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CO2 Emission and Cost Optimization of Concrete-Filled Steel Tubular (CFST) Columns Using Metaheuristic Algorithms
 
 
Article

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

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Department of Civil Engineering, Turkish-German University, İstanbul 34820, Turkey
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Department of Civil, Geological and Mining Engineering, Polytechnique Montréal, Montréal, QC H3T 1J4, Canada
3
Department of Civil Engineering, İstanbul University-Cerrahpaşa, İstanbul 34320, Turkey
4
Department of Civil and Environmental Engineering, Temple University, Philadelphia, PA 19122, USA
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College of IT Convergence, Gachon University, Seongnam 13120, Korea
*
Authors to whom correspondence should be addressed.
Academic Editor: Gianluca Mazzucco
Sustainability 2021, 13(19), 10981; https://doi.org/10.3390/su131910981
Received: 2 August 2021 / Revised: 27 September 2021 / Accepted: 29 September 2021 / Published: 3 October 2021
Concrete-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. View Full-Text
Keywords: optimization; harmony search; concrete-filled steel tubes optimization; harmony search; concrete-filled steel tubes
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MDPI and ACS Style

Cakiroglu, C.; Islam, K.; Bekdaş, G.; Kim, S.; Geem, Z.W. CO2 Emission Optimization of Concrete-Filled Steel Tubular Rectangular Stub Columns Using Metaheuristic Algorithms. Sustainability 2021, 13, 10981. https://doi.org/10.3390/su131910981

AMA Style

Cakiroglu C, Islam K, Bekdaş G, Kim S, Geem ZW. CO2 Emission Optimization of Concrete-Filled Steel Tubular Rectangular Stub Columns Using Metaheuristic Algorithms. Sustainability. 2021; 13(19):10981. https://doi.org/10.3390/su131910981

Chicago/Turabian Style

Cakiroglu, Celal, Kamrul Islam, Gebrail Bekdaş, Sanghun Kim, and Zong Woo Geem. 2021. "CO2 Emission Optimization of Concrete-Filled Steel Tubular Rectangular Stub Columns Using Metaheuristic Algorithms" Sustainability 13, no. 19: 10981. https://doi.org/10.3390/su131910981

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