Regression Modelling of the Mechanical Properties of Sporosarcinal Pasteurii Concrete Using Datafit Software

Hadiza Ali, Ejeh S. P., Ocholi A., Kaura J. M.

Abstract


Sporosarcinal pasteurii concrete (S. Pasteurii concrete) is one of the many sustainable concretes which is yet to attain its full application in the construction industries. It is paramount to obtain optimum quantities of materials that can maximize the mechanical properties of a concrete without going through many trials and error experimentations which are time and resources consuming. The use of statical modelling tools in concrete technology helps in the optimization of the concrete materials for improved concrete performance. This research used Datafit software to model the compressive strength, tensile strength, flexural strength and creep of Sporosarcinal pasteurii Concrete (S. Pasteurii Concrete). The S. Pasteurii organisms were induced into the concrete at a concentration of 0, 1.5 x 108CFU/ml, 6 x108 CFU/ml, 1.2 x 109 CFU/ml, 1.8 x 109 CFU/ml and 2.4 x 109 CFU/ml which correspond to the McFarland Scale of 0, 0.5OD ,2OD, 4OD and 6OD respectively. The bacterial solution and the nutrient content were 5% and 25% of the water required for the concrete mix. The compressive strength, tensile strength flexural strength was obtained at 56days, 28days, 28days and 365days respectively and the results were used for the model development and model validation taking the mechanical properties as the dependent variable (Y) and the curing age and bacterial concentration as independent variable, X1 and X2 respectively. The model performance was evaluated using the coefficient of determination (R2), the probability value (P) and the F ratio (F). The Coefficient of Determination of the compressive strength, tensile strength, flexural strength and compression creep are: 87%, 65%, 83% and 91% respectively, indicating that the goodness of fit of the models are high. The F ratio of the compressive strength, tensile strength, flexural strength and compression creep are: 16,3,6 and 240 respectively, indicating that there is a significant variation between the groups of data. The P Values of the mechanical properties considered in this study lies between 0 and 0.03 which are less than the significance level of 0.05.  Therefore, this indicates that the regression models derived for the prediction of the mechanical properties of S. Pasteurii concrete accurately fits the experimental data.


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