What question did this study set out to answer?

The central aim is to develop and validate a dielectric-dense calibration model for accurate asphalt compaction assessment.

Development and Validation of a New Dielectric Profiling System Dielectric–Density Calibration Model Using Laboratory and Field Data

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Analysis of a new calibration model improves asphalt compaction assessments, indicating practical applications for field data.

The central aim is to develop and validate a dielectric-dense calibration model for accurate asphalt compaction assessment.
Introduced the average Hashin–Shtrikman model for calibration.
Analyzed DPS measurements and field data from 22 Michigan projects.
Compared puck-based and core-based calibrations across multiple datasets.
Assessed model accuracy, variability, and consistency in voids measurements.
28 of 29 puck-based datasets exhibited standard deviations below 0.5% voids.
Core-based measurements showed greater variability, with half exceeding 1.0% voids standard deviation.
Day-to-day variability measured around 0.4% voids in both pucks and cores.
Core-puck comparisons agreed within 2% voids for most datasets.

Kaseer et al. (2026) studied this question.

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