The main objective of this study is to optimize the fresh and strength properties of reactive powder concrete incorporated with industrial by-products like ultra-fine ground granulated blast furnace slag as cement substitute and added with coal bottom ash and recycled concrete fines as partial replacement of quartz sand by response surface methodology through design of experiment approach. Totally four responses namely slump, compressive strength (C-28), flexural strength (F-28), and split-tensile strength (S-28) after 28 days of curing period were considered. The statistical study on the reactive powder concrete includes the modeling of regression, normal probability plots, surface plot analysis, and optimization of process variables. The regression models of the considered responses (slump, C-28, F-28, and S-28) were tested. The results obtained from the analysis of variance (ANOVA) and Pareto chart were used to determine the statistical significance of the process variables. The influence of the variables on the responses was studied by means of the surface plot analysis. The optimal proportion of the variables against the responses was obtained through optimization response. The resulted regression equations were in the form of second-order polynomial equation and the prediction of strength properties was found to be in line with the experimental results. The difference of proportion of variance indicated that only 0.43%, 6.42%, 5.15%, and 9.7% of deviations cannot be expressed by the analysis. The ANOVA and Pareto charts represented the high significance and appropriateness of the linear term of slump response and the two-way interaction term of strength responses. The results of the optimization response revealed the optimal proportions of recycled concrete fines and coal bottom ash as 19.15% and 7.02%, respectively
SAKTHIESWARAN N.a?
,
MOORTHY N.b
,
RENISHA M.a
,
CHINNADURAI M.c）
. Optimization of Strength Properties of Reactive Powder Concrete by Response Surface Methodology[J]. Journal of Shanghai Jiaotong University(Science), 2024
, 29(5)
: 900
-908
.
DOI: 10.1007/s12204-023-2612-0
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