Neural network prognostic model for RC beams strengthened with CFRP strips

Lazarevska Marijana,Samardzioska Todorka,Trombeva-Gavriloska Ana,Knezevic Milos,Cvetkovska Meri

doi:10.5937/jaes10-1661

Abstract

Improper execution of bonding of FRP plates to the RC beam can result into appearance of zones where the bond is substantially weaker, and air pockets are present. This paper presents an attempt to model the weak bond zone and its influence on the global response of the externally CFRP strengthened RC beam. A numerical displacement-based fibber model was used for the prediction of the response of RC beams externally strengthened with CFRP. Also, using the concepts of artificial neural networks and the results of the performed numerical analyses, another prediction model has been made. Both models generated excellent results and some of them will be presented further below in this paper.

Highlights

Performance of the materials used in the contemporary structures can significantly change as a result of change in the environmental conditions and the increasing of the loads, which were not taken into account in the design process
Another objective of the research presented in this paper, was to build a prognostic model which could generate accurate outputs for the response of RC beams externally strengthened with CFRP
In order to build a neural network’s prognostic model which could generate accurate outputs for the response of RC beams externally strengthened with CFRP, the results from the numerical analyses carried out in [6] were used as input data

Summary

NEURAL NETWORK PROGNOSTIC MODEL FOR RC BEAMS STRENGTHENED WITH CFRP STRIPS

MSc Marijana Lazarevska* University of Skopje, Faculty of Civil Engineering, Skopje, Macedonia. Dr Todorka Samardžioska University of Skopje, Faculty of Civil Engineering, Skopje, Macedonia. Dr Meri Cvetkovska University of Skopje, Faculty of Civil Engineering, Skopje, Macedonia. This paper presents an attempt to model the weak bond zone and its influence on the global response of the externally CFRP strengthened RC beam. A numerical displacement-based fibber model was used for the prediction of the response of RC beams externally strengthened with CFRP. Using the concepts of artificial neural networks and the results of the performed numerical analyses, another prediction model has been made. Both models generated excellent results and some of them will be presented further below in this paper

INTRODUCTION

ANALYZED CASE

Numerical formulation of the bond layer

RESULTS AND DISCUSSION

CONCLUSIONS