Abstract

The rapid detection of asphalt content in asphalt mixture is of great significance to the quality evaluation of asphalt pavement. Based on the dielectric properties of an asphalt mixture, the prediction model of asphalt content is deduced theoretically using three types of dielectric models: Lichtenecker‐Rother (L‐R) model, Rayleigh model, and Bottcher equation. Under the condition of laboratory mixing at room temperature (about 20–25°C), a dielectric test of asphalt mixture is conducted to verify the applicability of the model. The test results indicate that the dielectric constant of the asphalt mixture is inversely proportional to the asphalt content and directly proportional to the aggregate size of the mixture. Among the models, the Rayleigh model has a wide range of applications and exhibits a high accuracy, with an average relative error of only 1.86%. The results provide a theoretical basis for the nondestructive testing of asphalt pavements using ground‐penetrating radar.

Highlights

  • Asphalt pavement is widely used in highway construction owing to its low noise, high strength, and excellent smoothness [1, 2]

  • To meet the current demand for the rapid detection of asphalt content, this study explores the feasibility of detecting asphalt content through the dielectric properties of asphalt mixtures

  • Among the test results of the five types of models, the calculation result of the Rayleigh model is closest to the measured data, while the error is the smallest, which makes it useful as a theoretical basis to conduct the practical engineering for the detection of asphalt content in asphalt pavements using ground-penetrating radar (GPR)

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Summary

Introduction

Asphalt pavement is widely used in highway construction owing to its low noise, high strength, and excellent smoothness [1, 2]. 2. Derivation of Prediction Model of Asphalt Content e dielectric constant is an important parameter that reflects the dielectric properties of pavement materials. Owing to the wide application ranges of the L-R model, Rayleigh model, and Bottcher equation, the prediction accuracy of the composite dielectric constant model is high. According to the above theoretical basis, the linear model, square root model, root mean square model, Rayleigh model, and Bottcher equation are selected to determine the asphalt content of the asphalt mixture. Based on the L-R model, the relationship between the dielectric properties and asphalt content of the asphalt mixture was studied. Considering the effect of asphalt volume ratio, the asphalt content prediction models are defined as follows: Pa cs cas(1 − T − e) × T + cas(1 − T.

Test and Method
Test Results and Discussion
Engineering Example Verification
Conclusions
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