ANN-Based Model to Forecast the Compressive Strength Based on the Properties of Fresh Concrete
摘要
Researchers are working on determining the influence of fresh concrete properties on the characteristics strength and performance of concrete. According to different codes of practices, compressive strength reflects the quality of concrete significantly. In the present work, an artificial neural network model is developed to forecast the strength of concrete based on cement-to-aggregate ratio, water–cement ratio, and workability of the concrete.