Optimization of Calcined Bentonite Utilization In Cement Concrete Using Response Surface Methodology
Citation
MLA Style: M. Achyutha Kumar Reddy, V. Ranga Rao, Veerendrakumar C Khed "Optimization of Calcined Bentonite Utilization In Cement Concrete Using Response Surface Methodology" International Journal of Engineering Trends and Technology 69.3(2021):172-179.
APA Style:M. Achyutha Kumar Reddy, V. Ranga Rao, Veerendrakumar C Khed. Optimization of Calcined Bentonite Utilization In Cement Concrete Using Response Surface Methodology International Journal of Engineering Trends and Technology, 69(3),172-179.
Abstract
Finding an alternative to the pozzolanic materials developed from wastes from industries was needed as of its unattainability when the industries were shut down forever. This paper aims at optimization of calcined bentonite utilization in concrete using Response Surface Methodology (RSM). The microstructure of calcined bentonite was analyzed through SEM and XRD. The calcined bentonite replacement made with cement varied from 0% to 30% at an interval of 5% in concrete. Compressive strength split tensile strength, flexural strength, and rapid chloride ion penetration of tests were carried out to determine the strength and durability of calcined bentonite incorporated concrete. Specimens were cast and tested to failure for all compositions of mixes for curing periods of 7,28, and 90 days. The modeling and optimization were carried out using Design-Expert software. The comparison was made for the performance of bentonite blended concrete with conventional concrete in terms of strength and durability. 5 percentage of bentonite incorporated concrete shown better performed among all mixes for both strength and durability of concrete. The models created from RSM are significant in all the factors considered. The optimum solution was obtained by 2.09 % of calcined bentonite substitution after 63.91 days of curing with 1.00 desirability.
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Keywords
Calcined Bentonite, Compressive Strength, Rapid chloride penetration, Response Surface Methodology, Optimization.