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Challenges in Detecting Thin Asphalt Layers Using GPR

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Ground Penetrating Radar (GPR) is a valuable tool in transportation infrastructure surveys that has evolved alongside the advancements in global technology. As a Non-Destructive Testing (NDT) technique, GPR is mainly utilized for pavement investigations and has been successfully used to assess the thickness in pavement engineering. However, despite its many years of use and improvements, there is still one major issue: how effectively can GPR detect thin asphalt layers? This challenge, commonly referred to as the "thin layer problem" according to the international literature, arises from the fact that it is difficult to detect reflections from thin layers. The main issue is the possible overlap of bottom and surface reflections, which makes accurate detection difficult.The present research study addresses the accuracy requirements associated with using high frequency GPR antennas to identify and measure the thickness of thin asphalt layers. A key feature of this research is the proposed methodology, which provides a simple and effective approach to processing GPR data from thin asphalt layers to accurately detect their thickness. The methodology was validated using field data based on a highway section where rehabilitation works were carried out in conjunction with a newly constructed asphalt surface course. The estimated thickness of the thin layer showed an acceptable margin of error compared to the core sample measurements.Overall, the results demonstrate the robustness and adaptability of GPR for quality assurance and quality control purposes, even in complex environments. In summary, GPR is a powerful tool that paves the way for more efficient pavement infrastructure management.
Title: Challenges in Detecting Thin Asphalt Layers Using GPR
Description:
Ground Penetrating Radar (GPR) is a valuable tool in transportation infrastructure surveys that has evolved alongside the advancements in global technology.
As a Non-Destructive Testing (NDT) technique, GPR is mainly utilized for pavement investigations and has been successfully used to assess the thickness in pavement engineering.
However, despite its many years of use and improvements, there is still one major issue: how effectively can GPR detect thin asphalt layers? This challenge, commonly referred to as the "thin layer problem" according to the international literature, arises from the fact that it is difficult to detect reflections from thin layers.
The main issue is the possible overlap of bottom and surface reflections, which makes accurate detection difficult.
The present research study addresses the accuracy requirements associated with using high frequency GPR antennas to identify and measure the thickness of thin asphalt layers.
A key feature of this research is the proposed methodology, which provides a simple and effective approach to processing GPR data from thin asphalt layers to accurately detect their thickness.
The methodology was validated using field data based on a highway section where rehabilitation works were carried out in conjunction with a newly constructed asphalt surface course.
The estimated thickness of the thin layer showed an acceptable margin of error compared to the core sample measurements.
Overall, the results demonstrate the robustness and adaptability of GPR for quality assurance and quality control purposes, even in complex environments.
In summary, GPR is a powerful tool that paves the way for more efficient pavement infrastructure management.

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