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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.68 No.6
- 발행연도
- 2018.1
- 수록면
- 691 - 700 (10page)
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초록· 키워드
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Ground granulated blast furnace slag (GGBS) is a by product obtained from iron and steel industries, useful in the design and development of high quality cement paste/mortar and concrete. This paper investigates the applicability of relevance vector machine (RVM) based regression model to predict the compressive strength of various GGBS based concrete mixes. Compressive strength data for various GGBS based concrete mixes has been obtained by considering the effect of water binder ratio and steel fibres. RVM is a machine learning technique which employs Bayesian inference to obtain parsimonious solutions for regression and classification. The RVM is an extension of support vector machine which couples probabilistic classification and regression. RVM is established based on a Bayesian formulation of a linear model with an appropriate prior that results in a sparse representation. Compressive strength model has been developed by using MATLAB software for training and prediction. About 70% of the data has been used for development of RVM model and 30% of the data is used for validation. The predicted compressive strength for GGBS based concrete mixes is found to be in very good agreement with those of the corresponding experimental observations.
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참고문헌 (40)
참고문헌 신청
Achmad, W. / 2009 / Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine / Exp. Syst. Appl 36(3):7252~7261
Badogiannis, E. / 2004 / Exploitation of poor Greek kaolins : Strength development of metakaolin concrete and evaluation by means of k-value / Cement Concrete Res 34(6):1035~1041
Binici, H. / 2007 / The effect of fineness on the properties of the blended cements incorporating ground granulated blast furnace slag and ground basaltic pumice / Constr. Build. Mater 21(5):1122~1128
Chan, W. W. J. / 2000 / Durability of concrete with high cement replacement / Cement Concrete Res 30(6):865~879
Dawei, H. / 2012 / Flow modelling using Relevance Vector Machine (RVM) / Proceedings of the 5th International Conference on Hydroinformatics
Badogiannis, E. / 2004 / Exploitation of poor Greek kaolins : Strength development of metakaolin concrete and evaluation by means of k-value / Cement Concrete Res 34(6):1035~1041
Binici, H. / 2007 / The effect of fineness on the properties of the blended cements incorporating ground granulated blast furnace slag and ground basaltic pumice / Constr. Build. Mater 21(5):1122~1128
Chan, W. W. J. / 2000 / Durability of concrete with high cement replacement / Cement Concrete Res 30(6):865~879
Dawei, H. / 2012 / Flow modelling using Relevance Vector Machine (RVM) / Proceedings of the 5th International Conference on Hydroinformatics
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