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.

• Periodical: Advanced Materials Research (Volumes 163-167)
• Pages: 992-997
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.163-167.992
• Online since: December 2010
• Authors: Ji Yao, Liang Cao, Jian Feng Huang
• Keywords: Artificial Neural Network (ANN), Diagonal Crack Width, Reinforced Concrete (RC) Beam

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