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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.24 No.5
- 발행연도
- 2019.1
- 수록면
- 469 - 488 (20page)
이용수
초록· 키워드
오류제보하기
In this research study, the artificial neural networks approach is used to estimate the ultimate shear capacity of reinforced concrete beams with transverse reinforcement. More specifically, surrogate approaches, such as artificial neural network models, have been examined for predicting the shear capacity of concrete beams, based on experimental test results available in the pertinent literature. The comparison of the predicted values with the corresponding experimental ones, as well as with available formulas from previous research studies or code provisions highlight the ability of artificial neural networks to evaluate the shear capacity of reinforced concrete beams in a trustworthy and effective manner. Furthermore, for the first time, the (quantitative) values of weights for the proposed neural network model, are provided, so that the proposed model can be readily implemented in a spreadsheet and accessible to everyone interested in the procedure of simulation.
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참고문헌 (81)
참고문헌 신청
2015 / ACI Committee 318, Building Code Requirements for Reinforced Concrete, ACI 318M-14 and Commentary-ACI 318RM-14 / American Concrete Institute
Adeli, H. / 2001 / Neural networks in civil engineering : 1989-2000 / Compu. Aid. Civil Infrastr Eng 16(2):126~142
Akkurt, S. / 2004 / Fuzzy logic model for the prediction of cement compressive strength / Cement Concrete Res 34(8):1429~1433
Amani, J. / 2012 / Prediction of shear strength of reinforced concrete beams using adaptive neuro-fuzzy inference system and artificial neural network / Scientia Iranica 19(2):242~248
Angelakos, D. / 2001 / Effect of concrete strength and minimum stirrups on shear strength of large members / ACI Struct. J 98(3):290~300
Adeli, H. / 2001 / Neural networks in civil engineering : 1989-2000 / Compu. Aid. Civil Infrastr Eng 16(2):126~142
Akkurt, S. / 2004 / Fuzzy logic model for the prediction of cement compressive strength / Cement Concrete Res 34(8):1429~1433
Amani, J. / 2012 / Prediction of shear strength of reinforced concrete beams using adaptive neuro-fuzzy inference system and artificial neural network / Scientia Iranica 19(2):242~248
Angelakos, D. / 2001 / Effect of concrete strength and minimum stirrups on shear strength of large members / ACI Struct. J 98(3):290~300
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