IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i13p7506-d588982.html
   My bibliography  Save this article

Experimental and Informational Modeling Study on Flexural Strength of Eco-Friendly Concrete Incorporating Coal Waste

Author

Listed:
  • Farshad Dabbaghi

    (Faculty of Civil Engineering, Babol Noshirvani University of Technology, Babol 47148-71167, Iran)

  • Maria Rashidi

    (Centre for Infrastructure Engineering, Western Sydney University, Penrith, NSW 2751, Australia)

  • Moncef L. Nehdi

    (Department of Civil and Environmental Engineering, Western University, London, ON N6G 5L1, Canada)

  • Hamzeh Sadeghi

    (Faculty of Civil Engineering, Amirkabir University of Technology, Tehran 47148-71167, Iran)

  • Mahmood Karimaei

    (Faculty of Civil Engineering, Babol Noshirvani University of Technology, Babol 47148-71167, Iran)

  • Haleh Rasekh

    (School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia)

  • Farhad Qaderi

    (Faculty of Civil Engineering, Babol Noshirvani University of Technology, Babol 47148-71167, Iran)

Abstract

Construction activities have been a primary cause for depleting natural resources and are associated with stern environmental impact. Developing concrete mixture designs that meet project specifications is time-consuming, costly, and requires many trial batches and destructive tests that lead to material wastage. Computational intelligence can offer an eco-friendly alternative with superior accuracy and performance. In this study, coal waste was used as a recycled additive in concrete. The flexural strength of a large number of mixture designs was evaluated to create an experimental database. A hybrid artificial neural network (ANN) coupled with response surface methodology (RSM) was trained and employed to predict the flexural strength of coal waste-treated concrete. In this process, four influential parameters including the cement content, water-to-cement ratio, volume of gravel, and coal waste replacement level were specified as independent input variables. The results show that concrete incorporating 3% recycled coal waste could be a competitive and eco-efficient alternative in construction activities while attaining a superior flexural strength of 6.7 MPa. The RSM-modified ANN achieved superior predictive accuracy with an RMSE of 0.875. Based on the experimental results and model predictions, estimating the flexural strength of concrete incorporating waste coal using the RSM-modified ANN model yielded superior accuracy and can be used in engineering practice to save the effort, cost, and material wastage associated with trial batches and destructive laboratory testing while producing mixtures with enhanced flexural strength.

Suggested Citation

  • Farshad Dabbaghi & Maria Rashidi & Moncef L. Nehdi & Hamzeh Sadeghi & Mahmood Karimaei & Haleh Rasekh & Farhad Qaderi, 2021. "Experimental and Informational Modeling Study on Flexural Strength of Eco-Friendly Concrete Incorporating Coal Waste," Sustainability, MDPI, vol. 13(13), pages 1-22, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7506-:d:588982
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/13/7506/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/13/7506/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jack P. C. Kleijnen, 2015. "Response Surface Methodology," International Series in Operations Research & Management Science, in: Michael C Fu (ed.), Handbook of Simulation Optimization, edition 127, chapter 0, pages 81-104, Springer.
    2. Saud A. Alfayez & Ahmed R. Suleiman & Moncef L. Nehdi, 2020. "Recycling Tire Rubber in Asphalt Pavements: State of the Art," Sustainability, MDPI, vol. 12(21), pages 1-15, October.
    3. Maria Rashidi & Alireza Joshaghani & Maryam Ghodrat, 2020. "Towards Eco-Flowable Concrete Production," Sustainability, MDPI, vol. 12(3), pages 1-17, February.
    4. Safeer Abbas & Uzair Arshad & Wasim Abbass & Moncef L. Nehdi & Ali Ahmed, 2020. "Recycling Untreated Coal Bottom Ash with Added Value for Mitigating Alkali–Silica Reaction in Concrete: A Sustainable Approach," Sustainability, MDPI, vol. 12(24), pages 1-24, December.
    Full references (including those not matched with items on IDEAS)

