NEURAL NETWORK PROGNOSTIC MODEL FOR RC BEAMS STRENGTHENED WITH CFRP STRIPS
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.
Keywords
References
Knezevic M.: “Risk management of civil engineering projects“, Doctoral dissertation, Civil Engineering Faculty of University in Belgrade, Serbia, 2005
Knezevic M. and Radomir Z.: “Neural networks - application for usage of prognostic model of the experimental research for thin reinforced-concrete columns”, scientific research work, Materials and constructions, 2008
Monti, G. and Spacone, E., “Reinforced concrete fibber beam element with bond- slip”, Journal of Structural Engineering, 126, 6, 2000, pp 654-661
Spacone, E., Limkatanyu, S. 2000. “Responses of Reinforced Concrete Members Including Bond-Slip Effects”, ACI Structural Journal, 97, 6, pp 831-839
Taljsten, B., “Strengthening of Beams by Plate Bonding”, Journal of Materials in Civil Engineering, 9, 4, 1997, pp 206-212
Trombeva A., Modeling
of CFRP external strengthening of reinforced concrete structures with the weak
zones in the bond layer, master thesis, University in Ljubljana, Faculty of
Civil and Geodetic Engineering, 2004.