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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.20 No.1
- 발행연도
- 2017.1
- 수록면
- 65 - 75 (11page)
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초록· 키워드
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In this study, a novel application of symbolic regression (SR) is employed for the prediction of ultimate shear strength of steel fiber reinforced (SFRC) and glass fiber reinforced (GFRC) corbels without stirrups, for the first time in the literature. A database is created using the test results (42 tests) conducted by the authors of current paper as well as the previous studies available in the literature. A symbolic regression based empirical formulation is proposed using this database. The formulation is unique in a way that it has the capability to predict the shear strength of both SFRC and GFRC corbels. The performance of proposed model is tested against randomly selected testing set. Additionally, a parametric study with a wide range of variables is carried out to test the effect of each parameter on the shear strength. The results confirm the high prediction capacity of proposed model.
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참고문헌 (36)
참고문헌 신청
Abdi, H. A. / 2016 / Effect of glass fiber in high strength reinforced concrete corbels
ACI Committee 544 / 2002 / State-of-the-Art Report on Fiber Reinforced Concrete
Alemdag, S. / 2016 / Modeling deformation modulus of a stratified sedimentary rock mass using neural network, fuzzy inference and genetic programming / Eng. Geol. 203:70~82
Augusto, D. A. / 2002 / Symbolic regression via genetic programming / Proceedings of 6th Brazilian Symposium on Neural Networks
Bongard, J. / 2007 / Automated reverse engineering of nonlinear dynamical systems / Proceedings of the National Academy of Sciences 104(24):9943~9948
ACI Committee 544 / 2002 / State-of-the-Art Report on Fiber Reinforced Concrete
Alemdag, S. / 2016 / Modeling deformation modulus of a stratified sedimentary rock mass using neural network, fuzzy inference and genetic programming / Eng. Geol. 203:70~82
Augusto, D. A. / 2002 / Symbolic regression via genetic programming / Proceedings of 6th Brazilian Symposium on Neural Networks
Bongard, J. / 2007 / Automated reverse engineering of nonlinear dynamical systems / Proceedings of the National Academy of Sciences 104(24):9943~9948
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