CO 2 Emission and Cost Optimization of Concrete-Filled Steel Tubular (CFST) Columns Using Metaheuristic Algorithms

Celal Cakiroglu, Kamrul Islam, Gebrail Bekdaş and Muntasir Billah
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Celal Cakiroglu: Department of Civil Engineering, Turkish-German University, İstanbul 34820, Turkey
Kamrul Islam: Department of Civil, Geological and Mining Engineering, Polytechnique Montréal, Montreal, QC H3C 3A7, Canada
Gebrail Bekdaş: Department of Civil Engineering, İstanbul University-Cerrahpaşa, İstanbul 34320, Turkey
Muntasir Billah: Department of Civil Engineering, Lakehead University, Thunder Bay, ON P7B 7E1, Canada

Sustainability, 2021, vol. 13, issue 14, 1-23

Abstract: Concrete-filled steel tubular columns have garnered wide interest among researchers due to their favorable structural characteristics. To attain the best possible performance from concrete-filled steel tubular columns while reducing the cost, the use of optimization algorithms is indispensable. In this regard, metaheuristic algorithms are finding increasing application in structural engineering due to their high efficiency. Various equations that predict the ultimate axial load-carrying capacity (N u ) of concrete-filled steel tubular columns are available in design codes as well as in the research literature. However, most of these equations are only applicable within certain parameter ranges. To overcome this limitation, the present study adopts a recently developed set of equations for the prediction of Nu that have broader ranges of applicability. Furthermore, a newly developed metaheuristic algorithm, called the social spider algorithm, is introduced and applied in optimizing the cross-section of circular concrete-filled steel tubular columns. The improvement of the structural dimensioning under the Nu constraint is demonstrated. The objective underlying the optimization presented here is to minimize the CO 2 emission and cost associated with the fabrication of concrete-filled steel tubular stub columns. In this context, the relationships between the cross-sectional dimensioning of circular concrete-filled steel tubular columns and the associated CO 2 emissions and cost are characterized and visualized.

Keywords: concrete-filled steel tubular (CFST) columns; CO 2 emission; CO 2 minimization; cost optimization; eco-friendly design; metaheuristic algorithm; spider algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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