Exploring the synergy of building massing and façade design through evolutionary optimization

Likai Wang , Han Zhang , Xuehan Liu , Guohua Ji

Front. Archit. Res. ›› 2022, Vol. 11 ›› Issue (4) : 761 -780.

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Front. Archit. Res. ›› 2022, Vol. 11 ›› Issue (4) : 761 -780. DOI: 10.1016/j.foar.2022.02.002
RESEARCH ARTICLE
RESEARCH ARTICLE

Exploring the synergy of building massing and façade design through evolutionary optimization

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Abstract

In performance-based architectural design optimization, the design of building massings and façades is commonly separated, which weakens the effectiveness in performance improvement. In response, this study proposes a hybrid massing-façade 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 diversity of building design generation, with which various combinations of building massing forms and façade 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 façades 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 façade design.

Keywords

Performance-based design / Building massing / Façade / Daylighting / Solar irradiation / Discomfort glare / Design exploration / Early design stage / Design optimization / EvoMass

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Likai Wang, Han Zhang, Xuehan Liu, Guohua Ji. Exploring the synergy of building massing and façade design through evolutionary optimization. Front. Archit. Res., 2022, 11(4): 761-780 DOI:10.1016/j.foar.2022.02.002

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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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