Paper Title:
Prediction of Diagonal Crack Widths of High-Strength Reinforced Concrete Beam by Artificial Neural Network
  Abstract

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, L. Cao, J. F. Huang, "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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