Keywords : Reinforced Concrete Beam

Modeling of ultimate load for R.C. beams strengthened with Carbon FRP using artificial neural networks

Dr. Salim T.Yousif; Majid A. AL- Jurmaa; Majid A. AL- Jurmaa

Al-Rafidain Engineering Journal (AREJ), 2010, Volume 18, Issue 6, Pages 28-41
DOI: 10.33899/rengj.2010.34813


The use of carbon fiber reinforced composite materials is an accepted technology that is being used in practice to strengthen existing reinforced concrete (R/C) elements. An artificial neural network (ANN) model was developed using past experimental data on flexural failure of R/C beams strengthened by carbon FRP. The input parameters cover the carbon sheet properties, beam geometrical properties and reinforcement properties; the corresponding output is the ultimate load capacity. The ANN prediction and the measured experimental values are compared with load prediction of ACI440.2R-02 formulas. A sensitivity study of parameters that affect ultimate load of R/C beams strengthened by carbon FRP is carried out. It is concluded that ANN can predict, to a good degree of accuracy, the ultimate load capacity of R/C beams strengthened by carbon FRP and it is a viable tool to carry out parametric study of flexural behavior of R/C beams strengthened by carbon FRP.

Keywords: carbon FRP, Reinforced Concrete Beam, Ultimate Load, and Neural Network