CO2 Emission Optimization of Concrete-Filled Steel Tubular Rectangular Stub Columns Using Metaheuristic Algorithms

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dc.authoridCakiroglu, Celal/0000-0001-7329-1230
dc.authoridIslam, Kamrul/0000-0002-2780-9884
dc.authoridKim, Sanghun/0000-0002-1423-6116
dc.authoridGeem, Zong Woo/0000-0002-0370-5562
dc.authoridBekdas, Gebrail/0000-0002-7327-9810
dc.contributor.authorCakiroglu, Celal
dc.contributor.authorIslam, Kamrul
dc.contributor.authorBekdas, Gebrail
dc.contributor.authorKim, Sanghun
dc.contributor.authorGeem, Zong Woo
dc.date.accessioned2025-02-20T08:42:13Z
dc.date.available2025-02-20T08:42:13Z
dc.date.issued2021
dc.departmentTürk-Alman Üniversitesien_US
dc.description.abstractConcrete-filled steel tubular (CFST) columns have been assiduously investigated experimentally and numerically due to the superior structural performance they exhibit. To obtain the best possible performance from CFST columns while reducing the environmental impact, the use of optimization algorithms is indispensable. Metaheuristic optimization techniques provide the designers of CFST members with a very efficient set of tools to obtain design combinations that perform well under external loading and have a low carbon footprint at the same time. That is why metaheuristic algorithms are more applicable in civil engineering due to their high efficiency. A large number of formulas for the prediction of the axial ultimate load-carrying capacity Nu of CFST columns are available in design codes. However, a limitation of the usage of these design formulas is that most of these formulas are only applicable for narrow ranges of design variables. In this study a newly developed set of equations with a wide range of applicability that calculates Nu in case of rectangular cross-sections is applied. In order to optimize the cross-sectional dimensions, two different metaheuristic algorithms are used, and their performances are compared. The reduction in CO2 emission is demonstrated as a function of cross-sectional dimensions while considering certain structural performance requirements. The outcome of the more recently developed social spider algorithm is compared to the outcome of the well-established harmony search technique. The objective of optimization was to minimize CO2 emissions associated with the fabrication of CFST stub columns. The effects of varying the wall thickness as well as the concrete compressive strength on CO2 emissions are visualized by using two different optimization techniques.
dc.description.sponsorshipEnergy Cloud R&D Program through the National Research Foundation of Korea (NRF) - Ministry of Science, ICT [2019M3F2A1073164]
dc.description.sponsorshipThis research was supported by the Energy Cloud R&D Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT (2019M3F2A1073164).
dc.identifier.doi10.3390/su131910981
dc.identifier.issn2071-1050
dc.identifier.issue19en_US
dc.identifier.scopus2-s2.0-85116487587
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/su131910981
dc.identifier.urihttps://hdl.handle.net/20.500.12846/1568
dc.identifier.volume13en_US
dc.identifier.wosWOS:000709552300001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofSustainability
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250220
dc.subjectoptimizationen_US
dc.subjectharmony searchen_US
dc.subjectconcrete-filled steel tubesen_US
dc.titleCO2 Emission Optimization of Concrete-Filled Steel Tubular Rectangular Stub Columns Using Metaheuristic Algorithms
dc.typeArticle

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