Infrastructure Inspection Research Institute, China Academy of Railway Sciences, Beijing 100081, China.
Southwest Jiaotong University Research Institute (Chengdu) Co., Ltd., Chengdu 610036, China.
Sensors (Basel). 2023 Apr 27;23(9):4343. doi: 10.3390/s23094343.
As the number and length of high-speed railway tunnels increase in China, implicit defects such as insufficient lining thicknesses, voids, and poor compaction have become increasingly common, posing a serious threat to train operation safety. It is, therefore, imperative to conduct a comprehensive census of the defects within the tunnel linings. In response to this problem, this study proposes a high-speed railway tunnel detection method based on vehicle-mounted air-coupled GPR. Building on a forward simulation of air-coupled GPR, the study proposes the F-K filtering and BP migration algorithms based on the practical considerations of random noise and imaging interference from the inherent equipment. Through multi-dimensional quantitative comparisons, these algorithms are shown to improve the spectrum entropy values and instantaneous amplitude ratios by 4.6% and 11.6%; and 120% and 180%, respectively, over the mean and bandpass filtering algorithms, demonstrating their ability to suppress clutter and enhance the internal signal prominence of the lining. The experimental results are consistent with the forward simulation trends, and the verification using the ground-coupled GPR detection confirms that air-coupled GPR can meet the requirements of high-speed railway tunnel lining inspections. A comprehensive GPR detection model is proposed to lay the foundation for a subsequent defect census of high-speed railway tunnels.
随着我国高速铁路隧道数量和长度的增加,衬砌厚度不足、有空洞、不密实等隐性缺陷日益增多,对列车运行安全构成严重威胁。因此,必须对隧道衬砌内的缺陷进行全面普查。针对这一问题,本研究提出了一种基于车载空气耦合探地雷达的高速铁路隧道检测方法。本研究在空气耦合探地雷达正演模拟的基础上,提出了基于随机噪声和固有设备成像干扰实际考虑的 F-K 滤波和 BP 偏移算法。通过多维定量比较,这些算法的频谱熵值和瞬时振幅比分别提高了 4.6%和 11.6%,比均值和带通滤波算法分别提高了 120%和 180%,能够抑制杂波,增强衬砌内部信号的显著性。实验结果与正演模拟趋势一致,使用地面耦合探地雷达检测的验证表明,空气耦合探地雷达能够满足高速铁路隧道衬砌检测的要求。提出了一种全面的探地雷达检测模型,为后续的高速铁路隧道缺陷普查奠定了基础。