Prediction of the Bond Strength of Externally Bonded FRP Sheets Applied to Concrete via Grooves Technique Using Artificial Neural Networks

• DOI: 10.3390/jcs8010030
• Publication Date: 2024-01-12T08:54:34Z
• Authors: Abdelatif Salmi
• Keywords: 02 engineering and technology; 0210 nano-technology

The present study aims to fill a gap in the literature on estimation of bond strength fiber reinforced polymer sheets bonded concrete, via externally reinforcement grooves (EBROG) technique, employing curve-fitting existing datasets and methodology Artificial Neural Networks (ANNs). Therefore, dataset 39 experimental results derived from EBROG technique is collected literature. A mathematical equation for FRP applied concrete was suggested using general regression. proposed compared validated with results. developed ANN model constructed after testing diverse hidden layers neurons find optimal predictions. validation carried out statistical analysis assess model. Furthermore, parametric also performed investigate influence various factors concrete. proves that increases increasing tensile stiffness per width, sheet compressive strength; however, effect Groove’s width depth found be not monotonous.