Methods of design of experiment have been implemented for the evaluation of the impact of the inclusion of recycled coarse aggregates (RCA) and rice husk ash (RHA) on strength and other chosen parameters of concrete. A specific general factorial design method, two-way analysis of variance (Anova), has been used for the current exploration considering two key factors – that is, percentage of RCA (0% and 100%) and percentage of RHA (0%, 5%, 10%, 15%, 20%, 25%, 30% and 35%). This approach has been used to assess the effect of these materials on various concrete properties, including 3, 7, 28 and 90 days compressive strength, modulus of elasticity, water absorption, volume of voids and density. The outcomes of the analysis have been presented in the form of Anova table, individual, main effect, contour and interaction plots. The results of the analysis show that the levels of RCA and RHA had a significant effect on the properties of concrete.
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October 2024
Research Article|
October 30 2024
Concrete properties with recycled coarse aggregate and rice husk ash: factorial design study
Rakesh Kumar Patra;
Rakesh Kumar Patra
PhD Research Scholar, Department of Civil Engineering, Indian Institute of Technology Roorkee, Uttarakhand, India (corresponding author: rkp306@gmail.com)
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Bibhuti Bhusan Mukharjee
Bibhuti Bhusan Mukharjee
Associate Professor, Department of Civil Engineering, Biju Patnaik University of Technology Rourkela, Odisha, India
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Publisher: Emerald Publishing
Received:
December 16 2023
Accepted:
July 02 2024
Online ISSN: 1747-6534
Print ISSN: 1747-6526
Emerald Publishing Limited: All rights reserved
2023
Proceedings of the Institution of Civil Engineers - Waste and Resource Management (2024) 177 (4): 169–182.
Article history
Received:
December 16 2023
Accepted:
July 02 2024
Citation
Patra RK, Mukharjee BB (2024), "Concrete properties with recycled coarse aggregate and rice husk ash: factorial design study". Proceedings of the Institution of Civil Engineers - Waste and Resource Management, Vol. 177 No. 4 pp. 169–182, doi: https://doi.org/10.1680/jwarm.23.00044
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