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| Predicting the Compressive Strength of Blended Concrete at Different Replacement Levels and Curing Time Using Regression Model Method |
Maxwell I. Chikwue, Reuben N. Okparanma, Josiah M. Ayotamuno, Asinyetogha H. Igoni
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Abstract:
Compressive strength of concretes are one of the prerequisite in the engineering design of appropriate cost efficient load bearing concrete structures such as beams, columns and slabs. Due to the limited or high cost of construction materials, there are needs to be conscious not to be wasteful. This study attempts to develop a predictive model equation describing the compressive strengths of blended concretes using treated drill cuttings. Regression analysis based on the least square regression method was used to obtain the functional relationship between the compressive strength of the blended concrete and the independent variables such as curing time and percentage replacement levels. The developed model was validated with the experimental data results. A high coefficient of determination R2 values in the range of 0.658 to 1.000 and a low Root Mean Square Error (RMSE) in the range of 0.0160 to 2.6917 between the predicted and experimental compressive strength values showed that the model is good. Hence, the obtained predictive model is appropriate for determining the compressive strength requirements of the blended concrete up to approximately 82.9%
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