Generative Facade Elements Recommendation for Diyarbakır Traditional U Plan Type Residences
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 buil...
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| Format: | Article |
| Language: | English |
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Konya Technical University Faculty of Architecture and Design
2023-06-01
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| Series: | Iconarp International Journal of Architecture and Planning |
| Subjects: | |
| Online Access: | https://iconarp.ktun.edu.tr/index.php/iconarp/article/view/841 |
| _version_ | 1797794121284321280 |
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| author | Mizgin Gökçe Salık F. Demet Aykal |
| author_facet | Mizgin Gökçe Salık F. Demet Aykal |
| author_sort | Mizgin Gökçe Salık |
| collection | DOAJ |
| description |
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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| first_indexed | 2024-03-13T02:58:12Z |
| format | Article |
| id | doaj.art-036db3988328456286c03e8935b8b215 |
| institution | Directory Open Access Journal |
| issn | 2147-9380 |
| language | English |
| last_indexed | 2024-03-13T02:58:12Z |
| publishDate | 2023-06-01 |
| publisher | Konya Technical University Faculty of Architecture and Design |
| record_format | Article |
| series | Iconarp International Journal of Architecture and Planning |
| spelling | doaj.art-036db3988328456286c03e8935b8b2152023-06-27T19:32:56ZengKonya Technical University Faculty of Architecture and DesignIconarp International Journal of Architecture and Planning2147-93802023-06-0111110.15320/ICONARP.2023.235Generative Facade Elements Recommendation for Diyarbakır Traditional U Plan Type ResidencesMizgin Gökçe Salık0F. Demet Aykal1Dicle UniversityDicle University 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. https://iconarp.ktun.edu.tr/index.php/iconarp/article/view/841generative systemsgenetic algorithmsshape grammartraditional texture |
| spellingShingle | Mizgin Gökçe Salık F. Demet Aykal Generative Facade Elements Recommendation for Diyarbakır Traditional U Plan Type Residences Iconarp International Journal of Architecture and Planning generative systems genetic algorithms shape grammar traditional texture |
| title | Generative Facade Elements Recommendation for Diyarbakır Traditional U Plan Type Residences |
| title_full | Generative Facade Elements Recommendation for Diyarbakır Traditional U Plan Type Residences |
| title_fullStr | Generative Facade Elements Recommendation for Diyarbakır Traditional U Plan Type Residences |
| title_full_unstemmed | Generative Facade Elements Recommendation for Diyarbakır Traditional U Plan Type Residences |
| title_short | Generative Facade Elements Recommendation for Diyarbakır Traditional U Plan Type Residences |
| title_sort | generative facade elements recommendation for diyarbakir traditional u plan type residences |
| topic | generative systems genetic algorithms shape grammar traditional texture |
| url | https://iconarp.ktun.edu.tr/index.php/iconarp/article/view/841 |
| work_keys_str_mv | AT mizgingokcesalık generativefacadeelementsrecommendationfordiyarbakırtraditionaluplantyperesidences AT fdemetaykal generativefacadeelementsrecommendationfordiyarbakırtraditionaluplantyperesidences |