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

dc.contributor.author Yenal Akgun
dc.contributor.author Feray Maden
dc.contributor.author Erinc Yildirim
dc.contributor.editor ND Lagaros
dc.contributor.editor KM Abdalla
dc.contributor.editor GC Marano
dc.contributor.editor MC Phocas
dc.contributor.editor R AlRousan
dc.coverage.spatial Amman JORDAN
dc.date.accessioned 2025-10-06T16:19:26Z
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 (R) 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. (C) 2020 The Authors. Published by Elsevier B.V.
dc.identifier.doi 10.1016/j.promfg.2020.02.279
dc.identifier.issn 2351-9789
dc.identifier.uri http://dx.doi.org/10.1016/j.promfg.2020.02.279
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/5817
dc.language.iso English
dc.publisher ELSEVIER SCIENCE BV
dc.relation.ispartof 1st International Conference on Optimization-Driven Architectural Design (OPTARCH)
dc.source 1ST INTERNATIONAL CONFERENCE ON OPTIMIZATION-DRIVEN ARCHITECTURAL DESIGN (OPTARCH 2019)
dc.subject Deployable Structures, Scissor-hinge Linkages, Structural Analysis, Optimization, Genetic Algorithm
dc.title Weight and Material Optimization of Scissor-hinge Linkages According to Given Span Length
dc.type Conference Object
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gdc.description.endpage 393
gdc.description.startpage 387
gdc.description.volume 44
gdc.identifier.openalex W3021401146
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gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.sciencefields 0201 civil engineering
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oaire.citation.endPage 393
oaire.citation.startPage 387
person.identifier.orcid MADEN- FERAY/0000-0003-2936-3879,
project.funder.name European Union [689983], Marie Curie Actions (MSCA) [689983] Funding Source: Marie Curie Actions (MSCA)
publicationvolume.volumeNumber 44
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