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Capacitance-Based Characterization of Air-Void Distribution in Asphalt Mixtures Using a Saturated Reference Field
Xing Hu1,2, Qiao Dong1,2, Bin Shi3
1Department of Road Engineering, Southeast University, Nanjing 211189, China.
Sensors (Basel, Switzerland)
|August 13, 2026
Summary
This study introduces a novel capacitance-based method to map air-void distribution in asphalt mixtures. This non-destructive technique accurately details spatial variations, improving pavement quality assessment.
Area of Science:
- Materials Science
- Civil Engineering
- Geotechnical Engineering
Background:
- Air-void distribution is crucial for asphalt mixture performance, influencing compaction, durability, and permeability.
- Traditional methods offer only average air-void content, failing to capture spatial variations within specimens.
- Understanding air-void distribution is key to ensuring long-term pavement integrity.
Purpose of the Study:
- To develop and validate a capacitance-based method for characterizing vertical and radial air-void distribution in asphalt mixtures.
- To provide a non-destructive, rapid, and cost-effective alternative to conventional air-void testing.
- To enhance the assessment of asphalt mixture quality and pavement performance.
Main Methods:
- Designed and optimized an annular capacitive sensor for cylindrical asphalt specimens.
- Employed a saturated reference field measurement scheme for dielectric indicator derivation.
- Validated vertical distribution with layer-wise measurements and radial distribution with partition-based indicators.
Main Results:
- The capacitance method effectively reflects spatial variations in air voids along specimen height and across radial regions.
- Dielectric indicators accurately characterize non-uniform air-void distribution.
- Robustness confirmed through rotation-angle and saturated-condition stability tests.
Conclusions:
- The saturated reference-field capacitance method offers a powerful tool for analyzing asphalt mixture air-void distribution.
- This approach provides valuable insights into internal structure, aiding in quality control and performance prediction.
- It represents a significant advancement for laboratory assessment of asphalt mixtures.
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