Prediction of Fresh and Hardened Properties of Concrete Containing Nanostructured Cassava Peel Ash Using Ibearugbulem's Approach

Statistical methods such as Scheffe’s and Osadebe’s models are commonly employed for the optimization of concrete properties. Despite their prediction suitability, attention is drawn to drawback. Ibearugbulem’s model has been developed address these shortcomings. In this study, method was formulate a mathematical strength-optimization nanostructured cassava peel ash (NCPA)-cement composite. The variation 28 days compressive strength initial final setting time NCPA-concrete evaluated. Based on establishment spatial domain each mixture variable, response function expressed multivariable proportions constituent materials. Applying variational approach, within specified optimized. There were 51 observation points. Twenty-six points used remaining twenty-five test adequacy formulated model. odd serial number ones selected formulation even numbers testing Fisher’s statistical tool in analysis calculated value fisher 1.11 lower than 1.94 derived from f-distribution table. This result proved that there no significant difference between laboratory values modeled at 95% confidence level. shows reliable, safe, recommended production.