Open AccessNEW NONDESTRUCTIVE WAY OF IDENTIFYING THE VALUES OF PULL-OFF ADHESION BETWEEN CONCRETE LAYERS IN FLOORS
Author(s) -
Łukasz Sadowski,
Jerzy Hoła
Publication year - 2014
Publication title -
journal of civil engineering and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.529
H-Index - 47
eISSN - 1822-3605
pISSN - 1392-3730
DOI - 10.3846/13923730.2014.897642
Subject(s) - nondestructive testing , materials science , surface roughness , artificial neural network , surface finish , adhesion , layer (electronics) , structural engineering , surface (topology) , acoustics , computer science , composite material , engineering , artificial intelligence , geometry , medicine , mathematics , physics , radiology
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.