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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Celal Cakiroglu & Kamrul Islam & Gebrail Bekdaş & Muntasir Billah, 2021. "CO 2 Emission and Cost Optimization of Concrete-Filled Steel Tubular (CFST) Columns Using Metaheuristic Algorithms," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:8092-:d:597634
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    References listed on IDEAS

    as
    1. Michal Ženíšek & Jan Pešta & Martin Tipka & Vladimír Kočí & Petr Hájek, 2020. "Optimization of RC Structures in Terms of Cost and Environmental Impact—Case Study," Sustainability, MDPI, vol. 12(20), pages 1-25, October.
    2. Alrashidi, Musaed & Rahman, Saifur & Pipattanasomporn, Manisa, 2020. "Metaheuristic optimization algorithms to estimate statistical distribution parameters for characterizing wind speeds," Renewable Energy, Elsevier, vol. 149(C), pages 664-681.
    3. Inkwan Paik & Seunguk Na, 2019. "Comparison of Carbon Dioxide Emissions of the Ordinary Reinforced Concrete Slab and the Voided Slab System During the Construction Phase: A Case Study of a Residential Building in South Korea," Sustainability, MDPI, vol. 11(13), pages 1-16, June.
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    1. Celal Cakiroglu & Kamrul Islam & Gebrail Bekdaş & Sanghun Kim & Zong Woo Geem, 2021. "CO 2 Emission Optimization of Concrete-Filled Steel Tubular Rectangular Stub Columns Using Metaheuristic Algorithms," Sustainability, MDPI, vol. 13(19), pages 1-26, October.

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