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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.15 No.3
- 발행연도
- 2015.3
- 수록면
- 321 - 335 (15page)
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초록· 키워드
오류제보하기
To be able to understand the behavior of reinforced concrete (RC) members, cross sectional behavior should be known well. Cross sectional behavior can be best evaluated by moment-curvature relationship. On a reinforced concrete cross section moment-curvature relationship can be best determined by both experimentally or numerically with some complicated iteration methods. Making these experiments or iterations manually is very difficult and not practical. The aim of this study is to research the efficiency of Neural Networks (NN) as a more secure and robust method to obtain the moment-curvature relationship of circular RC columns. It is demonstrated that the NN based model is highly successful to determine the moment-curvature relationship of circular reinforced concrete columns.
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참고문헌 (20)
참고문헌 신청
Adeli, H. / 2000 / An adaptive conjugate gradient neural network–wavelet model for traffic incident detection / Comput. Aided Civil Infrastruct. Eng. 15(4):251~260
M. Hakan Arslan / 2012 / Estimation of Curvature and Displacement Ductility in Reinforced Concrete Buildings / KSCE Journal of Civil Engineering 16(5):759~770
Bishop, C. M. / 1995 / Neural Networks for Pattern Recognition / Oxford University Press
Caglar, N. / 2009 / Neural network based approach for determining the shear strength of circular reinforced concrete columns / Constr. Build. Mater. 23:3225~3232
Naci Caglar / 2013 / Neural network based model for seismic assessment of existing RC buildings / Computers and Concrete, An International Journal 12(2):229~241
M. Hakan Arslan / 2012 / Estimation of Curvature and Displacement Ductility in Reinforced Concrete Buildings / KSCE Journal of Civil Engineering 16(5):759~770
Bishop, C. M. / 1995 / Neural Networks for Pattern Recognition / Oxford University Press
Caglar, N. / 2009 / Neural network based approach for determining the shear strength of circular reinforced concrete columns / Constr. Build. Mater. 23:3225~3232
Naci Caglar / 2013 / Neural network based model for seismic assessment of existing RC buildings / Computers and Concrete, An International Journal 12(2):229~241
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