【摘要】 针对公路路基浅层疏松病害的快速检测，建立充气和充水状态下的多孔型疏松病害模型，并进行雷达波形正演模拟，研究多孔型疏松病害地质雷达响应特征，采用剔除直达波和信号增益的方法加强地质雷达图像特征，并利用复信号技术提取疏松病害的相位、频率和振幅等瞬时属性特征.研究结果表明：对于路基疏松病害，通过分析瞬时振幅图像和单道波瞬时振幅波动，可判断出疏松病害的上界面和结构层界面信息；基于瞬时相位图像，可判断出疏松病害的尺寸、界面信息；根据瞬时频率图像和单道波瞬时频率，以判断出疏松病害下界面位置，且通过现场实例进行可靠性验证，通过复信号处理后瞬时频率剖面存在明显异常，和现场揭露的结果一致.研究成果可为道路病害的智能识别和快速判识提供理论参考.更多还原

【Abstract】 For the rapid detection of shallow layer loosening defects in highway subgrade, porous loose defect models under air-filled and water-filled conditions are established, and GPR forward simulation of waveforms is performed. The GPR response characteristics of porous loose defects under different filling conditions are studied. The direct wave is eliminated and the signal gain is applied to enhance the features of GPR images. The instantaneous attributes of phase, frequency, and amplitude of loose defects are extracted by using complex signal technology. The results indicate that the information of the upper interface and the structural layer interface of the subgrade loose defects can be determined according to the instantaneous amplitude images and the fluctuations of the single-channel wave instantaneous amplitude. Based on the instantaneous phase images, the size and interface information of the loose defects can be determined. According to the instantaneous frequency images and the single-channel wave instantaneous frequency, the position of the lower interface of the defects can be determined. The reliability is verified by field examples. After the complex signal processing, the instantaneous frequency profile shows obvious anomalies, which is consistent with the results revealed on the site. The research results can provide a theoretical reference for intelligent recognition and rapid identification of road defects.更多还原