id |
caadria2024_482 |
authors |
Yan, Xin, Shu, Kun Di and Bao, Ding Wen |
year |
2024 |
title |
Architectural Topological Form-finding Integrating Solid and Fluid Structural Performances |
doi |
https://doi.org/10.52842/conf.caadria.2024.1.293
|
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 1, pp. 293–302 |
summary |
With the recent developments of digital architecture techniques, performance-based optimisation has been an essential topic in architecture design. Using Finite Element Analysis (FEA) and structural topology optimisation algorithms, designers can easily generate architectural forms with high mechanical performances and unique elegant shapes. Comfortable and pleasant architectural microenvironments can also be designed with Computational Fluid Dynamics (CFD) techniques. However, the architectural form-finding method integrating the above two aspects remains a current research hotspot with room for further exploration. This paper presents an innovative Fluid-Structure-Interaction (FSI) topological optimisation workflow for optimising architectural forms based on both inner solid and surrounding fluid mechanics. This framework consists of three basic parts: (1) fluid-structure interaction (FSI) analysis of buildings and their surroundings, (2) automatic modelling of building forms & surrounding environments, and (3) architectural evolutions referred to gradient-based theory. The research aims to construct an innovative architectural morphological topology optimisation algorithm based on the integration of solid and fluid structural performances. The method also shares the potential to coordinate the diverse architectural physical requirements in the form-finding process for complex building contexts, which holds significant practical potential in architectural and urban design. |
keywords |
Topology Optimisation, Solid Structural Performance, Fluid Structural Performance, Fluid-structure Interaction, Form-finding |
series |
CAADRIA |
email |
nic.bao@rmit.edu.au |
full text |
file.pdf (3,361,048 bytes) |
references |
Content-type: text/plain
|
Bao, D. W., Yan, X., & Xie, Y. M. (2022)
Fabricating topologically optimised tree-like pavilions using large-scale robotic 3D printing techniques
, Journal of the International Association for Shell and Spatial Structures, 63(2), 122-131
|
|
|
|
Bernardini, F., Mittleman, J., Rushmeier, H., Silva, C., & Taubin, G. (1999)
The ball-pivoting algorithm for surface reconstruction
, IEEE transactions on visualization and computer graphics, 5(4), 349-359
|
|
|
|
Duan, C. B., Shen, S. Y., Bao, D. W., & Yan, X. (2023)
Innovative design solutions for contemporary Tou-Kung based on topological optimisation
, Architectural Intelligence, 2(1), 10
|
|
|
|
Edelsbrunner, H., & Mücke, E. P. (1994)
Three-dimensional alpha shapes
, ACM Transactions On Graphics (TOG), 13(1), 43-72
|
|
|
|
Feng, Z., Gu, P., Zheng, M., Yan, X., & Bao, D. (2022)
Environmental data-driven performance-based topological optimisation for morphology evolution of artificial Taihu stone
, Proceedings of the 2021 DigitalFUTURES: The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021) 3
|
|
|
|
Hang, S. (2015)
TetGen, a Delaunay-based quality tetrahedral mesh generator
, ACM Trans. Math. Softw, 41(2), 11
|
|
|
|
Kazhdan, M., Bolitho, M., & Hoppe, H. (2006)
Poisson surface reconstruction
, Proceedings of the fourth Eurographics symposium on Geometry processing
|
|
|
|
Li, Y., & Xie, Y. M. (2021)
Evolutionary topology optimisation for structures made of multiple materials with different properties in tension and compression
, Composite Structures, 259, 113497
|
|
|
|
Lin, P. F. Y. Y. (2019)
Research on High-Rise Building Group Morphology Generative Design Method Based on Physical Wind Tunnel and Neural Network Algorithm
, Journal of Human Settlements in West China, 34(1), 22-30
|
|
|
|
Lin, Y., Yao, J., Zheng, J., & Yuan, P. F. (2018)
Environmental-performance morphology generation: Combining physical wind tunnel and dynamic building model
, AAG
|
|
|
|
Lorensen, W. E., & Cline, H. E. (1998)
Marching cubes: A high resolution 3D surface construction algorithm
, Seminal graphics: pioneering efforts that shaped the field (pp. 347-353)
|
|
|
|
Ma, J., Lu, H., Lee, T.-U., Liu, Y., Bao, D. W., & Xie, Y. M. (2023)
Topology optimisation of shell structures in architectural design
, Architectural Intelligence, 2(1), 22
|
|
|
|
Ohmori, H. (2011)
Computational Morphogenesis: Its Current State and Possibility for the Future
, International Journal of Space Structures, 26(3), 269-276
|
|
|
|
Sasaki, M., Ito, T., & Isozaki, A. (2007)
Morphogenesis of flux structure
, Aa Publications
|
|
|
|
Song, Y., & Yuan, P. F. (2021)
A Research On Building Cluster Morphology Formation Based On Wind Environmental Performance And Deep Reinforcement Learning
, eCAADe. Novi Sad, Serbia: Faculty of Technical Sciences, University of Novi Sad, 335-344
|
|
|
|
Tominaga, Y., & Shirzadi, M. (2021)
Wind tunnel measurement of three-dimensional turbulent flow structures around a building group: Impact of high-rise buildings on pedestrian wind environment
, Building and Environment, 206, 108389
|
|
|
|
Xie, Y. M. (2022)
Generalized topology optimisation for architectural design
, Architectural Intelligence, 1(1), 2
|
|
|
|
Yan, X., Bao, D. W., Cai, K., Zhou, Y. F., & Xie, Y. M. (2019)
A new form-finding method for shell structures based on BESO algorithm
, Proceedings of IASS Annual Symposia
|
|
|
|
Yan, X., Bao, D. W., Ren, C., & Xie, Y. M. (2023)
Constructing topologically optimised spatial structure using innovative mortise-and-tenon joints
, Proceedings of IASS Annual Symposia
|
|
|
|
Yan, X., Bao, D. W., Xiong, Y., Snooks, R., & Xie, Y. M. (2023)
Structural topology optimisation based on a multi-agent model
, Engineering Structures, 296, 116978
|
|
|
|
last changed |
2024/11/17 22:05 |
|