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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Structural Engineering and Mechanics, An Int'l Journal Structural Engineering and Mechanics, An Int'l Journal Vol.60 No.4
- 발행연도
- 2016.1
- 수록면
- 655 - 665 (11page)
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초록· 키워드
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This paper aims to develop models to accurately predict the behavior of fresh concrete exposed to vibration using artificial neural networks (ANNs) model and regression model (RM). For this purpose, behavior of a full scale precast concrete mold was investigated experimentally and numerically. Experiment was performed under vibration with the use of a computer-based data acquisition system. Transducers were used to measure time-dependent lateral displacements at some points on mold while both mold is empty and full of fresh concrete. Modeling of empty and full mold was made using both ANNs and RM. For the modeling of ANNs: Experimental data were divided randomly into two parts. One of them was used for training of the ANNs and the remaining part was used for testing the ANNs. For the modeling of RM: Sinusoidal regression model equation was determined and the predicted data was compared with measured data. Finally, both models were compared with each other. The comparisons of both models show that the measured and testing results are compatible. Regression analysis is a traditional method that can be used for modeling with simple methods. However, this study also showed that ANN modeling can be used as an alternative method for behavior of fresh concrete exposed to vibration in precast concrete structures.
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참고문헌 (18)
참고문헌 신청
Gultekin Aktas / 2016 / Investigation of fresh concrete behavior under vibration using mass-spring model / Structural Engineering and Mechanics, An Int＇l Journal 57(3):425~439
Aktas, G. / 2014 / Experimental confirmation for the validity of Ritz method in structural dynamic analysis / J. Theor. App. Mech 52(4):981~993
Aktas, G. / 2014 / Computer-aided mold design algorithm for precast concrete elements / ACI Mat. J 111(1):77~87
Alexsandridis, A. / 1981 / Mechanical behaviour of fresh concrete / Cement Concrete Res 11(3):323~339
Beale, M.H. / 2014 / Neural Network Toolbox User’s Guide / The MathWorks, Inc
Aktas, G. / 2014 / Experimental confirmation for the validity of Ritz method in structural dynamic analysis / J. Theor. App. Mech 52(4):981~993
Aktas, G. / 2014 / Computer-aided mold design algorithm for precast concrete elements / ACI Mat. J 111(1):77~87
Alexsandridis, A. / 1981 / Mechanical behaviour of fresh concrete / Cement Concrete Res 11(3):323~339
Beale, M.H. / 2014 / Neural Network Toolbox User’s Guide / The MathWorks, Inc
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