Exploring Homeomorphism in Building Plans

dc.authorscopusid 6603560195
dc.contributor.author Gokmen,S.
dc.contributor.author Gökmen, Sabri
dc.contributor.other Architecture
dc.date.accessioned 2024-10-15T19:42:08Z
dc.date.available 2024-10-15T19:42:08Z
dc.date.issued 2020
dc.department Kadir Has University en_US
dc.department-temp Gokmen S., Kadir Has University, Istanbul, Turkey en_US
dc.description.abstract This 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.citationcount 0
dc.identifier.isbn 978-156555371-2
dc.identifier.scopus 2-s2.0-85182725069
dc.identifier.uri https://hdl.handle.net/20.500.12469/6521
dc.institutionauthor Gokmen,S.
dc.language.iso en en_US
dc.publisher Association for Computing Machinery, Inc en_US
dc.relation.ispartof SimAUD 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 -- 195930 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 0
dc.subject Digital Heritage en_US
dc.subject Graph en_US
dc.subject Homeomorphism en_US
dc.subject Morphology en_US
dc.subject Symmetry en_US
dc.title Exploring Homeomorphism in Building Plans en_US
dc.type Conference Object en_US
dspace.entity.type Publication
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