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