IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i19p10981-d649324.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/19/10981/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/19/10981/
    Download Restriction: no
    ---><---

    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. 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.
    3. 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.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wei-Kang Lin & Xiao-Wu Tang & Yuan Zou & Jia-Xin Liang & Ke-Yi Li, 2023. "Research on the Bearing Capacity and Sustainable Construction of a Vacuum Drainage Pipe Pile," Sustainability, MDPI, vol. 15(9), pages 1-15, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Ayman Al-Quraan & Bashar Al-Mhairat, 2022. "Intelligent Optimized Wind Turbine Cost Analysis for Different Wind Sites in Jordan," Sustainability, MDPI, vol. 14(5), pages 1-24, March.
    3. Olgun Aydin & Bartłomiej Igliński & Krzysztof Krukowski & Marek Siemiński, 2022. "Analyzing Wind Energy Potential Using Efficient Global Optimization: A Case Study for the City Gdańsk in Poland," Energies, MDPI, vol. 15(9), pages 1-22, April.
    4. Wang, Jiangjiang & Huo, Shuojie & Yan, Rujing & Cui, Zhiheng, 2022. "Leveraging heat accumulation of district heating network to improve performances of integrated energy system under source-load uncertainties," Energy, Elsevier, vol. 252(C).
    5. Alena Tažiková & Zuzana Struková & Mária Kozlovská, 2023. "An Analysis of Real Site Operation Time in Construction of Residential Buildings in Slovakia," Sustainability, MDPI, vol. 15(2), pages 1-20, January.
    6. Gebrail Bekdaş & Sinan Melih Nigdeli & Sanghun Kim & Zong Woo Geem, 2022. "Modified Harmony Search Algorithm-Based Optimization for Eco-Friendly Reinforced Concrete Frames," Sustainability, MDPI, vol. 14(6), pages 1-13, March.
    7. Mauricio Morales-Beltran & Pınar Engür & Ömer Asım Şişman & Gizem Nur Aykar, 2023. "Redesigning for Disassembly and Carbon Footprint Reduction: Shifting from Reinforced Concrete to Hybrid Timber–Steel Multi-Story Building," Sustainability, MDPI, vol. 15(9), pages 1-21, April.
    8. Akpan, Anthony E. & Ben, Ubong C. & Ekwok, Stephen E. & Okolie, Chukwuma J. & Epuh, Emeka E. & Julzarika, Atriyon & Othman, Abdullah & Eldosouky, Ahmed M., 2024. "Technical and performance assessments of wind turbines in low wind speed areas using numerical, metaheuristic and remote sensing procedures," Applied Energy, Elsevier, vol. 357(C).
    9. Abubaker Younis & Fatima Belabbes & Petru Adrian Cotfas & Daniel Tudor Cotfas, 2024. "Utilizing the Honeybees Mating-Inspired Firefly Algorithm to Extract Parameters of the Wind Speed Weibull Model," Forecasting, MDPI, vol. 6(2), pages 1-21, May.
    10. Golden Odey & Bashir Adelodun & Sang-Hyun Kim & Kyung-Sook Choi, 2021. "Status of Environmental Life Cycle Assessment (LCA): A Case Study of South Korea," Sustainability, MDPI, vol. 13(11), pages 1-30, June.
    11. Sehee Han & Seunguk Na & Nam-Gi Lim, 2020. "Evaluation of Road Transport Pollutant Emissions from Transporting Building Materials to the Construction Site by Replacing Old Vehicles," IJERPH, MDPI, vol. 17(24), pages 1-15, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:10981-:d:649324. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.