Abstract
Ground Penetrating Radar (GPR) is widely used in predicting density of asphalt mixture based on composite dielectric models. In this study, the accuracy and stability of predicted density from six composite dielectric models were studied, including Linear model, CRIM, a modified CRIM, Bottcher model, ALL model and Rayleigh model. In addition, a BPNN-based pattern recognition was used to evaluate the density of asphalt mixture. The results showed that: Composite-dielectric-based models got a relatively low accuracy in density evaluation; Accuracy and stability of result from these models could not meet the requirement stipulated in standard; Results of BPNN-based recognition algorithm met the requirement stipulated in standard and its accuracy was increased with a larger database.
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