4.0 Article

Exploring the synergy of building massing and fa?ade design through evolutionary optimization

期刊

FRONTIERS OF ARCHITECTURAL RESEARCH
卷 11, 期 4, 页码 761-780

出版社

KEAI PUBLISHING LTD
DOI: 10.1016/j.foar.2022.02.002

关键词

Performance-based design; Building massing; Fa?ade; Daylighting; Solar irradiation; Discomfort glare; Design exploration; Early design stage; Design optimization; EvoMass

资金

  1. China Postdoctoral Science Foundation [2021M701664]
  2. National Natural Science Foundation of China [52178017]

向作者/读者索取更多资源

This study proposes a hybrid massing-facade integrated design generation and optimization workflow to improve performance improvement. Two case studies and a comparison study demonstrate the efficacy of the proposed workflow, which can produce designs with performance improvement potential and provide information for early-stage architectural design exploration.
In performance-based architectural design optimization, the design of building massings and facades is commonly separated, which weakens the effectiveness in performance improvement. In response, this study proposes a hybrid massing-facade integrated design generation and optimization workflow to integrate the two elements in an evolutionary design process. Compared with the existing approaches, the proposed workflow emphasizes the diver-sity of building design generation, with which various combinations of building massing forms and facade patterns can be systematically explored. Two case studies and a corresponding comparison study are presented to demonstrate the efficacy of the proposed workflow. Results show that the optimization can produce designs coupling the potential of building massings and facades in performance improvement. In addition, the optimization can provide information that supports early-stage architectural design exploration. Such information also enables the architect to understand the performance implications associated with the synergy of building massing and facade design.(c) 2022 Higher Education Press Limited Company. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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