PROGNOZNI MODEL NEURONSKIH MREŽA ZA AB GREDE OJAČANE CFRP TRAKAMA

Marijana Lazarevska; Ana-Trombeva Gavrilovska; Miloš Knežević; Todorka Samardžioska; Meri Cvetkovska

doi:10.5937/jaes10-1661

Marijana Lazarevska Građevinski fakultet, Univerzitet u Skoplju
Ana-Trombeva Gavrilovska Građevinski fakultet, Univerzitet u Skoplju
Miloš Knežević Građevinski fakultet, Univerzitet u Podgorici
Todorka Samardžioska Građevinski fakultet, Univerzitet u Skoplju
Meri Cvetkovska Građevinski fakultet, Univerzitet u Skoplju

DOI: https://doi.org/10.5937/jaes10-1661

Keywords: prognostication, Models, discontinuous bond, strengthening, RC beam, neural network, CFRP,

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 fiber 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.

Key words

CFRP, neural network, RC beam, strengthening, discontinuous bond.

NEURAL NETWORK PROGNOSTIC MODEL FOR RC BEAMS STRENGTHENED WITH CFRP STRIPS

Abstract