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- Title
Adaptive Neuro-Fuzzy Inference System-Based Modeling for HSC Columns Strengthened with GFRP Wraps Under Compression.
- Authors
Saravanan, J.; Suguna, K.; Raghunath, P. N.
- Abstract
The paper presents the results of a study on the performance of Glass Fiber-Reinforced Polymer (GFRP) wrapped High Strength Concrete (HSC) columns under uniaxial compression. The columns had slenderness ratios of 8, 16, 24 and 32. Three types of wrap materials (chopped strand mat GFRP, unidirectional cloth GFRP, and woven roving GFRP) were used with 3 mm and 5 mm thickness. 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 ductility and energy absorption capacity. Adaptive Neuro-Fuzzy Inference System (ANFIS) modeling was proposed for predicting the performance parameters. A better correlation was observed between the test results and those predicted through the proposed modeling.
- Subjects
GLASS fibers; HIGH strength concrete; COMPRESSION loads; DUCTILITY; CONCRETE; STRUCTURAL engineering
- Publication
IUP Journal of Structural Engineering, 2012, Vol 5, Issue 4, p28
- ISSN
0974-6528
- Publication type
Article