Experimental And Statistical Optimization Of SCC Mix Proportions For Strength And Workability

Abstract

Self-Compacting Concrete (SCC) has significantly advanced construction techniques by offering the ability to flow solely under gravity, effectively filling formwork and navigating through reinforcement without the need for mechanical vibration. Despite its advantages, developing an ideal SCC mix requires careful balancing of flow characteristics, stability, and structural strength. This research adopts an integrated experimental and statistical methodology to refine SCC mix designs with the goal of enhancing both workability and compressive strength. Multiple trial batches were formulated by adjusting key variables such as the water-to-powder ratio, superplasticizer levels, ratios of fine to coarse aggregates, and the inclusion of supplementary cementitious materials. Utilizing Taguchi methods and Response Surface Methodology (RSM), the study systematically assessed the impact of these factors. The optimized mix achieved a slump flow of 700 mm, V-funnel time of 9.2 seconds, and a 28-day compressive strength of 47.5 MPa in lab tests. The findings highlight how statistical optimization can streamline mix development, reducing costs and improving performance for practical SCC applications.