Abstract
The effect of GFRP laminates on the performance of reinforced concrete T-Beams having different internal steel reinforcement ratios was investigated. The parameters of investigation included yield load, ultimate load, yield deflection, ultimate deflection, maximum crack width, deflection ductility and energy ductility. An adaptive Neuro-fuzzy based model was generated to predict the performance characteristics taking percentage of steel reinforcement, thickness of GFRP and the type of fiber used in GFRP as parameters.
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