    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. Shen-Tsu Wang, 2016. "Integrating grey sequencing with the genetic algorithm--immune algorithm to optimise touch panel cover glass polishing process parameter design," International Journal of Production Research, Taylor & Francis Journals, vol. 54(16), pages 4882-4893, August.
    2. Yek, Peter Nai Yuh & Cheng, Yoke Wang & Liew, Rock Keey & Wan Mahari, Wan Adibah & Ong, Hwai Chyuan & Chen, Wei-Hsin & Peng, Wanxi & Park, Young-Kwon & Sonne, Christian & Kong, Sieng Huat & Tabatabaei, 2021. "Progress in the torrefaction technology for upgrading oil palm wastes to energy-dense biochar: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    3. Qin, Caiyan & Kim, Joong Bae & Lee, Bong Jae, 2019. "Performance analysis of a direct-absorption parabolic-trough solar collector using plasmonic nanofluids," Renewable Energy, Elsevier, vol. 143(C), pages 24-33.
    4. Kaushik, Lav Kumar & Muthukumar, P., 2020. "Thermal and economic performance assessments of waste cooking oil /kerosene blend operated pressure cook-stove with porous radiant burner," Energy, Elsevier, vol. 206(C).
    5. Yaman, Hayri & Yesilyurt, Murat Kadir & Uslu, Samet, 2022. "Simultaneous optimization of multiple engine parameters of a 1-heptanol / gasoline fuel blends operated a port-fuel injection spark-ignition engine using response surface methodology approach," Energy, Elsevier, vol. 238(PC).
    6. Visva Bharati Barua & Mariya Munir, 2021. "A Review on Synchronous Microalgal Lipid Enhancement and Wastewater Treatment," Energies, MDPI, vol. 14(22), pages 1-20, November.
    7. Ramos, Ana & Monteiro, Eliseu & Rouboa, Abel, 2019. "Numerical approaches and comprehensive models for gasification process: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 188-206.
    8. D. M. D. Rasika & Janak K. Vidanarachchi & Selma F. Luiz & Denise Rosane Perdomo Azeredo & Adriano G. Cruz & Chaminda Senaka Ranadheera, 2021. "Probiotic Delivery through Non-Dairy Plant-Based Food Matrices," Agriculture, MDPI, vol. 11(7), pages 1-23, June.
    9. M'Arimi, M.M. & Mecha, C.A. & Kiprop, A.K. & Ramkat, R., 2020. "Recent trends in applications of advanced oxidation processes (AOPs) in bioenergy production: Review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    10. Muhammad, Gul & Potchamyou Ngatcha, Ange Douglas & Lv, Yongkun & Xiong, Wenlong & El-Badry, Yaser A. & Asmatulu, Eylem & Xu, Jingliang & Alam, Md Asraful, 2022. "Enhanced biodiesel production from wet microalgae biomass optimized via response surface methodology and artificial neural network," Renewable Energy, Elsevier, vol. 184(C), pages 753-764.
    11. Renzi, Massimiliano & Bietresato, Marco & Mazzetto, Fabrizio, 2016. "An experimental evaluation of the performance of a SI internal combustion engine for agricultural purposes fuelled with different bioethanol blends," Energy, Elsevier, vol. 115(P1), pages 1069-1080.
    12. Chamberlin Stéphane Azebaze Mboving & Zbigniew Hanzelka & Andrzej Firlit, 2022. "Analysis of the Factors Having an Influence on the LC Passive Harmonic Filter Work Efficiency," Energies, MDPI, vol. 15(5), pages 1-51, March.
    13. Lu Chen & Qincheng Chen & Pinhua Rao & Lili Yan & Alghashm Shakib & Guoqing Shen, 2018. "Formulating and Optimizing a Novel Biochar-Based Fertilizer for Simultaneous Slow-Release of Nitrogen and Immobilization of Cadmium," Sustainability, MDPI, vol. 10(8), pages 1-14, August.
    14. Biranchi Panda & K. Shankhwar & Akhil Garg & M. M. Savalani, 2019. "Evaluation of genetic programming-based models for simulating bead dimensions in wire and arc additive manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 809-820, February.
    15. Hasheminasab, M. & Kermani, M.J. & Nourazar, S.S. & Khodsiani, M.H., 2020. "A novel experimental based statistical study for water management in proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 264(C).
    16. Zahedi, Ali Reza & Mirnezami, Seyed Abolfazl, 2020. "Experimental analysis of biomass to biodiesel conversion using a novel renewable combined cycle system," Renewable Energy, Elsevier, vol. 162(C), pages 1177-1194.
    17. Ahmad Abbaszadeh-Mayvan & Barat Ghobadian & Gholamhassan Najafi & Talal Yusaf, 2018. "Intensification of Continuous Biodiesel Production from Waste Cooking Oils Using Shockwave Power Reactor: Process Evaluation and Optimization through Response Surface Methodology (RSM)," Energies, MDPI, vol. 11(10), pages 1-13, October.
    18. Walid Yeddes & Ines Ouerghemmi & Majdi Hammami & Hamza Gadhoumi & Taycir Grati Affes & Salma Nait Mohamed & Wissem Aidi-Wannes & Dorota Witrowa-Rajchert & Moufida Saidani-Tounsi & Małgorzata Nowacka, 2022. "Optimizing the Method of Rosemary Essential Oils Extraction by Using Response Surface Methodology (RSM)-Characterization and Toxicological Assessment," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    19. Esther Unyime Etim, 2019. "Removal of Methyl Blue Dye from Aqueous Solution by Adsorption unto Ground Nut Waste," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 15(3), pages 11365-11371, March.
    20. de Oliveira, Lucas Guedes & Aquila, Giancarlo & Balestrassi, Pedro Paulo & de Paiva, Anderson Paulo & de Queiroz, Anderson Rodrigo & de Oliveira Pamplona, Edson & Camatta, Ulisses Pessin, 2020. "Evaluating economic feasibility and maximization of social welfare of photovoltaic projects developed for the Brazilian northeastern coast: An attribute agreement analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).

    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:13:p:7506-:d:588982. 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.