Adaptive neuro-fuzzy model for performance evaluation of RC T-beams with externally bonded GFRP reinforcement
Source abstract
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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Research context
OpenAlex topics: Structural Behavior of Reinforced Concrete · Innovative concrete reinforcement materials · Structural Response to Dynamic Loads
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Civil and Structural Engineering, Anamalai University, Annamalainagar, India.
Department of Civil Enginering, Adhiparasakthi Engineering College, Melmaruvathur, India.
References (11)
Show source-provided references
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