Predictive modelling of concrete mix proportions using multiple linear regression and IRC 44/ IS 10262 standards.

This study explores the comparative analysis of high-strength concrete mix proportioning, incorporating Recycled Concrete Materials (RCM) through a combination of Multiple Linear Regression (MLR) models and the guidelines of the Indian Roads Congress (IRC 44) and IS 10262 standards. The primary objective is to evaluate and optimize the mix proportions for high-strength concrete while analysing the impact of varying proportions of RCM on mechanical performance, durability, and overall structural integrity. The research employs MLR to establish mathematical relationships between concrete mix variables (such as cement content, water-cement ratio, and admixtures) and performance characteristics like compressive strength, flexural strength, modulus of elasticity, and durability indicators. These relationships help to predict optimal mix designs that balance material efficiency with high-strength performance. A detailed comparison is conducted between the performance of concrete mixes incorporating RCM and conventional mixes, ensuring that the mixes meet or exceed the performance standards outlined by IRC 44. Key parameters such as load-bearing capacity, fatigue resistance, and surface distress are analysed in relation to concrete containing RCM, assessing the viability of RCM in achieving comparable or superior performance to traditional high-strength concrete. The findings demonstrate that MLR models can be effectively used to optimize high-strength concrete mix designs, reducing material usage, particularly cement, while ensuring compliance with IRC 44 standards for safety and durability. This research provides a comprehensive framework for incorporating RCM into high-strength concrete mixes, promoting sustainable and resilient infrastructure. By aligning with IRC guidelines and optimizing mix proportions through MLR, the study offers a pathway to develop more sustainable construction practices without compromising structural performance.