Developing SonReb models to predict the compressive strength of concrete using different percentage of recycled brick aggregate

This study was conducted to determine the relationship between nondestructive and destructive tests in concrete cubes using different ratios of normal stone recycled brick as coarse aggregates. Variations grade concrete, density, age were considered make model prediction more efficient places where use aggregates is common. Normal grades M20, M25, M30 having density variation by replacing with aggregate, testing strength at 7, 28, 84 days. A regression created artificial neural networks multiple analyses. The showed that developed an network predicted better results. models obtained from experiment compared other provided authors. also effect aggregate modulus concrete.