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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.23 No.1
- 발행연도
- 2019.1
- 수록면
- 49 - 60 (12page)
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초록· 키워드
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In recent years, multiple experimental studies have been performed on using fiber reinforced polymer (FRP) bars in reinforced concrete (RC) structural members. FRP bars provide a new type of reinforcement that avoids the corrosion of traditional steel reinforcement. In this study, predicting the shear strength of RC beams with FRP longitudinal bars using artificial neural networks (ANNs) is investigated as a different approach from the current specific codes. An ANN model was developed using the experimental data of 104 FRP-RC specimens from an existing database in the literature. Seven different input parameters affecting the shear strength of FRP bar reinforced RC beams were selected to create the ANN structure. The most convenient ANN algorithm was determined as traingdx. The results from current codes (ACI440.1R-15 and JSCE) and existing literature in predicting the shear strength of FRP-RC beams were investigated using the identical test data. The study shows that the ANN model produces acceptable predictions for the ultimate shear strength of FRP-RC beams (maximum R2≈0.97). Additionally, the ANN model provides more accurate predictions for the shear capacity than the other computed methods in the ACI440.1R-15, JSCE codes and existing literature for considering different performance parameters.
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참고문헌 (44)
참고문헌 신청
Rizkalla, S. / 2003 / Design recommendations for the use of FRP for reinforcement and strengthening of concrete structures / Prog. Struct. Eng. Mater. -Concrete Constr 1(5):16~28
Rumelhart, D. E. / 1986 / Learning representations by back-propagating errors / Nature 323:533~536
Swamy, N / 1997 / Structural implications of using GFRP bars as concrete reinforcement / Proceedings of the 3rd International Symposium on Nonmetallic (FRP) Reinforcement for Concrete Structures (FRPRCS-3) 2
Tariq, M / 2003 / Shear testing of FRP reinforced concrete without transverse reinforcement / Proceedings of CSCE 2003-Annual Conference
Tezel, G. / 2015 / Monthly evaporation forecasting using artificial neural networks and support vector machines / Theor. Appl. Climatol 124(1-2):69~80
Rumelhart, D. E. / 1986 / Learning representations by back-propagating errors / Nature 323:533~536
Swamy, N / 1997 / Structural implications of using GFRP bars as concrete reinforcement / Proceedings of the 3rd International Symposium on Nonmetallic (FRP) Reinforcement for Concrete Structures (FRPRCS-3) 2
Tariq, M / 2003 / Shear testing of FRP reinforced concrete without transverse reinforcement / Proceedings of CSCE 2003-Annual Conference
Tezel, G. / 2015 / Monthly evaporation forecasting using artificial neural networks and support vector machines / Theor. Appl. Climatol 124(1-2):69~80
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