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L. Sadowski, J. Hola, "Application of an Artificial Neural Network to the Evaluation of Pull-Off Adhesion of Concrete Layers", in , (Editors), "Proceedings of the Fourteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 179, 2013. doi:10.4203/ccp.102.179

Keywords: floors, concrete layers, interlayer bond, pull-off adhesion, non-destructive methods, artificial neural networks.

Summary

The durability of floors is determined by the pull-off adhesion of the top concrete layer to the base concrete layer. Therefore when both making and repairing floors it is vital to properly prepare the interlayer bonding surface. The measure of the inter-layer bond is the value of pull-off adhesion which in building practice is experimentally determined using the semi-nondestructive pull-off method. In this paper it is proposed to assess the pull-off adhesion by means of artificial neural networks on the basis of several parameters determined using two nondestructive test methods: the optical laser triangulation method and the acoustic impulse response method, made independent of top layer thickness.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 102 PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by: Paper 179 Application of an Artificial Neural Network to the Evaluation of Pull-Off Adhesion of Concrete Layers L. Sadowski and J. Hola Institute of Building Engineering, Wroclaw University of Technology, Poland doi:10.4203/ccp.102.179 purchase the full-text of this paper Full Bibliographic Reference for this paper L. Sadowski, J. Hola, "Application of an Artificial Neural Network to the Evaluation of Pull-Off Adhesion of Concrete Layers", in , (Editors), "Proceedings of the Fourteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 179, 2013. doi:10.4203/ccp.102.179 Keywords: floors, concrete layers, interlayer bond, pull-off adhesion, non-destructive methods, artificial neural networks. Summary The durability of floors is determined by the pull-off adhesion of the top concrete layer to the base concrete layer. Therefore when both making and repairing floors it is vital to properly prepare the interlayer bonding surface. The measure of the inter-layer bond is the value of pull-off adhesion which in building practice is experimentally determined using the semi-nondestructive pull-off method. In this paper it is proposed to assess the pull-off adhesion by means of artificial neural networks on the basis of several parameters determined using two nondestructive test methods: the optical laser triangulation method and the acoustic impulse response method, made independent of top layer thickness. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
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