Paper Title:
Modeling Slump Flow of High-Performance Concrete Using a Back-Propagation Network
  Abstract

This paper proposes a back-propagated network (BPN) and applies it to estimate the slump flow of high-performance concrete (HPC). HPC is a highly complex material whose behavior is difficult to model, especially slump flow. Slump flow estimation is a function of the content of all concrete ingredients, including cement, fly ash, blast furnace slag, water, superplasticizer, and coarse and fine aggregate. BPN is a well-known method, used to automatically discover the complex relationships among nonlinear systems. The results show that BPN predicts the slump flow of HPC with satisfyied estimating errors.

  Info
Periodical
Edited by
Qi Luo
Pages
838-842
DOI
10.4028/www.scientific.net/AMM.20-23.838
Citation
W. H. Chien, L. Chen, C. C. Wei, H. H. Hsu, T. S. Wang, "Modeling Slump Flow of High-Performance Concrete Using a Back-Propagation Network", Applied Mechanics and Materials, Vols. 20-23, pp. 838-842, 2010
Online since
January 2010
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