کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
246374 | 502364 | 2015 | 10 صفحه PDF | دانلود رایگان |
• 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.
Journal: Automation in Construction - Volume 57, September 2015, Pages 146–155