Development of Mathematical Simulations for the Determination of the Structural Properties of Concrete with Rice Husk Ash (RHA) as a Biocomposite Using Osadebe Second Degree Polynomials

Abstract

Abstract The demand for concrete is increasing in tandem with population growth and urbanization. Cement is an important ingredient in concrete production. Cement is a major contributor to global carbon dioxide emissions during its manufacturing processes. Therefore, sustainable alternatives to normal cement are required for the production of sustainable concrete. Rice husk ash has proven intriguing properties as a sustainable alternative for producing green and eco-friendly concrete. Because the laboratory work needed to assess its properties is both time-consuming and complex, regression models can be effectively used to predict the properties of concrete containing rice husk ash. Using Osadebe's second-degree polynomial equation, a mathematical optimization model for predicting the compressive, tensile, and flexural strengths of RHA concrete was developed in this study. The developed model may be used to compute compressive, tensile, and flexural strengths based on the proportions of four constituents in a given mix. Also, a favourable comparison may be drawn between the model and experimental responses. Furthermore, the statistical analysis summary revealed that the model-predicted values were in good agreement with the experimental values. Lastly, some of the optimized mixes attain strength values that are suitable for use in structural or load-bearing concrete.