MIX DESIGN OF SELF HEALING CONCRETE USING MATLAB

Abstract

Concrete is a complex material composed of various components, each contributing distinct properties
that collectively influence its quality. Achieving the desired characteristics such as workability, strength, and
durability involves a meticulous process known as concrete mix design. This process entails selecting the
appropriate ingredients and determining their proportions. By accurately determining the right quantities of these
materials, construction costs can be minimized while ensuring optimal performance. The mix design for selfhealing
concrete adheres to the guidelines outlined in IS 10262:2019. However, designing concrete mixes manually
can be challenging due to the multitude of processes involved. It requires careful analysis of data presented in tables,
often necessitating interpolations to obtain intermediate values. Consequently, there's a risk of human error creeping
in during these calculations. To mitigate this risk and streamline the process, a computer-aided program has been
developed. This program cross-checks values with manual calculations, ensuring accuracy and reliability. The
primary objective of this project is to create a tool capable of producing precise results efficiently. It aims to predict
the optimum mix proportion for self-healing concrete incorporating various components such as Alccofine and
nylon fibers as partial replacements for cement, along with an additional crystalline admixture