Adaptive Neuro-Fuzzy Inference System Based Modeling for Fibre Reinforced Polymer Jacketed HSC Columns
نویسندگان
چکیده
–The paper presents the results of a study on the performance of Glass Fibre Reinforced Polymer (GFRP) wrapped high strength concrete columns under uni-axial compression. The columns had slenderness ratios of 8, 16, 24 and 32. Three types of wrap materials (Chopped Strand Mat GFRP, Uni-Directional Cloth GFRP and Woven Roving GFRP) were used with 3 mm and 5 mm thicknesses. The columns were tested under monotonic axial compressive loading up to failure. The deflections and axial strain were noted for each load increment. The HSC columns with GFRP wrapping exhibited improved performance in terms of load and deformation capacity. Adaptive Neuro Fuzzy Inference System (ANFIS) modeling has been proposed for predicting the performance parameters. A better correlation has been observed between the test results and those predicted through the proposed modeling.
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