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Algorithm development for real-time thin asphalt concrete overlay compaction monitoring using ground-penetrating radar

机译:使用地面穿透雷达实时薄沥青混凝土覆盖压缩监控算法开发

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摘要

Ground-penetrating radar (GPR) is an effective, feasible, and non-destructive tool for real-time estimation of the density of asphalt concrete (AC) during compaction. When the AC pavement is thin, however, it is difficult to estimate the density due to the limited GPR signal resolution. In addition, the surface moisture, applied during compaction, has an effect on the GPR signal and hence impacts density prediction accuracy. In this study, a nonlinear optimization approach, based on gradient descent, was used to recover the AC pavement surface reflection. A "modified reference scan" approach was developed to remove the effect of surface moisture on GPR signals during density monitoring. The "modified reference scan" approach was first validated in a laboratory experiment setting, then validated in a field study near Chicago, IL, where GPR antennas were installed on the roller and data were collected during compaction. The results show that GPR is a prospective tool for real-time AC compaction monitoring.
机译:地面穿透雷达(GPR)是一种有效的,可行的和非破坏性工具,用于在压实过程中实时估计沥青混凝土(AC)的密度。然而,当AC路面很薄时,难以估计由于GPR信号分辨率有限而导致的密度。另外,在压实期间施加的表面湿度对GPR信号具有效果,因此影响密度预测精度。在该研究中,基于梯度下降,使用非线性优化方法来恢复AC路面表面反射。开发了一种“改进的参考扫描”方法以在密度监测期间去除表面湿度对GPR信号的影响。在实验室实验环境中首次验证“修改的参考扫描”方法,然后在芝加哥,IL附近的田间研究中验证,其中GPR天线安装在辊子上,在压实期间收集数据。结果表明,GPR是实时AC压实监控的前瞻性工具。

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