Prediction of the Tension Softening Curve of Dam Concrete Based on BP Neural Network

Article Preview

Abstract:

This paper predicted the tension softening curves of dam concrete by employing the BP neural networks based on the experimental data of direct tension tests of dam concrete. This approach can predict the tension softening curves for the same component material but different mixtures dam concrete without performing the direct tension tests which are complex and expensive.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 311-313)

Pages:

1935-1940

Citation:

Online since:

August 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Dariusz Alterman, Hiroshi Akita, Janusz Kasperkiewicz:Tension softening curves described by algebraic formulas and artificial neural networks, Advances in Construction Materials 2007,Part IX, p.723

DOI: 10.1007/978-3-540-72448-3_73

Google Scholar

[2] Hou-Gui Zhou, Qing-Bin Li and Zhi-Fang Zhao: Research on fracture simulation of mass concrete cracks. Cooperative Research Report of China Gezhouba(Group) Corporation.,Tsinghua University and Yantai University (2004) [In Chinese]

Google Scholar

[3] Zhifang Zhao, Bo Pang, Zhigang Zhao: Fracture Behaviors of Dam and Wet-screening Concrete by Direct Tension Test. Key Engineering Materials, Vols. 400, p.233 (2009)

DOI: 10.4028/www.scientific.net/kem.400-402.233

Google Scholar

[4] ShuangCong:The neural network theory and application to Matlab toolbox (Press of University of Hefei Science and Technology of China 2003),p.63[In Chinese]

Google Scholar

[5] KuiDai:The realization technology of Neural network(Press of University of Defense Science and Technology 1998) ,p.303[In Chinese]

Google Scholar