Paper Title:
Study on Shrinkage of Concrete Based on BP Neural Network
  Abstract

In order to solve the problem of concrete cracking in wellhead groove with large longitudinal length, shrinkage tests of concrete containing fly ash and slag in natural environment were conducted. According to the experimental study, the shrinkage model of concrete based on BP neural network is established and the results from model agree well with the measured results. Then the effect analysis of single factor on shrinkage using the neural network model is carried out. Simultaneously, the optimal mix proportion of concrete is successfully predicted by orthogonal experiment of numerical simulation method, so that it provides reference to the control of concrete shrinkage for the engineering structure.

  Info
Periodical
Advanced Materials Research (Volumes 163-167)
Edited by
Lijuan Li
Pages
3249-3257
DOI
10.4028/www.scientific.net/AMR.163-167.3249
Citation
T. C. Wang, Q. M. Peng, W. L. Liu, L. F. Feng, "Study on Shrinkage of Concrete Based on BP Neural Network", Advanced Materials Research, Vols. 163-167, pp. 3249-3257, 2011
Online since
December 2010
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