The Forecast of Carbonation Depth of Concrete Based on RBF Neural Network

By analyzing the causes and influencing factors of carbonation of concrete, the RBF neural network model for predicting carbonation depth of concrete is founded. And actual data is analyzed through an example and results are compared with the BP network model. The testing results show that RBF network model for predicting carbonation depth of concrete can become a new effective assessment model with better prediction results and higher recognition precision.