Generative Facade Elements Recommendation for Diyarbakır Traditional U Plan Type Residences

Authors

DOI:

https://doi.org/10.15320/ICONARP.2023.235

Keywords:

generative systems, genetic algorithms, shape grammar, traditional texture

Abstract

Genetic algorithm (GA) are based on the continuation of fitter ones’ lives considering the natural evolution. Data are coded as genes in the genetic algorithms. Optimal solutions can be achieved through the methods of crossing and mutation performed on these coded genes. Facade elements of the buildings with an architectural design in this study are independent of sustainability-related concerns, suggesting a great issue for the new buildings to be constructed in the traditional pattern. Accordingly, using the genetic algorithm method, proposals were presented for the new door and window typologies with genetic fitness for the architectural designing process of the buildings to be constructed in Suriçi Region, Diyarbakır, Turkey. Shape grammar, fractal and genetic algorithm, three generative designing systems, were used as the methods. Utilizing the genetic algorithm method, a field study was performed for the proposal of new door and window typologies with the fitness value. The field study was assessed through the plans and facade analyses regarding six Diyarbakır traditional houses with U plan type in Suriçi region of Diyarbakır. An identity card was created for the plan and facade data of the buildings and transferred to the table. Then, the door and window typologies of the exterior facade elements of each examined building were crossed within themselves with the GA method. As a result of the crossover, alternative joinery typologies with a total of 31 windows and 53 different door typologies with compatibility values were produced. Thus, the sustainability of the data of traditional joinery typologies for use in contemporary houses has been ensured. In conclusion, optimal alternative typologies were presented in regard to every chopping typology assessed with the genetic algorithm method. It is thought that this study should be a method that can be used in the production of exterior joinery typologies of contemporary houses to be built in many different cities of our country, especially in the historical texture. Thus, by using the GA method for the production of exterior joinery typologies of contemporary houses to be built in the region, different designers will be able to obtain various designs compatible with the traditional architectural texture while preserving their originality.

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Author Biographies

Mizgin Gökçe Salık, Dicle University

Mizgin Gökçe Salık a PhD student   at Dicle University, Faculty of Architecture, Department of Architecture.  she worked in the private sector on application projects and designs. She is currently working as a lecturer    at Department of Architecture and Urbanism in the Ağrı İbrahim Çeçen University. She has publications on architecture.

F. Demet Aykal, Dicle University

F. Demet Aykal is currently working as a professor of planning, planning theory and design approaches at Dicle University, Faculty of Architecture.F. Demet Aykal serves as the vice dean of the faculty of architecture in. She has publications in journals in many fields related to architecture and is a referee.

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Published

27-06-2023

How to Cite

Gökçe Salık, M., & Aykal, F. D. (2023). Generative Facade Elements Recommendation for Diyarbakır Traditional U Plan Type Residences. ICONARP International Journal of Architecture and Planning, 11(1), 107–136. https://doi.org/10.15320/ICONARP.2023.235

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