Prediction of Compressive Strength of Geopolymer Concrete using Artificial Neural Network

Abstract

Geopolymer concrete could be an alternative to ordinary Portland cement concrete. It is sustainable, ecofriendly, durable, and economic concrete. Machine learning methods could an alternatives to determines strength without destruction tests conduction of the mix samples. In this study, to analyse the experimental investigation and prediction of compressive strength using artificial neural network. In experimental analysis, M2 mix got optimum point in the compressive strength among all mixes. ANN model is used to predict the compressive strength of geopolymer concrete. ANN model prediction has negligible errors. So, it can be stated that machine learning methods are capable to predicts the strength of concrete accurately.