Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
246374 | Automation in Construction | 2015 | 10 Pages |
•Methodology for the identification of the pull-off adhesion was presented.•Methodology is based on the parameters determined using three NDT methods and ANN.•Parameters of the concrete substrate were obtained by the 3D laser scanning method.•Parameters of the added concrete surface were estimated by the acoustic methods.•Provided example demonstrated that that the methodology is practicable.
This paper presents a methodology for the non-destructive identification of the values of pull-off adhesion between concrete layers in floors on the basis of parameters determined using three non-destructive testing (NDT) methods and artificial neural networks (ANN). The methodology is based on the earlier research by the author. There are three stages in the methodology: stage 1 in which two parameters are determined on the concrete substrate layer surface using the non-destructive 3D laser scanning method and three parameters are determined on the added concrete surface using the acoustic impulse response and impact-echo methods, stage 2 in which an ANN is trained and tested, and stage 3 in which numerical analyses of the results are carried out and the values of pull-off adhesion fc,b are identified. It is shown that the methodology is practicable, as demonstrated by the provided example.