Modeling Slump Flow of High-Performance Concrete Using a Back-Propagation Network

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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.

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Periodical:

Edited by:

Qi Luo

Pages:

838-842

Citation:

W. H. Chien et al., "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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$38.00

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