RADAR ASSESSMENT OF STRUCTURAL CONCRETE USING NEURAL NETWORKS

An assessment of the capability of artificial neural networks to inter pret radar images of reinforced concrete is presented. The capability of three-layer, fully connected networks to detect the presence of a b ar, the size of a bar, and the depth of a bar is examined. The study d emonstrates that the use of a neural network approach to interpret com plex sub-surface radar results of embedded reinforcing bars is promisi ng. The neural network approach is successful in locating reinforcing bars over a range of embedment depths on almost all occasions. In addi tion it is shown to be possible to place each bar into a depth categor y with a high degree of success.