지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국계산역학회 Computers and Concrete, An International Journal Computers and Concrete, An International Journal Vol.10 No.2
- 발행연도
- 2012.8
- 수록면
- 197 - 217 (21page)
이용수
초록· 키워드
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This research deals with the prediction of compressive strength of normal and high strength concrete using neural networks. The compressive strength was modeled as a function of eight variables: quantities of cement, fine aggregate, coarse aggregate, micro-silica, water and super-plasticizer, maximum size of coarse aggregate, fineness modulus of fine aggregate. Two networks, one using raw variables and another using grouped dimensionless variables were constructed, trained and tested using available experimental data, covering a large range of concrete compressive strengths. The neural network models were compared with regression models. The neural networks based model gave high prediction accuracy and the results demonstrated that the use of neural networks in assessing compressive strength of concrete is both practical and beneficial. The performance of model using the grouped dimensionless variables is better than the prediction using raw variables.
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참고문헌 (36)
참고문헌 신청
Adhikary, B.B. / 2006 / Prediction of shear strength of steel fiber RC beams using neural networks / Constr. Build Mater 20(9):801~811
Akkurt, S. / 2003 / The use of GA-ANNs in the modelling of compressive strength of cement mortar / Cement. Concrete Res 33(7):973~979
Baykaso lu, A. / 2004 / Prediction of cement strength using soft computing techniques / Cement. Concrete Res 34(11):2083~2090
Bilgehan, M. / 2010 / The use of neural networks in concrete compressive strength estimation / Comput. Concrete 7(3):271~283
Bilim, C. / 2009 / Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network / Adv. Eng. Softw 40(5):334~340
Akkurt, S. / 2003 / The use of GA-ANNs in the modelling of compressive strength of cement mortar / Cement. Concrete Res 33(7):973~979
Baykaso lu, A. / 2004 / Prediction of cement strength using soft computing techniques / Cement. Concrete Res 34(11):2083~2090
Bilgehan, M. / 2010 / The use of neural networks in concrete compressive strength estimation / Comput. Concrete 7(3):271~283
Bilim, C. / 2009 / Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network / Adv. Eng. Softw 40(5):334~340
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