Adaptive neuro-fuzzy model for performance evaluation of RC T-beams with externally bonded GFRP reinforcement

被引：0

作者：

Saathappan, V. R. A. ^{[1
,2
]}

Raghunath, P. N. ^{[1
]}

Suguna, K. ^{[1
]}

机构：

[1] Anamalai Univ, Dept Civil & Struct Engn, Annamalainagar 608002, Tamil Nadu, India

[2] Adhiparasakthi Engn Coll, Dept Civil Enginering, Melmaruvathur, India

来源：

JOURNAL OF REINFORCED PLASTICS AND COMPOSITES | 2011年 / 30卷 / 24期

关键词：

GFRP; strength; ductility; ANFIS; MATLAB; CFRP;

D O I：

10.1177/0731684408081448

中图分类号：

TB33 [复合材料];

学科分类号：

摘要：

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.

引用

页码：2015 / 2023

页数：9

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