Full-scale mapping of asphalt pavement compaction degree using GPR: A roller-mounted approach
Source abstract
Abstract
Accurate measurement of asphalt layer compaction degrees is critical during construction. Ground-penetrating radar (GPR) can be installed on a roller for continuous dielectric constant and density measurements of the surface layer during the construction process, providing full-scale mapping of the compaction degree. This could allow on-site fixing of potential under- or over-compaction. However, challenges such as surface moisture from roller nozzle sprays, field data instability, and the need for parameter calibrations in the dielectric constant-density model hinder its application. This study provides a roller-mounted GPR approach to evaluate asphalt surface layer compaction quality on a full scale. The proposed approach addresses the influence of water vapor between the antenna and the ground surface on GPR accuracy, mainly coming from water sprays from the steel roller. The asphalt mixture density statistics were utilized as evaluation metrics for measuring the compaction degree and uniformity. A data stability correction method was developed to eliminate outliers. The dielectric constant-density prediction model was calibrated using laboratory and field core testing results. Case studies based on field validations demonstrate that GPR technology effectively controls the overall compaction density between 94% and 96%. Unmanned compaction machinery exhibited superior compaction uniformity, with a lower coefficient of variation compared to conventional machinery types. Variations in compaction degree were observed at construction section edges and between lanes, highlighting the need for improved construction monitoring for quality assurance.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Geophysical Methods and Applications · Geophysical and Geoelectrical Methods · Rock Mechanics and Modeling
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (24)
Show source-provided references
1. "Measuring layer thicknesses with GPR–theory to practice10.1016/j.conbuildmat.2005.06.005 ↗
2. "In-place hot-mix asphalt density estimation using ground-penetrating radar10.3141/2152-03 ↗
3. Al-Qadi, Imad L., and Samer Lahouar. "Detection of asphalt binder aging in flexible pavement by ground penetrating radar." (2005).
4. "Real-time asphalt pavement layer thickness prediction using ground-penetrating radar based on a modified extended common mid-point (XCMP) approach10.1109/TITS.2023.3343196 ↗
5. The uniformity evaluation method study on construction quality of asphalt pavement
6. Research on homogeneity of asphalt pavement evaluation based on the dielectric constant
7. Study on compaction quality evaluation of asphalt layer based on ground penetrating radar technology
8. "Development of asphalt mixture density estimation model applicable to wide air void content range using ground penetrating radar10.1016/j.conbuildmat.2021.123521 ↗
9. "Bayesian optimization based random forest and extreme gradient boosting for the pavement density prediction in GPR detection10.1016/j.conbuildmat.2023.131564 ↗
10. Research on asphalt pavement air voids content estimation utilizing GPR considering the surface microscopic structure
11. "Development and validation for in situ asphalt mixture density prediction models."10.1016/j.ndteint.2011.03.002 ↗
12. Study on the relationship between dielectric properties and density of asphaltmixture
13. Leng · 2011
14. Optimization model of asphalt mixture density prediction based on dielectric properties
15. Continuous real-time monitoring of flexible pavement layer density and thickness using ground penetrating radar10.1016/j.ndteint.2018.08.005 ↗
16. In-situ density measurement using GPR considering random pore distribution of asphalt pavement10.1016/j.measurement.2024.116479 ↗
17. "Factors impacting monitoring asphalt pavement density by ground penetrating radar."10.1016/j.ndteint.2020.102296 ↗
18. Automatic asphalt layer interface detection and thickness determination from ground-penetrating radar data10.1016/j.conbuildmat.2022.129434 ↗
19. Removal of the GPR antenna vibration effect through height shifting correction for enhanced multi-layer asphalt pavement thickness determination10.1016/j.autcon.2024.105335 ↗
20. Tom Scullion, and Robert C. Briggs. "Use of radar technology for pavement layer evaluation
21. Lahouar · 2003
22. Development and validation for in situ asphalt mixture density prediction models."10.1016/j.ndteint.2011.03.002 ↗
23. Statistical characterization and attenuation of vibration effect for continuous asphalt pavement survey using ground-penetrating radar10.1016/j.autcon.2025.106057 ↗
24. Real-time asphalt pavement layer thickness prediction using ground-penetrating radar based on a modified extended common mid-point (XCMP) approach10.1109/TITS.2023.3343196 ↗