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Statistical Approach for the Design of Structural Self-Compacting Concrete with Fine Recycled Concrete Aggregate

Author

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  • Víctor Revilla-Cuesta

    (Department of Civil Engineering, University of Burgos, 09001 Burgos, Spain)

  • Marta Skaf

    (Department of Construction, University of Burgos, 09001 Burgos, Spain)

  • Ana B. Espinosa

    (Department of Construction, University of Burgos, 09001 Burgos, Spain)

  • Amaia Santamaría

    (Department of Mechanical Engineering, University of the Basque Country, 48013 Bilbao, Spain)

  • Vanesa Ortega-López

    (Department of Civil Engineering, University of Burgos, 09001 Burgos, Spain)

Abstract

The compressive strength of recycled concrete is acknowledged to be largely conditioned by the incorporation ratio of Recycled Concrete Aggregate (RCA), although that ratio needs to be carefully assessed to optimize the design of structural applications. In this study, Self-Compacting Concrete (SCC) mixes containing 100% coarse RCA and variable amounts, between 0% and 100%, of fine RCA were manufactured and their compressive strengths were tested in the laboratory for a statistical analysis of their strength variations, which exhibited robustness and normality according to the common statistical procedures. The results of the confidence intervals, the one-factor ANalysis Of VAriance (ANOVA), and the Kruskal–Wallis test showed that an increase in fine RCA content did not necessarily result in a significant decrease in strength, although the addition of fine RCA delayed the development of the final strength. The statistical models presented in this research can be used to define the optimum incorporation ratio that would produce the highest compressive strength. Furthermore, the multiple regression models offered accurate estimations of compressive strength, considering the interaction between the incorporation ratio of fine RCA and the curing age of concrete that the two-factor ANOVA revealed. Lastly, the probability distribution predictions, obtained through a log-likelihood analysis, fitted the results better than the predictions based on current standards, which clearly underestimated the compressive strength of SCC manufactured with fine RCA and require adjustment to take full advantage of these recycled materials. This analysis could be carried out on any type of waste and concrete, which would allow one to evaluate the same aspects as in this research and ensure that the use of recycled concrete maximizes both sustainability and strength.

Suggested Citation

  • Víctor Revilla-Cuesta & Marta Skaf & Ana B. Espinosa & Amaia Santamaría & Vanesa Ortega-López, 2020. "Statistical Approach for the Design of Structural Self-Compacting Concrete with Fine Recycled Concrete Aggregate," Mathematics, MDPI, vol. 8(12), pages 1-24, December.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:12:p:2190-:d:459096
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    References listed on IDEAS

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    1. Sheikh Imran Ishrat & Zahid Akhtar Khan & Arshad Noor Siddiquee & Irfan Anjum Badruddin & Ali Algahtani & Shakeel Javaid & Rajan Gupta, 2019. "Optimising Parameters for Expanded Polystyrene Based Pod Production Using Taguchi Method," Mathematics, MDPI, vol. 7(9), pages 1-17, September.
    2. Weizhang Liang & Bing Dai & Guoyan Zhao & Hao Wu, 2019. "Assessing the Performance of Green Mines via a Hesitant Fuzzy ORESTE–QUALIFLEX Method," Mathematics, MDPI, vol. 7(9), pages 1-19, August.
    3. Yuan, Hongping & Lu, Weisheng & Jianli Hao, Jane, 2013. "The evolution of construction waste sorting on-site," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 483-490.
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