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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)
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