Exploring Homeomorphism in Building Plans

dc.authorscopusid6603560195
dc.contributor.authorGokmen,S.
dc.contributor.authorGökmen, Sabri
dc.date.accessioned2024-10-15T19:42:08Z
dc.date.available2024-10-15T19:42:08Z
dc.date.issued2020
dc.departmentKadir Has Universityen_US
dc.department-tempGokmen S., Kadir Has University, Istanbul, Turkeyen_US
dc.description.abstractThis paper discusses a type of graph called “homeomorphically irreducible tree” (HIT) and its applicability for a formal study of symmetry in building plans. As a theoretical introduction, the mathematical properties of HITs are introduced through different historical building samples all of which display symmetry, proportion and homologous wings in their formal organization. The extracted principles are used to formulate a generative algorithm that reduces graph complexity to simple sequential numeric representation. This method is converted to a “homeomorphic machine” that is explored through generative plans. The aim of the paper is to introduce a new graph-based approach for potential morphological research into architectural symmetry. © 2020 Society for Modeling & Simulation International (SCS) centered on the notion of symmetry and branching morphogenesis in architecture. The aim of the research is two-fold. Firstly, formal computation is considered within a historical continuum where it can be applied to a broader class of historical works of architecture, potentially drawing links between them. This also requires a re-evaluation of core architectural principles such as symmetry and proportion that can potentially remedy architecture’s relationship with natural sciences. Secondly, computational methods need to be formulated primarily according to architectural principles that can overlap with various mathematical and algorithmic applications while conforming to the historical development of architectural knowledge. This aspect can have both theoretical and practical implications to architectural research and influence the formulation of new methods for machine learning in the future.en_US
dc.identifier.citationcount0
dc.identifier.isbn978-156555371-2
dc.identifier.scopus2-s2.0-85182725069
dc.identifier.urihttps://hdl.handle.net/20.500.12469/6521
dc.institutionauthorGokmen,S.
dc.language.isoenen_US
dc.publisherAssociation for Computing Machinery, Incen_US
dc.relation.ispartofSimAUD 2020: Proceedings of the 11th Annual Symposium on Simulation for Architecture and Urban Design -- 11th Annual Symposium on Simulation for Architecture and Urban Design, SimAUD 2020 -- 25 May 2020 through 27 May 2020 -- Virtual, Online -- 195930en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDigital Heritageen_US
dc.subjectGraphen_US
dc.subjectHomeomorphismen_US
dc.subjectMorphologyen_US
dc.subjectSymmetryen_US
dc.titleExploring Homeomorphism in Building Plansen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublication6a9c377d-cbfc-476c-ab56-a6a4709a5a21
relation.isAuthorOfPublication.latestForDiscovery6a9c377d-cbfc-476c-ab56-a6a4709a5a21

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