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CO 2 Emission Optimization of Concrete-Filled Steel Tubular Rectangular Stub 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, Montréal, QC H3T 1J4, Canada)

  • Gebrail Bekdaş

    (Department of Civil Engineering, İstanbul University-Cerrahpaşa, İstanbul 34320, Turkey)

  • Sanghun Kim

    (Department of Civil and Environmental Engineering, Temple University, Philadelphia, PA 19122, USA)

  • Zong Woo Geem

    (College of IT Convergence, Gachon University, Seongnam 13120, Korea)

Abstract

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 N u 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 N u 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 CO 2 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 CO 2 emissions associated with the fabrication of CFST stub columns. The effects of varying the wall thickness as well as the concrete compressive strength on CO 2 emissions are visualized by using two different optimization techniques.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:10981-:d:649324
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Zülal Akbay Arama & Aylin Ece Kayabekir & Gebrail Bekdaş & Zong Woo Geem, 2020. "CO 2 and Cost Optimization of Reinforced Concrete Cantilever Soldier Piles: A Parametric Study with Harmony Search Algorithm," Sustainability, MDPI, vol. 12(15), pages 1-25, July.
    4. 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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    Cited by:

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