Concrete is the most widely used building material, but it is also a recognized pollutant, causing significant issues for sustainability in terms of resource depletion, energy use, and greenhouse gas emissions. As a result, efforts should be concentrated on reducing concrete’s environmental consequences in order to increase its long-term viability. In order to design environmentally friendly concrete mixtures, this research intended to create a prediction model for the compressive strength of those mixtures. The concrete mixtures that were used in this study to build our proposed prediction model are concrete mixtures that contain both recycled aggregate concrete (RAC) and ground granulated blast-furnace slag (GGBFS). A white-box machine learning model known as multivariate polynomial regression (MPR) was developed to predict the compressive strength of eco-friendly concrete. The model was compared with the other two machine learning models, where one is also a white-box machine learning model, namely linear regression (LR), and the other is the black-box machine learning model, which is a support vector machine (SVM). The newly suggested model shows robust estimation capabilities and outperforms the other two models in terms of R² (coefficient of determination) and RMSE (root mean absolute error) measurements.

The idea of the research revolves around the use of by-products of industries (cement kiln dust, fly ash) and their consumption in production of a binder using in manufacture of sustainable concrete with good specifications that exceed the specifications of Portland cement concrete. On the other hand, reducing the manpower, using equipment and tools in casting or compacting of concrete is another factor of sustainability. In this paper, the possibility of using cement kiln dust (CKD) as a percentage of fly ash in the production of alkali activated self-compacting concrete (AASCC) and its effect on the fresh properties, compressive and splitting tensile strength of the resulting concrete was studied., It was observed that the replacement ratios of cement kiln dust CKD instead of fly ash did not affect the workability properties for resulting concrete, where the proportion of (10%) of CKD replacement caused increase in compressive and tensile strengths about 5%, while, (20, 30)% caused decrease in the compressive and splitting tensile strengths about (30, 44)% respectively.