Research on Prediction Model of Dynamic Modulus of Asphalt Mixture
Based on the indoor test and the principle of time-temperature equivalence,the dynamic mod-ulus value in a larger frequency(temperature)range was predicted.In the indoor test,90JHJ matrix asphalt,SBS modified asphalt and EVA modified asphalt were tested by dynamic shear rheometer(DSR),and their dynamic shear modulus values at different temperatures and frequencies were ob-tained|g*|.The dynamic modulus of asphalt mixtures with different gradations of these three kinds of asphalt was tested to get|e*|,and the dynamic modulus master curve was obtained by combining Williams-Landel-Ferry(WLF)equation and Sigmoid function.Based on the experimental data,the prediction ability of Hirsch model and artificial neural network model was evaluated,and it was found that the prediction ability of Hirsch model is low.The optimization results show that the prediction a-bility of the modified Hirsch model is further improved.Compared with the empirical model,the pre-diction accuracy of artificial neural network model is higher.
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