Weight and Material Optimization of Scissor-hinge Linkages According to Given Span Length

dc.contributor.author Yenal Akgün
dc.contributor.author Feray Maden
dc.contributor.author Erinç Yildirim
dc.contributor.author Yildirim, Erinç
dc.contributor.author Akgün, Yenal
dc.contributor.author Maden, Feray
dc.contributor.editor N.D. Lagaros , K.M. Abdalla , G.C. Marano , M.C. Phocas , R. Al Rousan
dc.date.accessioned 2025-10-06T17:51:08Z
dc.date.issued 2020
dc.description.abstract Scissor-hinge linkages are one type of deployable structures which are mostly used in architectural and engineering applications due to their transformation capabilities and the advantages of ease of erection and dismantling. For hundreds of years these linkages have been used in wide range of applications such as deployable roof structures bridges shells pavilions emergency shelters furniture design and satellite equipment. Scissor-hinge linkages have different primary units depending on the geometry of the bars and the location of the pivot point which are called as polar translational and angulated. Geometry and dimensions of these primary elements directly affect the geometry and the weight of the whole structure. This study aims to investigate the relationship between the span length geometry of the primary units cross section of the bars and the material of the scissor-hinge linkages by means of genetic algorithms. In detail a structural and geometric optimization is made in order to obtain the lightest geometric configuration for the given span lengths while keeping the structural strength and stability by altering typology dimensions number of the primary units and material parameters. To achieve that a multi-objective genetic algorithm based optimization approach is utilized. Generative model is created in Grasshopper® parametric design software. The structural performances of the generated solutions are evaluated with the help of Karamba3D that is a parametric structural tool for Grasshopper. Optimization of the problem is performed via multi objective genetic optimization plug-in named Octopus. © 2020 Elsevier B.V. All rights reserved.
dc.description.sponsorship This paper is a part of a research project called OptArch: Optimization Driven Architectural Design of Structures which is funded by the European Union's Horizon 2020: Research and Innovation Program (RISE) under the Marie Sklodowska-Curie grant agreement No: 689983. We wish to express our special thanks to the authorities of the grant.
dc.description.sponsorship This paper is a part of a research project called O“ ptArch : Optimization Driven Architectural Design of Structures” which is funded by the European Union’s Horizon 2020: Research and Innovation Program (RISE) under the Marie Skłodowska-Curie grant agreement No: 689983.” We wish to express our special thanks to the authorities of the grant.
dc.description.sponsorship European Union [689983]; Marie Curie Actions (MSCA) [689983] Funding Source: Marie Curie Actions (MSCA)
dc.description.sponsorship Horizon 2020 Framework Programme, H2020; H2020 Marie Skłodowska-Curie Actions, MSCA, (689983); H2020 Marie Skłodowska-Curie Actions, MSCA; Horizon 2020
dc.identifier.doi 10.1016/j.promfg.2020.02.279
dc.identifier.isbn 9781510832350
dc.identifier.issn 23519789
dc.identifier.issn 2351-9789
dc.identifier.scopus 2-s2.0-85088047137
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088047137&doi=10.1016%2Fj.promfg.2020.02.279&partnerID=40&md5=f246338386e01d9c940d8753e94a4a78
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/9296
dc.identifier.uri https://doi.org/10.1016/j.promfg.2020.02.279
dc.language.iso English
dc.publisher Elsevier B.V.
dc.relation.ispartof 1st International Conference on Optimization-Driven Architectural Design OPTARCH 2019
dc.relation.ispartofseries Procedia Manufacturing
dc.rights info:eu-repo/semantics/openAccess
dc.source Procedia Manufacturing
dc.subject Deployable Structures, Genetic Algorithm, Optimization, Scissor-hinge Linkages, Structural Analysis
dc.subject Deployable Structures
dc.subject Genetic Algorithm
dc.subject Scissor-Hinge Linkages
dc.subject Structural Analysis
dc.subject Optimization
dc.title Weight and Material Optimization of Scissor-hinge Linkages According to Given Span Length
dc.type Conference Object
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gdc.author.id MADEN, FERAY/0000-0003-2936-3879
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gdc.author.wosid Akgün, Yenal/A-7579-2018
gdc.author.wosid MADEN, FERAY/B-6362-2012
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gdc.description.department
gdc.description.departmenttemp [Akgun, Yenal; Maden, Feray; Yildirim, Erinc] Yasar Univ, Dept Architecture, Univ Cad,37-39 Agacl Yol Bornova, Izmir 35100, Turkey
gdc.description.endpage 393
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 387
gdc.description.volume 44
gdc.description.woscitationindex Conference Proceedings Citation Index - Science
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gdc.oaire.sciencefields 0211 other engineering and technologies
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gdc.virtual.author Yildirim, Erinç
gdc.virtual.author Maden, Feray
gdc.virtual.author Akgun, Yenal
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oaire.citation.endPage 393
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person.identifier.scopus-author-id Akgün- Yenal (36093948200), Maden- Feray (35100703400), Yildirim- Erinç (57218139034)
project.funder.name This paper is a part of a research project called O“ ptArch : Optimization Driven Architectural Design of Structures” which is funded by the European Union’s Horizon 2020: Research and Innovation Program (RISE) under the Marie Skłodowska-Curie grant agreement No: 689983.” We wish to express our special thanks to the authorities of the grant.
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