AI-Assisted Geopolymer Concrete Mix Design: A Step Towards Sustainable Construction

The increasing interest in the utilization of Geopolymer Concrete as one of the sustainable alternatives to traditional Portland cement has been driven by its potential to mitigate the carbon footprint and its ability to be synthesized from industrial waste materials. However, the intricacies associated with the design mix process of Geopolymer has been identified as a limiting factor. Thus, in this research, an Artificial Intelligence (AI)-assisted approach for mix design was devised, with the aim of improving the efficiency and precision of the mix design process. The AI model was calibrated utilizing a dataset of experimental Geopolymer Concrete mixes, and subsequently employed to forecast the compressive strength and setting time of newly proposed mix designs. The outcome of the study revealed that the AI-assisted approach significantly enhanced the efficiency of the mix design process and also resulted in more precise predictions of the mechanical properties of the Geopolymer Concrete. Consequently, this study serves as a demonstration of the capability of AI to support sustainable construction by streamlining the process of Geopolymer Concrete mix design.