Design and Optimization of Self-Healing Concrete Mix Proportions Using MATLAB

Abstract

Concrete is a heterogeneous material made up of several constituents, each imparting unique characteristics that together determine its overall quality. Achieving desired properties like workability, strength, and durability requires a systematic approach known as concrete mix design, which involves selecting suitable materials and determining their proper proportions. Accurate proportioning not only enhances performance but also helps in reducing construction costs.

The mix design for self-healing concrete follows the provisions of IS 10262:2019. However, performing this process manually is often tedious and prone to errors because it involves interpreting data from multiple tables and performing interpolations to derive intermediate values. Such manual calculations increase the likelihood of inaccuracies.

To address these challenges and improve efficiency, a computer-aided mix design program has been developed. This software cross-verifies results obtained from manual methods, ensuring consistency and precision. The main goal of this project is to design a reliable computational tool capable of quickly generating accurate mix proportions for self-healing concrete that integrates materials like Alccofine and nylon fibers as partial cement replacements, along with an additional crystalline admixture to enhance the self-healing capability