10.1007/978-981-15-6568-7_10
|
| summary |
Due to the potential to generate forms with high efficiency and elegant geometry, topology optimization is widely used in architectural and structural designs. This paper presents a working flow of form-finding and robotic fabrication based BESO (Bi-directional Evolutionary Structure Optimization) optimization method. In case there are some other functional requirements or condition limitations, some useful modifications are also implemented in the process. With this kind of working flow, it is convenient to foreknow or control the structural optimization direction before the optimization process. Furthermore, some fabrication details of the optimized model will be discussed because there are also many notable technical points between computational optimization and robotic fabrication. |
| series |
Architectural Intelligence |
| email |
mike.xie@rmit.edu.au |
| full text |
 file.pdf (2,123,977 bytes) |
| references |
Content-type: text/plain
|
| last changed |
2022/09/29 07:28 |
