Prediction of tensile capacity of single adhesive anchors using neural networks

The predictions obtained from the trained ANN showed that the tensile capacity of adhesive anchors is linearly proportional to the embedment depth as suggested by the uniform bond stress model. The effect of the concrete compressive strength on the tensile capacity of adhesive anchors is product dependent. The results indicate that ANNs are a useful technique for predicting the tensile capacity of adhesive anchors.