Experimental Investigation of Compressive Strength of Concrete through Conventional Concrete Mixer and Design of Automated Concrete Mixer with Machine Learning

Abstract

Abstract: Various issues with concrete mixing in concrete mixer machines have been observed. Engineers and employees can only make guesses and predictions based on the concrete they can see; they cannot determine the proper mixing of the concrete. However, there are times when the ratio is not kept even when the concrete is correctly mixed. In the difficult, multi-step process known as concrete mix design, we look for the ideal component ratio to produce concrete that functions properly. There are other ways to make concrete mixtures, but the Three Equation Method-based techniques are the most widely used. Compressive strength, which establishes the concrete class, is among the most significant characteristics of concrete. The compact strength that can be predicted is [4]