The increasing demand of cement in construction has raised lots of sustainability concerns. However, the application of agricultural wastes such as coconut shell ash (CSA) as a partial replacement of cement holds great prospects for sustainability in the construction industry. Reliable and rapid model prediction of concrete strength is capable of increasing the pace of construction without compromising the quality control measures.Coconut shells were collected and burnt after which the resulting ash was subjected to fluorescence method of analysis. With the use of a concrete mix design ratio of 1:2:4 and water binder ratio of 0.6, a total of 36 concrete cubes of sizes 150mm x 150mm x 150mm were cast using varying OPC – CSA ratio 100:0, 95:5, 90:10, 80:20. The cubes was cured for 7, 14 and 28 days and thereafter crushed to test the compressive strength. The experimental data was subjected to regression analysis using IBM SPSS Statistics software. The multiple regression model showed that the general form of the equation for the prediction of the compressive strength of concrete from percentage replacement, curing age and density is: Compressive strength of concrete = 0.44 – 0.162 (percentage replacement) + 0.008 (curing age) + 0.006 (density). The result showed that the percentage replacement contributed more to the model followed by the curing age and the density. The experimental result showed that for 20% replacement of cement with CSA, the average compressive strength for 7, 14 and 28 days of curing are 9.80 N/mm2, 11.50 N/mm2 and 13.50 N/mm2. While the corresponding values obtained using the regression model are 9.892 N/mm2, 10.374 N/mm2 and 12. 58 N/mm2. From the above data, it is observed that the experimental results is slightly different from the analyzed results.

Keywords : Sustainability, Regression Model, Concrete, Compressive Strength, Multiple Regression.