Compression Strength Prediction of Mixtures Concrete with Scrap Tire with Neural Network Approach

The compressive strength of mixtures made with scrap tire id presented. In this study, neural network modeling was applied for predicting compressive strength of mixtures containing variable size of tire scrap. This modeling allows avoiding a large number of trial mixtures tests and provides a new alternative for designing new constructive components at lower costs. Results shown that neural model showed an excellent performance and accurate and highly reproducible predictions.