Effects of Coarse Aggregates Gradings on the Properties of Concrete
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Coarse aggregates gradings have varying effects on the properties of concrete. Coarse aggregates of sizes 10mm, 20mm and 25mm were used for this study. Sieve analysis was conducted on these aggregates. Their coefficients of curvature (Cc) ranged between 1.01 and 1.19, while the coefficients of uniformity (Cu) ranged between 1.24 and 1.73, showing that they are all uniformly graded. 10mm and 25mm coarse aggregates were mixed in various proportions to produce five different concrete mixes (concrete C1, C2, C3, C4 and C5). Concrete C6 was produced with 100% 20mm and was used as a check. Slump test was performed for each mixture, C1 gave the highest slump height of 88mm. Compressive strengths of the cast concrete cubes were determined after 7- and 28-days curing periods. C4 gave maximum compressive strength of 26.33N/mm2 at 28 days. Increase in the percentages of 25mm aggregates resulted in higher compressive strength and decreased workability.
Barritt, C. M. H. (1984). Advanced Building Construction Vol. I, 2nd Edition, J. W. Arrowsmith Ltd, Bristol.
Abdullahi, M. (2012). Effect of aggregate type on compressive strength of concrete. International journal of civil and structural engineering; Volume 2, No 3; Pg. 791 – 800.
Hassan, K., Reid, J. M., & Al-Kuwari, M. B. (2015). Use of recycled and secondary aggregates in Qatar - Guidance document.
Aginam C., Chidolue C., and Nwakire C. (2013). Investigating the effects of coarse aggregates types on the compressive strength of concrete. International Journal of Engineering 3(4):1140-1144.
Jimoh and Awe S. S. (2007). A study on the influence of aggregate size and type on the compressive strength of concrete. Department of civil Engineering, University of Ilorin, Nigeria. Journal of Research Information in Civil Engineering, Vol. 4 p. 02.
Woode, A., Amoah, D. K., Aguba, I. A., & Ballow, P. (2015). The effect of maximum coarse aggregate size on the compressive strength of concrete produced in Ghana. Civil and Environmental Research, 7, 7.
Neville, A. M. (1995). Properties of Concrete, 4th Edition. Addisson Wesley Longman, England.
Lafrenz, J. (1997). Aggregate grading control for PCC pavements improving constructability of concrete pavements by assuring consistency of mixes. Austin, Texas: Fifth Annual International Center for Aggregates Research Symposium.
Neville, A., & Brooks, J. (2010). Concrete Technology (2nd.). London: Prentice Hall.
Donza, H., Cabrera, O., & Irassar, E. (2002). High strength concrete with different fine aggregate. Cement and Concrete Research. 32 (11), 17551761.
Onyelowe K. C. and Shakeri J. (2021): Intelligent prediction of coefficients of curvature and uniformity of hybrid cement modified saturated soil with NQF inclusion. Clear Engineering and Technology 4 (2021) 100152; Pg.1-16.
Hoang N. and Pham A. (2016). Estimating concrete workability based on slump test with least squares support vector regression. Journal of Construction Engineering. https://doi.org/10.1155/2016/5089683
Yeh I. C. (2007). Modeling slump flow of concrete using second-order regressions and artificial neural networks. Cement and Concrete Composites, vol. 29, no. 6, pp. 474–480.
Chine W.-H., Hsu H.-H., Chen L., Wang T.-S., and Chiu C.-H. (2010). Modeling slump of concrete using the artificial neural networks. Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence (AICI '10), pp. 236–239, Sanya, China.
Chandwani V., Agrawal V., and Nagar R. (2015). Modeling slump of ready-mix concrete using genetic algorithms assisted training of Artificial Neural Networks. Expert Systems with Applications, vol. 42, no. 2, pp. 885–893.
Chandwani V., Agrawal V., and Nagar R. (2014). Modeling slump of ready-mix concrete using genetically evolved artificial neural networks. Advances in Artificial Neural Systems; vol. 2014, Article ID 629137, 9 pages.
Rahman S. (2020). Analysis on compressive strength of concrete using different sources of fine aggregates. Proceedings of 2nd International Conference on Research and Innovation in Civil Engineering (ICRICE).