id |
ecaade2021_029 |
authors |
Shen, Yuhui, Wang, Likai, Zhang, Ran, Tong, Ziyu and Ji, Guohua |
year |
2021 |
title |
EvoMass + GH_Wind - An agile wind-driven building massing design optimization framework |
source |
Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 477-486 |
doi |
https://doi.org/10.52842/conf.ecaade.2021.1.477
|
summary |
The complex interactive relationship between wind flow and building design poses a great challenge in architectural design. Recent research has been conducted to combine Computational Fluid Dynamics (CFD) and computational design optimization to solve the problem. However, due to the time-consuming simulation process and the assertion-oriented computational optimization application, such CFD-based design optimization frameworks are not easy to integrate with architects' early-stage design exploration. To address these issues, this paper proposes an agile wind-driven building massing design optimization framework incorporating EvoMass and GH_Wind in the Rhino-Grasshopper environment. EvoMass is an integrated evolutionary building massing design tool, and GH_Wind is a simulation tool embedded with a Fast Fluid Dynamics (FFD) solver. Combining these two tools allows for fast wind-driven design optimization, thereby enabling architects to apply it to early-stage design exploration. To demonstrate its efficacy, a case study is presented to illustrate how the proposed design optimization framework can provide architects with useful design information and, thereby, facilitate more performance-informed design for early-stage architectural design. |
keywords |
building massing design; performance-based design; design exploration; wind-driven design; Fast Fluid Dynamics; design optimization |
series |
eCAADe |
email |
wang.likai@outlook.com |
full text |
file.pdf (13,283,062 bytes) |
references |
Content-type: text/plain
|
Chronis, A, Turner, A and Tsigkari, M (2011)
Generative Fluid Dynamics: Integration of Fast Fluid Dynamics and Genetic Algorithms for wind loading optimization of a free form surface
, Proceedings of the 2011 Symposium on Simulation for Architecture and Urban Design, pp. 29-36
|
|
|
|
Kaboová, L., Katunský, D. and Kmet, S. (2020)
Wind-based parametric design in the changing climate
, Applied Sciences (Switzerland), 10(23), p. 1-18
|
|
|
|
Kormaníková, L, Achten, H, Kopřiva, M and Kmet, S (2018)
Parametric wind design
, Frontiers of Architectural Research, 7(3), pp. 383-394
|
|
|
|
Nault, E, Waibel, C, Carmeliet, J and Andersen, M (2018)
Development and test application of the UrbanSOLve decision-support prototype for early-stage neighborhood design
, Building and Environment, 137, pp. 58-72
|
|
|
|
Negendahl, K. and Nielsen, T. R. (2015)
Building energy optimization in the early design stages: A simplified method
, Energy and Buildings, 105, p. 88-99
|
|
|
|
ostergard, T, Jensen, RL and Maagaard, SE (2016)
Building simulations supporting decision making in early design--A review
, Renewable and Sustainable Energy Reviews, 61, pp. 187-201
|
|
|
|
Waibel, C., Bystricky, L., Kubilay, A., Evins, R. and Carmeliet, J. (2017)
Validation of Grasshopper-based Fast Fluid Dynamics for Air Flow around Buildings in Early Design Stage
, Building Simulation 2017, August 7-9, San Francisco, California, USA, p. 1-10
|
|
|
|
Wang, L, Chen, KW, Janssen, P and Ji, G (2020)
ENABLING OPTIMISATION-BASED EXPLORATION FOR BUILDING MASSING DESIGN - A Coding-free Evolutionary Building Massing Design Toolkit in Rhino-Grasshopper
, RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference, Bankok, Thailand, pp. 255-264
|
|
|
|
Wang, L, Chen, KW, Janssen, P and Ji, G (2020)
ALGORITHMIC GENERATION OF ARCHITECTURAL MASSING MODELS FOR BUILDING DESIGN OPTIMISATION Parametric Modelling Using Subtractive and Additive Form Generation Principles
, RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference, Bangkok, Thailand, p. 385-394
|
|
|
|
Wang, L, Janssen, P and Ji, G (2020)
SSIEA: a hybrid evolutionary algorithm for supporting conceptual architectural design
, Artificial intelligence for engineering design analysis and manufacturing, 34, pp. 1-19
|
|
|
|
Wang, L, Janssen, P, Chen, KW, Tong, Z and Ji, G (2019)
Subtractive building massing for performance-based architectural design exploration: A case study of daylighting optimization
, Sustainability, 11(24), p. 6965
|
|
|
|
Wang, L, Tan, Z and Ji, G (2016)
TOWARD THE WIND-RELATED BUILDING PERFORMATIVE DESIGN A wind-related building performance optimization design system integrating Fluent and Rhinoceros based on iSIGHT
, Proceedings of CAADRIA 2016, 1, pp. 109-218,11
|
|
|
|
Yi, Y. K. and Malkawi, A. M (2012)
Site-specific optimal energy form generation based on hierarchical geometry relation
, Automation in Construction, 26, p. 77-91
|
|
|
|
Zhang, H, Wang, L and Ji, G (2021)
The Synergy of building massing and facade - An Evo-Devo approach for performance-based design optimization combining facade design with building massing
, Proceedings of the 26th CAADRIA Conference - Volume 1, Hong Kong, pp. 451-460
|
|
|
|
Zhang, R, Waibel, C and Wortmann, T (2020)
Aerodynamic Shape Optimization for High-Rise Conceptual Design-Integrating and validating parametric design,(fast) fluid dynamics, structural analysis and optimization
, Proceedings of the 38th eCAADe Conference, 1, pp. pp. 37-45
|
|
|
|
last changed |
2022/06/07 07:56 |
|