Abstract This paper presents a case study on a road base grouting project, utilizing 3-D Ground Penetrating Radar (GPR) technology to obtain plane amplitude gray maps before and after grouting at different depths of the road base. Statistical analysis was conducted by extracting gray values from these maps using image recognition technology. The study yielded the following conclusions: Firstly, a comparison of 80 sets of gray maps revealed a higher level of uniformity in the maps after grouting, indicating the effective reinforcement of the road base through the grouting process. Secondly, the normal distribution curves plotted using the extracted gray values showed that the curve after grouting had a smoother shape and a lower peak value compared to the curve before grouting. Finally, while there was no significant correlation between the expected value and grouting quality, the standard deviation exhibited a significant correlation. Therefore, it is recommended to assess grouting quality qualitatively through the examination of the normal distribution curve and quantitatively by considering the standard deviation. These findings provide valuable insights for evaluating grouting quality in similar projects, contributing to the improvement of road construction and maintenance practices.
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Chen et al. (2024) studied this question.
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