Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/4279
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGökçe Salık, Mizginen_US
dc.contributor.authorAykal, Demet F.en_US
dc.date.accessioned2023-07-20T11:55:47Z-
dc.date.available2023-07-20T11:55:47Z-
dc.date.issued2023en_US
dc.identifier.urihttps://hdl.handle.net/20.500.13091/4279-
dc.identifier.urihttps://doi.org/10.15320/ICONARP.2023.235-
dc.description.abstractGenetic 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.language.isoenen_US
dc.publisherKonya Technical University Faculty of Architecture and Designen_US
dc.relation.ispartofICONARP International Journal of Architecture and Planningen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectGenerative systemsen_US
dc.subjectGenetic algorithmsen_US
dc.subjectShape grammaren_US
dc.subjectTraditional textureen_US
dc.titleGenerative Facade Elements Recommendation for Diyarbakır Traditional U Plan Type Residencesen_US
dc.typeArticleen_US
dc.identifier.doi10.15320/ICONARP.2023.235-
dc.relation.issn2147-9380en_US
dc.description.volume11en_US
dc.description.issue1en_US
dc.description.startpage107en_US
dc.description.endpage136en_US
dc.departmentKTÜNen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Başka Kurum Yazarıen_US
item.fulltextWith Fulltext-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
Appears in Collections:ICONARP - International Journal of Architecture and Planning
Show simple item record



CORE Recommender

Page view(s)

84
checked on Aug 26, 2024

Download(s)

70
checked on Aug 26, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.