Moisture Content Prediction Model of Asphalt Mixtures Based on Dielectric Properties

Yu, Xin; Luo, Rong; Huang, Ting‐Ting; Shu, Yu; Ruan, Li

doi:10.1061/(asce)mt.1943-5533.0004155

Cited by 5 publications

(2 citation statements)

References 24 publications

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“…Asphalt mixture is a composite made up of aggregates, asphalt binders and air. The dielectric constant of asphalt mixture is relative to its density, moisture content and constituents [14,15]. The dielectric model of asphalt mixture was used to estimate the dielectric constants of asphalt mixtures, which is an algebraic formula based on volume proportions and the dielectric constant of individual constituents [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

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: Introductionmentioning

confidence: 99%

Dielectric model of asphalt pavement materials towards the future electrified road

Wang

et al. 2023

Phil. Trans. R. Soc. A.

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“…Asphalt pavement has been widely used in highway engineering for its good performance in enhancing skid resistance, reducing noise, and excellent anti-friction performance (Zhu et al, 2020;Li L. et al, 2021;Zho et al, 2021;Yu et al, 2022;Li and Chen, 2023). With the rapid development of the economy, asphalt pavement is prone to damage such as hightemperature rutting, low-temperature cracking, water damage, and spalling (Zhang and Huang, 2019;Cheng et al, 2020;Ch et al, 2021;Yalghouzaghaj et al, 2021;Chen et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Research on properties of basalt fiber-reinforced asphalt mastic

Shi,

Wang,

Sun

et al. 2023

Front. Mater.

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A basalt fiber-reinforced asphalt mixture can improve the engineering properties of asphalt pavement and prolong the service life of the road. However, few studies have systematically examined the composition of asphalt mixtures or the optimal ratio of fiber asphalt mastic suitable for different structural types. The effects of fiber content, filler–asphalt ratio, and asphalt viscosity on the properties of fiber asphalt mastic were investigated by orthogonal experiments to explore the reinforcement effect of basalt fiber on asphalt mastic. The optimal ratio of fiber asphalt mastic suitable for gap-graded and dense-graded asphalt mixtures was obtained by the fuzzy comprehensive evaluation (FCE) method. Meanwhile, the reinforcement effects of bundled basalt fiber (BBF), flocculated basalt fiber (FBF), polyester fiber (PF), and lignin fiber (LF) on asphalt mastic were compared and analyzed based on the optimal ratio of FBF asphalt mastic. The results showed that the optimal fiber asphalt mastic ratio suitable for gap-graded and dense-graded asphalt mixtures were that fiber content, filler–asphalt ratio, and asphalt viscosity were 3%, 1.8, and 1.1 Pa·s and 2%, 1.0, and 0.7 Pa·s, respectively. Analyzing the properties of different types of fiber asphalt mastic revealed that FBF could effectively enhance the high-temperature rheological properties and low-temperature tensile properties of asphalt mastic compared with other fibers. FBF asphalt mastic improved the asphalt rutting factor by more than four times. The tensile fracture energy of fiber asphalt mastic was more than three times that of the corresponding asphalt. The reinforcement effect of BBF was poor; it was recommended to be broken up before use.

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A new method for measuring the relative dielectric constant of porous mixed media using GPR, and its application

Ling

Zhang

et al. 2022

Construction and Building Materials

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Moisture Content Prediction Model of Asphalt Mixtures Based on Dielectric Properties

Cited by 5 publications

References 24 publications

Dielectric model of asphalt pavement materials towards the future electrified road

Dielectric model of asphalt pavement materials towards the future electrified road

Research on properties of basalt fiber-reinforced asphalt mastic

A new method for measuring the relative dielectric constant of porous mixed media using GPR, and its application

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