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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국계산역학회 Computers and Concrete, An International Journal Computers and Concrete, An International Journal Vol.16 No.3
- 발행연도
- 2015.1
- 수록면
- 399 - 414 (16page)
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초록· 키워드
오류제보하기
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.
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참고문헌 (28)
참고문헌 신청
2010 / ACI 363R, State-of-the-art report on high-strength concrete / American Concrete Institute
2008 / ACI 440.2R, Guide for the design and construction of externally bonded FRP systems for strengthening concrete structures / American Concrete Institute
Akbarzadeh, H. / 2010 / Experimental and analytical investigation of reinforced high strength concrete continuous beams strengthened with fiber reinforced polymer / Mater. Design. 31(3):1130~1147
Amini, J. / 2012 / Prediction of shear strength of reinforced concrete beams using adaptive neuro-fuzzy inference system and artificial neural network / Sci. Iran. Trans. A. 19(2):242~248
1994 / CAN3-A23.3, Design of Concrete Structure for Buildings (CAN3-A23.3-M94) / Canadian Standards Association
2008 / ACI 440.2R, Guide for the design and construction of externally bonded FRP systems for strengthening concrete structures / American Concrete Institute
Akbarzadeh, H. / 2010 / Experimental and analytical investigation of reinforced high strength concrete continuous beams strengthened with fiber reinforced polymer / Mater. Design. 31(3):1130~1147
Amini, J. / 2012 / Prediction of shear strength of reinforced concrete beams using adaptive neuro-fuzzy inference system and artificial neural network / Sci. Iran. Trans. A. 19(2):242~248
1994 / CAN3-A23.3, Design of Concrete Structure for Buildings (CAN3-A23.3-M94) / Canadian Standards Association
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