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This is a Quantitative Study study.

September 19, 2025e-Journal of Nondestructive Testing

Optimizing Flexible Pavement Density during Construction with Closed-Loop GPR Monitoring

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Authors

IAImad L. Al‐QadiMarquette University LALama AbufaresUniversity of Illinois Urbana-Champaign YCYihan ChenUniversity of Science and Technology of China

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Implication

This analysis demonstrates GPR’s effectiveness in predicting pavement density and thickness during construction, indicating its potential for quality control.

Key Points

GPR accurately predicts asphalt concrete density and thickness, enhancing pavement structural integrity.
The mean absolute errors for density and thickness predictions were 0.7% and 4mm, showing GPR's reliability.
A retrofitted GPR system was used on a compactor to monitor AC compaction during construction with specific algorithms applied.
Isolating surface moisture effects from GPR signals allows for improved measurements, supporting efficient construction practices.

Cite This Study

Al‐Qadi et al. (2025) studied this question.

synapsesocial.com/papers/68d466af31b076d99fa65191 https://doi.org/10.58286/31695

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Implication

This analysis demonstrates GPR’s effectiveness in predicting pavement density and thickness during construction, indicating its potential for quality control.

Optimizing Flexible Pavement Density during Construction with Closed-Loop GPR Monitoring

Discussion

Member takes

Implication

Key Points

Cite This Study

Optimizing Flexible Pavement Density during Construction with Closed-Loop GPR Monitoring

Discussion

Member takes

Implication

Key Points

Cite This Study

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