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.

• Periodical: Applied Mechanics and Materials (Volumes 20-23)
• Pages: 838-842
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.20-23.838
• Online since: January 2010
• Authors: Wen Huan Chien, Li Chen, Chih Chiang Wei, Hsun Hsin Hsu, Tai Sheng Wang
• Keywords: Back-Propagated Network (BPN), High-Performance Concrete (HPC), Slump Flow

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