PREDICTION OF FLEXURAL STRENGTH OF CHIKOKO POZZOLANA BLENDED CEMENT CONCRETE USING OSADEBEâ€™S REGRESSION FUNCTION
Chikoko mud is abundant in the mangrove swamps of the Niger Delta area of Nigeria. Its utilization in concrete production is traceable to its pozzolanic properties. In this paper, a regression model is developed to predict and optimize the flexural strength of chikoko pozzolana blended cement concrete using Osadebeâ€™s regression function. The results obtained from the derived regression model are very close to those obtained from experiment. The model was tested for adequacy using a Fisher test at 5% level of significance and was found to be adequate. A computer program coded in basic language was used to select the mix ratios that would optimize the flexural strength of chikoko pozzolana blended cement concrete. The computer program is user-friendly and can be used to select the mix ratios corresponding to a desired strength value with reasonable accuracy and without waste of time.