Advanced statistical optimization and performance evaluation of self‐compacting geopolymer concrete utilizing industrial by‐products
Naresh Thatikonda, Mainak Mallik, Venkateswara Rao Sarella, Saurabh Dubey
Abstract
Abstract This study optimizes self‐compacting geopolymer concrete (SCGC) by incorporating industrial by‐products, such as fly ash, ground‐granulated blast furnace slag, and rice husk ash (RHA), as sustainable alternatives to conventional binders. The SCGC mixtures were designed with varying binder compositions and activator solutions, and their fresh and hardened properties were systematically evaluated. Workability tests, including slump flow, J‐ring, and V‐funnel tests, were conducted to assess the flowability and stability, while compressive, tensile, and flexural strength tests were performed at 3, 7, and 28 days to evaluate the mechanical performance. Advanced statistical tools, including response surface methodology and analysis of variance, were employed to identify key influencing factors and develop predictive models. The results indicate that an optimal RHA replacement of 5%–10% combined with a silica‐rich activator solution significantly enhances the mechanical properties of SCGC, achieving a 28‐day compressive strength of 55.6 MPa while maintaining excellent workability. The statistical models demonstrated high accuracy in predicting performance trends, validating the experimental findings. This study provides a robust framework for optimizing SCGC mix designs and for advancing sustainable and high‐performance construction materials.