A Simple Model of Predicting the Degree of Hydration of Concrete Using Artificial Neural Networks

Abstract:

Prediction of degree of hydration of concrete is very important on research of crack-resistance capability and durability of the structure. This article studied the relationship between degree of hydration and strength of concrete based on a large number of references, the results show that the compressive strength of concrete is closely related with the degree of hydration, and the correlation function is a function of water-cement ratio and has nothing to do with the temperature. The hydration degree and compressive strength of ordinary concrete is linear correlation, and the prediction model of degree of hydration of concrete was proposed based on BP Artificial Neural Networks.

• Periodical: Advanced Materials Research (Volumes 168-170)
• Pages: 412-417
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.168-170.412
• Online since: December 2010
• Authors: Deng Xiang Zhang, Wei Jun Yang
• Keywords: Artificial Neural Network (ANN), Concrete, Degree of Hydration, Simple Model

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