Prediction and optimization of self-compacting geopolymer concrete with and without steel fibres using response surface methodology
摘要
This study uses statistical modelling and Response Surface Methodology (RSM) to evaluate the design, optimisation, and performance evaluation of Fly Ash-GGBS-based Self-Compacting Geopolymer Concrete (SCGPC), both with and without steel fibres. The self-compatibility requirements were considered when creating mixtures in compliance with EFNARC guidelines. Three types of concrete were made: conventional self-compacting concrete (SCC), self-compacting geopolymer fibre-reinforced concrete (SCGPFRC) with varying percentages of steel fibre, and self-compacting concrete using fly ash and GGBS as binders. Both fresh and hardened properties were evaluated, and the material’s durability was determined through abrasion resistance testing. RSM was used in conjunction with a quadratic model to explore the effect of input variables on compressive, flexural, and split tensile strengths. Although the model’s prediction dependability was restricted, it had appropriate precision. When compared to the SCC and SCGPFRC processes, the SCGPC demonstrated significantly improved flowability and passing ability. The addition of steel fibres resulted in an increase in flexural and split tensile strengths of 16.23% and 41.90%, respectively, at an optimal fibre content of 1.65% (SCGPFRC2), despite the fact that compressive strength decreased somewhat in SCGPC compared to SCC. Despite the fact that the statistical model’s prediction accuracy varies slightly, the experimental results show that SCGPFRC has excellent mechanical performance and durability, establishing it as an environmentally friendly and high-performing material for structural applications.