An Effective Self Compacting Concrete Mix Selection Approach for the Structural Buildings

Abstract

This research aims to develop the optimal mix selection for self-compacting Concrete (SCC) depending on the experimental results. For this scenario, SCC mix design was considered as an optimization problem. So, a novel Redfox-based Concrete Mix Selection (RbCMS) technique was proposed for the optimal mix selection to improve the SCC compressive strength. Initially, the materials were selected such as cement, river sand as fine aggregate and fly ash and silica fume as coarse aggregate. Then, the materials were mixed into suitable proportions. The selected mix proportions of M45 grade are prepared with 0 to 30% mix percentage. Furthermore, the European Federation of National Associations Representing for Concretes (EFNARC) standards was used to mix the fresh Concrete using several tests such as Orimet, U box, L-box. Additionally, optimal mix was tested with several chemical attack tests like chloride and Carbonation in Concrete. Finally, the mix selection was optimized based on the fitness of RbCMS. In contrast, the proposed model was executed in the MATLAB tool with several performance measurements, including compressive strength (CS), split tensile strength and flexural strength. The suggested technique generated outstanding outcomes compared with the existing studies by providing approximate results for the optimal mix selection phenomena.