关键词: 道路工程, 沥青混合料弹性模量, 预测结果, BP神经网络, 对比分析

Abstract: Through the comparative analysis on the different predicting methods of HMA elastic modulus, the most reasonable method of fast prediction was found. BP neural network was used to predict HMA elastic modulus at different temperatures, and the relationship between Et/E20 and temperature of HMA elastic modulus was established. On this basis, it was compared with other forecasting methods. The research contents included: the data investigation and the influence factors analysis of HMA elastic modulus, the prediction results of HMA elastic modulus based on different prediction methods, and the prediction results of BP neural network as well as the comparative analysis on other methods. Through the comparative analysis on different predication results, the scientific rationality of BP neural network method was demonstrated. The research shows that BP neural network method can accurately predict HMA elastic modulus at different temperatures; it has a certain advantage compared with other methods.

Key words: highway engineering, HMA elastic modulus, predicting result, BP neural network, comparative analysis