| Computers and Concrete Volume 16, Number 3, September 2015, pages 399-414 DOI: http://dx.doi.org/10.12989/.2015...399 | |
Prediction of curvature ductility factor for FRP strengthened RHSC beams using ANFIS and regression models | |
H. Ebrahimpour Komleh and A.A. Maghsoudi
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| Abstract [Buy Article] | |
| Nowadays, fiber reinforced polymer (FRP) composites are widely used for rehabilitation, repair and strengthening of reinforced concrete (RC) structures. Also, recent advances in concrete technology have led to the production of high strength concrete, HSC. Such concrete due to its very high compression strength is less ductile; so in seismic areas, ductility is an important factor in design of HSC members (especially FRP strengthened members) under flexure. In this study, the Adaptive Neuro-Fuzzy Inference System (ANFIS) and multiple regression analysis are used to predict the curvature ductility factor of FRP strengthened reinforced HSC (RHSC) beams. Also, the effects of concrete strength, steel reinforcement ratio and externally reinforcement (FRP) stiffness on the complete moment-curvature behavior and the curvature ductility factor of the FRP strengthened RHSC beams are evaluated using the analytical approach. Results indicate that the predictions of ANFIS and multiple regression models for the curvature ductility factor are accurate to within -0.22% and 1.87% error for practical applications respectively. Finally, the effects of height to wide ratio (h/b) of the cross section on the proposed models are investigated. | |
| Key Words | |
| high strength concrete; FRP composites; multiple regression analysis; ANFIS; ductility | |
| Address | |
| H. Ebrahimpour Komleh and A.A. Maghsoudi: Civil Engineering Department, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran | |
