Prediction of the Elastic Modulus of Self-Compacting Concrete Based on SVM

Article Preview

Abstract:

With the powerful regression and fitting of support vector machines in uncertainty and the non-linear,based on the determination of the content of the coarse aggregate and characteristic parameters, this paper established a predictive model of self-compacting concrete elastic modulus based on support vector machine.Through analysis and comparison with experimental results, it proves the accuracy and effectiveness of the model.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1023-1026

Citation:

Online since:

August 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Zhijian Yang. Research in the impacting factors of self-compacting concrete elastic modulus [D]. Hunan university. 2011. 5. In Chinese.

Google Scholar

[2] Qizhi Xu, Banghong Chen, ZhilongXu. Prediction RBF model of early concrete elastic modulus [J]. Concrete. 2010(8). In Chinese.

Google Scholar

[3] Donghui Liu. Research of the optimal parameter selection of support vector machine (SVM) [J]. Journal of hebei university of science and technology. 2009, 3. In Chinese.

Google Scholar

[4] Hao Liu. Experimental study of the coarse aggregate effect on performance of self-compacting concrete [J]. Commercial concrete. 2008(1). In Chinese.

Google Scholar

[5] Binfeng Liu. C50 Research on the influence of the configuration and the coase aggregate on the self-compacting concrete elastic modulus [D]. Central south university, 2007, 5. In Chinese.

Google Scholar