Prediction of Diagonal Crack Widths of High-Strength Reinforced Concrete Beam by Artificial Neural Network

Abstract:

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Based on influencing factors of the diagonal crack widths of high-strength reinforced concrete beam, the paper presents a model for predict the diagonal crack width of high-strength reinforced concrete beam by artificial neural network. The model is verified using experimental data; it indicates that the neural network model has a good effect on the forecast of the diagonal crack widths. At the same time, artificial neural network provides a new way to calculate the diagonal crack widths.

Info:

Periodical:

Advanced Materials Research (Volumes 163-167)

Edited by:

Lijuan Li

Pages:

992-997

DOI:

10.4028/www.scientific.net/AMR.163-167.992

Citation:

J. Yao et al., "Prediction of Diagonal Crack Widths of High-Strength Reinforced Concrete Beam by Artificial Neural Network", Advanced Materials Research, Vols. 163-167, pp. 992-997, 2011

Online since:

December 2010

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Price:

$35.00

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