Jaya Algorithm for Optimization of 2D Reinforced Concrete Frame Structure

Conference ObjectAçık Erişim

Özet

Reinforced concrete skeleton frames are preferred for different sizes and types of structures, due to their features such as high strength, durability, and easy fabrication. This study aims to present the efficiency of the Jaya algorithm for determining the optimal design solution for two-dimensional reinforced concrete frame structures. A three-bay, and three-story frame structure is taken as a numerical example. Turkish standard has been taken into account in the design. The Jaya algorithm is a meta-heuristic that is capable of solving both constrained and unconstrained optimization problems. It is a population-based method that repeatedly modifies a population of individual solutions. It is a gradient-free optimization algorithm. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/11042Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1007/978-3-031-73161-7_7Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorGrzywiński, Maksym
dc.contributor.authorDede, Tayfun
dc.contributor.authorAtmaca, Barbaros
dc.contributor.authorAslay, Semi E.
dc.contributor.editorE., Świtoński
dc.contributor.editorA., Mężyk
dc.contributor.editorS., Kciuk
dc.contributor.editorR., Szewczyk
dc.date.accessioned2026-10-18T20:26:08.759689357Z
dc.date.available2026-10-18T20:26:08.759689357Z
dc.date.issued2025
dc.description.abstractReinforced concrete skeleton frames are preferred for different sizes and types of structures, due to their features such as high strength, durability, and easy fabrication. This study aims to present the efficiency of the Jaya algorithm for determining the optimal design solution for two-dimensional reinforced concrete frame structures. A three-bay, and three-story frame structure is taken as a numerical example. Turkish standard has been taken into account in the design. The Jaya algorithm is a meta-heuristic that is capable of solving both constrained and unconstrained optimization problems. It is a population-based method that repeatedly modifies a population of individual solutions. It is a gradient-free optimization algorithm. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
dc.identifier.doi10.1007/978-3-031-73161-7_7
dc.identifier.eissn2367-3389
dc.identifier.endpage80
dc.identifier.isbn978-303173160-0
dc.identifier.issn2367-3370
dc.identifier.scopus2-s2.0-85208714383
dc.identifier.startpage74
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/11042
dc.identifier.volume1146 LNNS
dc.identifier.wosWOS:001812483000007
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofLecture Notes in Networks and Systems
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectframe structure
dc.subjectJaya algorithm
dc.subjectreinforced concrete
dc.subjectsize optimization
dc.subjectConstrained optimization
dc.subjectShape optimization
dc.subjectStructural design
dc.subjectStructural frames
dc.subjectDifferent sizes
dc.subjectEasy fabrication
dc.subjectHigh-strength
dc.subjectOptimal design
dc.subjectOptimisations
dc.subjectReinforced concrete frame structures
dc.subjectSkeleton frames
dc.subjectStructural optimization
dc.titleJaya Algorithm for Optimization of 2D Reinforced Concrete Frame Structure
dc.typeConference Object
dspace.entity.typePublication
rdl.citation.scopus0
rdl.citation.wos0
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexConference Proceedings Citation Index - Science (CPCI-S)