Automated Selection of Optimal Material for Pressurized Multi-Layer Composite Tubes Based on an Evolutionary Approach

dc.authorid Akis, Tolga/0000-0002-6754-4497
dc.authorid Kazemzadeh Azad, Saeid/0000-0001-9309-607X
dc.authorscopusid 57193753354
dc.authorscopusid 55144319800
dc.authorwosid Akis, Tolga/P-6181-2014
dc.contributor.author Azad, Saeid Kazemzadeh
dc.contributor.author Akis, Tolga
dc.contributor.other Civil Engineering
dc.contributor.other Department of Civil Engineering
dc.date.accessioned 2024-07-05T15:27:29Z
dc.date.available 2024-07-05T15:27:29Z
dc.date.issued 2018
dc.department Atılım University en_US
dc.department-temp [Azad, Saeid Kazemzadeh; Akis, Tolga] Atilim Univ, Dept Civil Engn, Ankara, Turkey en_US
dc.description Akis, Tolga/0000-0002-6754-4497; Kazemzadeh Azad, Saeid/0000-0001-9309-607X en_US
dc.description.abstract Decision making on the configuration of material layers as well as thickness of each layer in composite assemblies has long been recognized as an optimization problem. Today, on the one hand, abundance of industrial alloys with different material properties and costs facilitates fabrication of more economical or light weight assemblies. On the other hand, in the design stage, availability of different alternative materials apparently increases the complexity of the design optimization problem and arises the need for efficient optimization techniques. In the present study, the well-known big bang-big crunch optimization algorithm is reformulated for optimum design of internally pressurized tightly fitted multi-layer composite tubes with axially constrained ends. An automated material selection and thickness optimization approach is employed for both weight and cost minimization of one-, two-, and three-layer tubes, and the obtained results are compared. The numerical results indicate the efficiency of the proposed approach in practical optimum design of multi-layer composite tubes under internal pressure and quantify the optimality of different composite assemblies compared to one-layer tubes. en_US
dc.identifier.citationcount 10
dc.identifier.doi 10.1007/s00521-016-2563-6
dc.identifier.endpage 416 en_US
dc.identifier.issn 0941-0643
dc.identifier.issn 1433-3058
dc.identifier.issue 7 en_US
dc.identifier.scopus 2-s2.0-84983560221
dc.identifier.startpage 405 en_US
dc.identifier.uri https://doi.org/10.1007/s00521-016-2563-6
dc.identifier.uri https://hdl.handle.net/20.500.14411/2672
dc.identifier.volume 29 en_US
dc.identifier.wos WOS:000427799400009
dc.identifier.wosquality Q2
dc.institutionauthor Akış, Tolga
dc.institutionauthor Azad, Saeıd Kazemzadeh
dc.language.iso en en_US
dc.publisher Springer London Ltd en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 12
dc.subject Metaheuristics en_US
dc.subject Composite assembly en_US
dc.subject Evolutionary algorithm en_US
dc.subject Multi-layer composite tubes en_US
dc.subject Big bang-big crunch algorithm en_US
dc.subject Design optimization en_US
dc.title Automated Selection of Optimal Material for Pressurized Multi-Layer Composite Tubes Based on an Evolutionary Approach en_US
dc.type Article en_US
dc.wos.citedbyCount 10
dspace.entity.type Publication
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