Thickness and Density Prediction of Thin Asphalt Concrete Overlay Using GPR

Prediction of thin asphalt overlay thickness and density is challenging due to the ground-penetrating radar (GPR) signal resolution limitation. In this study, a nonlinear optimization approach was developed to analyze GPR signals collected from thin AC overlays to estimate their thickness and density. A finite difference time domain (FDTD) simulation study was conducted to validate the proposed algorithm. The results showed that the accuracy of dielectric constant estimation increased after the nonlinear method was applied. This resulted in a thickness estimation error of less than 1 mm. This study demonstrates that the nonlinear algorithm is an effective approach for estimating thin AC overlay thickness and density from GPR data.

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