Jaya Algorithm for Optimization of 2D Reinforced Concrete Frame Structure
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.
Anahtar Kelimeler
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Grzywiński, Maksym | |
| dc.contributor.author | Dede, Tayfun | |
| dc.contributor.author | Atmaca, Barbaros | |
| dc.contributor.author | Aslay, Semi E. | |
| dc.contributor.editor | E., Świtoński | |
| dc.contributor.editor | A., Mężyk | |
| dc.contributor.editor | S., Kciuk | |
| dc.contributor.editor | R., Szewczyk | |
| dc.date.accessioned | 2026-10-18T20:26:08.759689357Z | |
| dc.date.available | 2026-10-18T20:26:08.759689357Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | 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. | |
| dc.identifier.doi | 10.1007/978-3-031-73161-7_7 | |
| dc.identifier.eissn | 2367-3389 | |
| dc.identifier.endpage | 80 | |
| dc.identifier.isbn | 978-303173160-0 | |
| dc.identifier.issn | 2367-3370 | |
| dc.identifier.scopus | 2-s2.0-85208714383 | |
| dc.identifier.startpage | 74 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/ebyu/11042 | |
| dc.identifier.volume | 1146 LNNS | |
| dc.identifier.wos | WOS:001812483000007 | |
| dc.language.iso | en | |
| dc.publisher | Springer Science and Business Media Deutschland GmbH | |
| dc.relation.ispartof | Lecture Notes in Networks and Systems | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | frame structure | |
| dc.subject | Jaya algorithm | |
| dc.subject | reinforced concrete | |
| dc.subject | size optimization | |
| dc.subject | Constrained optimization | |
| dc.subject | Shape optimization | |
| dc.subject | Structural design | |
| dc.subject | Structural frames | |
| dc.subject | Different sizes | |
| dc.subject | Easy fabrication | |
| dc.subject | High-strength | |
| dc.subject | Optimal design | |
| dc.subject | Optimisations | |
| dc.subject | Reinforced concrete frame structures | |
| dc.subject | Skeleton frames | |
| dc.subject | Structural optimization | |
| dc.title | Jaya Algorithm for Optimization of 2D Reinforced Concrete Frame Structure | |
| dc.type | Conference Object | |
| dspace.entity.type | Publication | |
| rdl.citation.scopus | 0 | |
| rdl.citation.wos | 0 | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.wos.index | Conference Proceedings Citation Index - Science (CPCI-S) |
