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Three-Dimensional Meso-Structure-Based Model for Evaluating the Complex Permittivity of Asphalt Concrete.
Zhenwen Xie1, Xingzao Chen2, Jing Wang2
1Hunan Construction Investment Group Co., Ltd., Changsha 410004, China.
This study presents a new method to calculate asphalt complex permittivity for microwave heating in winter road maintenance. Findings help optimize heating by understanding how porosity, moisture, and aggregate size affect pavement thermal behavior.
Area of Science:
- Materials Science
- Civil Engineering
- Electromagnetics
Background:
- Microwave heating offers a novel approach for cold-season road maintenance.
- Asphalt pavement's thermal response to microwaves depends critically on its complex permittivity.
- Accurate complex permittivity data is essential for optimizing microwave heating applications.
Purpose of the Study:
- To develop and validate an innovative computational method for determining asphalt mixture complex permittivity.
- To investigate the influence of key physical parameters on complex permittivity.
- To analyze and modify classical dielectric models for asphalt mixtures.
Main Methods:
- Proposed a three-dimensional meso-scale heterogeneous structure model for complex permittivity calculation.
- Conducted experimental validation of the proposed computational approach.
- Performed computational analysis on the effects of porosity, void size, moisture, and aggregate gradation.
- Analyzed classical dielectric models and modified the Lichtenecker-Rother model.
Main Results:
- Complex permittivity is sensitive to porosity, void size, moisture content, and aggregate gradation.
- Real part of complex permittivity decreases with increased porosity.
- Imaginary part shows frequency-dependent changes, influenced by void size.
- Moisture content significantly increases both real and imaginary parts.
- Modified Brown model achieved high determination coefficients (R²=0.922 for real, R²=0.980 for imaginary parts).
Conclusions:
- The validated computational method accurately predicts asphalt complex permittivity.
- Understanding parameter effects allows for optimized microwave heating strategies.
- The modified dielectric model enhances prediction accuracy for asphalt mixtures under various conditions.
- This research provides valuable insights for transportation agencies implementing winter road maintenance using microwave technology.
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