New nondestructive way of identifying the values of pull-off adhesion between concrete layers in floors

Abstract

This paper presents a new nondestructive way of identifying the values of pull-off adhesion between the concrete layers in concrete floors. It based on the roughness parameters of the base layer surface, using the nondestructive optical technique, and on the floor surface, using the nondestructive acoustic techniques and employing artificial neural networks (ANNs) for this purpose. The new way has a potential for being widely used in practice, whereby it may become possible to employ previously trained ANNs to identify the pull-off adhesion, without impairing the surface of the tested concrete floor.

Keywords

• concrete
• floors
• nondestructive tests
• surface roughness
• acoustic techniques
• artificial neural networks