Kumator Taku - Department of Civil Engineering, College of Engineering, Joseph Saawuan Tarka University Makurdi, Nigeria.
Yusuv D. Amartey - Department of Civil Engineering, Ahmadu Bello University Zaria, Nigeria.
Stephen P. Ejeh - Department of Civil Engineering, Ahmadu Bello University Zaria, Nigeria.
Adamu Lawan - Department of Civil Engineering, Ahmadu Bello University Zaria, Nigeria.

The face of concreting has been revolutionized with the development of self-compacting concrete, the introduction of Microbial Induced Calcite Precipitation (MICP) in concrete as well as the use of secondary cementitious materials in concrete, as it helps to improve the pore characterization of the concrete by the filling of the pore spaces and hence enhance its porosity and durability. The use of these revolutionary concrete however requires the optimization of the constituents and/or additives to concrete in order to maximize the properties thereof. There is thus a need to arrive at optimal materials quantities that can maximize the porosity characterization of the concrete without recourse to many trial and error experimentations that are both time and resources consuming. The application of modelling tools in concrete technology aids in the optimization of concrete constituents for optimal self-compacting concrete performance. In this research linear optimization models for predicting the water absorption and sorptivity of the Bio- self-compacting concrete incorporating sporosarina Pasteurii at different bacterial cell density and nutrient content with respect to age of concrete were developed for these concrete properties at ۷ and ۲۸ days with the bacterial concentration and calcium calcite content as the independent variables and water absorption and sorptivity as dependent variables; and the developed models validated using experimental data in DataFit Software. Results obtained showed that the developed linear models which took the quadratic form y(x)=a_۱+a_۲ x+a_۳ x^۲+⋯+a_n x^(n-۱) were adequate for the prediction and optimization of the water absorption and sorptivity of the bio- self-compacting concrete.

DataFit Software, Model validation, Permeation properties, Self-Compacting Concrete, Sporosarcina pasteurii