ANN modeling of pull-off adhesion of concrete layers

作者：Sadowski Lukasz^*; Hola Jerzy

来源：Advances in Engineering Software, 2015, 89: 17-27.

DOI：10.1016/j.advengsoft.2015.06.013

• Floors
• Concrete layers
• Pull-off adhesion
• Non-destructive methods
• Artificial neural networks
• Interlayer bond

When making and repairing concrete floors it is vital to properly prepare the interlayer bonding surface. The measure of the bond is the value of pull-off adhesion f(b) experimentally determined in building practice by the semi-destructive (SDT) pull-off method, in this paper it is proposed to assess pull-off adhesion by jointly the optical laser triangulation method and the acoustic impulse response method, using artificial neural networks (ANN), on the basis of a few parameters (independent of top layer thickness) determined by these methods. The proposed non-destructive (NDT) pull-off adhesion assessment method is devoid of the drawbacks and inconveniences of the pull-off method and makes possible the reliable mapping of the adhesion level on the tested surface without local damage to the latter.

• 出版日期2015-11