Relationship estimation of hardened Concrete properties using SPSS for modified concrete with sustainable materials

Abstract The aim of this study is to investigate the potential of quarry dust and waste plastic as replacements for conventional sand in concrete, with a focus on sustainability. Sustainable utilization involves maximizing the effectiveness of quarry dust while minimizing environmental impact. Concrete mixes were prepared using ordinary river sand and varying percentages of quarry dust in combination with waste plastic. Notably, the inclusion of quarry dust with waste plastic significantly improved the concrete's strength. Regression analysis, conducted using SPSS software, was employed to predict the compressive strength of the concrete at different curing durations (7, 14, 28, and 90 days). The analysis revealed strong correlations between the variables, enabling the development of predictive models. These models were validated, and the results demonstrated that the addition of quarry dust, alongside waste plastic, positively influences the mechanical properties of concrete. Overall, this study highlights the efficacy of SPSS software in analyzing and predicting concrete strength, thus contributing to the advancement of sustainable construction practices.