Shear capacity assessment of reinforced concrete deep beams using artificial neural network

Shear strength is increasingly important to design of reinforced concrete structural members. An extensive numerical study was investigated to asses shear capacity of deep reinforced concrete beams subjected to concentrated load. For this purpose effects of section geometries and materials strengths of deep reinforced concrete beam were incorporated. A network consisting of nine inputs developed based artificial neural network to investigate shear capacity of deep reinforced beams as output. Then a comparison was done between the results obtained from artificial neural networks and results of code recommendations. From this comparison it can be found that the presented equation give more exact result than code recommendations.