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عنوان انگلیسی مقاله:
Building facade multi-objective optimization for daylight and aesthetical perception
ترجمه فارسی عنوان مقاله:
ساختمان بهینه سازی چند هدفه برای نور روز و درک زیبایی شناختی
Sciencedirect - Elsevier - Building and Environment, 156 (2019) 178-190: doi:10:1016/j:buildenv:2019:04:002
Yun Kyu Yi
In recent years, especially in a building envelope, parametric design provides a method of continuous deformation
of façade patterns until the architect finds interesting patterns or shapes that satisfy the desired
aesthetics. However, these new design methods pose a question regarding the reasoning behind them, and
sometimes the aesthetic interest dominates the true function of the envelope system and contrasts it. In opposite,
too much engineering in the envelope system creates a problem with the identity of the façade.
The purpose of this paper is to propose a method to integrate two different performances, quality and
quantity, into one measurable goal. Using an existing buildings facade as a case study, the buildings facade was
analyzed to understand the architects logic behind its design. Then the found logic was programmed into the
tool that allowed for the morphing of the façade into a different configuration, which can be evaluated by both
quality and quantity performance to find the better solution to satisfy both goals.
For the purpose of this paper, multi-objective evolutionary algorithms were considered to find solutions. For a
quantitative objective, the indoor daylight availability was used as a measurement to allow for the best daylighting
performance envelope system. For a qualitative objective, a matrix was developed to find the users
design preference and used it to evaluate and find a quantitative performance goal. The proposed method
provides building facades that satisfy daylighting performance, and most importantly, it allows users to match
their aesthetic sensibilities with the design preference.
Keywords: Multi-objective optimization (MOO) | Expert system | Aesthetical perception | Daylight | Building performance | Parametric design