Use a Neural Networks to Estimate the Load-Deflection Behavior of Polymeric Reinforced Concrete Beams
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Abstract
In this study, an artificial neural network was formed to estimate the load- deflection curve behavior of simply supported beams with polymer reinforcement. Available actual (experimental) values for several beams from previous studies were used to construct a neural network model.
The results obtained from this network were compared with the actual values and with the specifications of the American Code ACI 440.1 R and it was found that the values obtained from the neural network are very close to the laboratory values and present more accurate results than the values obtained from the equations of the American Code, where the neural results were more compatible with the actual study curves with a greater degree compared to what the American code equations estimated.