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ANN modeling of pull-off adhesion of concrete layers.
- Source :
-
Advances in Engineering Software (1992) . Nov2015, Vol. 89, p17-27. 11p. - Publication Year :
- 2015
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09659978
- Volume :
- 89
- Database :
- Academic Search Index
- Journal :
- Advances in Engineering Software (1992)
- Publication Type :
- Academic Journal
- Accession number :
- 109161373
- Full Text :
- https://doi.org/10.1016/j.advengsoft.2015.06.013