Influence of Temperature on the Dielectric Properties of Asphalt Mixtures

Zhang, Bei; Ni, Yaowei; Zhong, Yanhui; Li, Xiaolong; Gao, Yanlong; Wang, Baolin

doi:10.1061/(asce)mt.1943-5533.0004141

Cited by 7 publications

(2 citation statements)

References 22 publications

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“…Aggregates, as the largest composition of asphalt mixtures, significantly contribute to the dielectric properties of asphalt mixtures [28]. Hence it is essential to acquire the dielectric properties of aggregate (Andesite) at various temperatures.…”

Section: Resultsmentioning

confidence: 99%

“…Many uncertainties still exist in the relationship between the detection frequency and the dielectric properties of asphalt mixtures. Zhang et al [28] tested the dielectric properties of SMA mixtures between −30 and 60°C, with the single test frequency of 2 GHz. In summary, it is essential to identify the relationship between the dielectric properties and temperature over a wide range of frequencies, in order to improve the accuracies of the dielectric models.…”

Section: Introductionmentioning

confidence: 99%

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Dielectric model of asphalt pavement materials towards the future electrified road

Wang

et al. 2023

Phil. Trans. R. Soc. A.

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The dielectric properties of asphalt mixture are crucial for future electrified road (e-road) and pavement non-destructive detection. Few investigations have been conducted on the temperature and frequency influencing the dielectric properties of asphalt pavement materials. The development of e-road requires more accurate prediction models of pavement dielectric properties. To quantify the influence of temperature and frequency on the dielectric properties of asphalt mixtures, the dielectric constants, dielectric loss factor and dielectric loss tangents of aggregate, asphalt binders and asphalt mixtures were tested over the temperature range of −30 to 60°C and frequency range of 200 to 2 000 000 Hz. The results showed that the dielectric constants and dielectric loss factors of aggregate, asphalt binders and asphalt mixtures vary linearly with temperature, while the growth rates vary with the frequency. A model based on nonlinear fitting was first presented to estimate the dielectric loss factor, and another prediction model of the dielectric constant of asphalt mixtures considering the temperature impact was proposed afterwards. Compared with classical models, the average relative error of the proposed model of the dielectric constant is the smallest and is less sensitive to the asphalt mixture. This investigation can cast light on the utilization of non-destructive pavement testing and is potentially valuable for e-road using the electromagnetic properties of asphalt pavement materials. This article is part of the theme issue 'Artificial intelligence in failure analysis of transportation infrastructure and materials'.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%