Prediction of Compressive Strength of Sawdust Ash- Cement Concrete Using Osadebe’s Regression Function
David Ogbonna Onwuka · IOSR Journal of Mechanical and Civil Engineering · 2013
This work aims at developing mathematical model for predicting the compressive strength of sawdust ash -cement concrete based on Osadebe's five component second-degree polynomial.The model was used to optimize the compressive strength of concrete made from, cement, sawdust ash, sand, granites and water.A total of ninety (90) cubes were cast, comprising of three cubes for each mix ratio of a total of thirty (30) mix ratios.The first fifteen (15) were used to determine the coefficients of the response function, while the other fifteen were used to validate the response function.The results from the response function compared favourably with the experimental results.The response function were tested with the statistical student's t-test and found to be adequate at 95% confidence level.With the response function developed in this work, any desired compressive strength of sawdust ash-cement concrete can be predicted from known mix proportions and vice versa.