Proposed Mix Design of Recycled Concrete Used in Urban Concrete Tables Using Neural Network

The increasing growth of construction and use of concrete tables in urban and inter-city roads have led to the idea of ​​using recycled concrete in urban concrete tables. Therefore, in this research, an attempt was made to investigate the mechanical and economic parameters of using recycled concrete as concrete of urban concrete tables. For this purpose, three types of mixing schemes of natural concrete as control concrete, recycled concrete and recycled fiber concrete including 100% recycled fine-grained and 50% coarse-grained recycled concrete of 7 and 28 days old were tested. Then, the obtained results were compared with national and international regulations and standards in the field of concrete for use in urban tables. In addition, in this paper, the estimation of 28-day compressive strength with the help of neural networks was investigated. The findings showed that recycled concrete and recycled fiber concrete with higher mixing design have higher compressive strength. Furthermore, an almost equal correlation coefficient was observed in the outputs of the 28-day compressive strength test obtained from the artificial neural network and the results of 124 laboratory samples are in good agreement with the results obtained from the neural network.