Generative Facade Elements Recommendation For Diyarbakır Traditional U Plan Type Residences

dc.contributor.author Gökçe Salık, Mizgin
dc.contributor.author Aykal, Demet F.
dc.date.accessioned 2023-07-20T11:55:47Z
dc.date.available 2023-07-20T11:55:47Z
dc.date.issued 2023
dc.description.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. en_US
dc.identifier.doi 10.15320/ICONARP.2023.235
dc.identifier.issn 2147-9380 en_US
dc.identifier.uri https://hdl.handle.net/20.500.13091/4279
dc.identifier.uri https://doi.org/10.15320/ICONARP.2023.235
dc.language.iso en en_US
dc.publisher Konya Technical University Faculty of Architecture and Design en_US
dc.relation.ispartof ICONARP International Journal of Architecture and Planning en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Generative systems en_US
dc.subject Genetic algorithms en_US
dc.subject Shape grammar en_US
dc.subject Traditional texture en_US
dc.title Generative Facade Elements Recommendation For Diyarbakır Traditional U Plan Type Residences en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.contributor.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE# en_US
gdc.contributor.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE# en_US
gdc.description.department KTÜN en_US
gdc.description.endpage 136 en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Başka Kurum Yazarı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 107 en_US
gdc.description.volume 11 en_US
gdc.description.wosquality N/A
gdc.identifier.openalex W4382195713
gdc.oaire.accesstype GOLD
gdc.oaire.diamondjournal false
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gdc.oaire.keywords generative systems
gdc.oaire.keywords traditional texture
gdc.oaire.keywords Traditional texture
gdc.oaire.keywords Genetic algorithms
gdc.oaire.keywords NA1-9428
gdc.oaire.keywords Generative systems
gdc.oaire.keywords genetic algorithms
gdc.oaire.keywords HT165.5-169.9
gdc.oaire.keywords Architecture
gdc.oaire.keywords shape grammar
gdc.oaire.keywords Shape grammar
gdc.oaire.keywords City planning
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