Abstract
Surrounding rock quality of underground caverns, which determines the safety and stability, is of great importance in geological engineering. Ground penetrating radar (GPR) has potential to accurately image the subterranean profile. Against two major issues that affect GPR detection, a new method to process GPR data for abnormal underground rocks identification was investigated. An improved amplitude gain function and an elimination method were proposed, which can amplify weak signals and separate true signals from superimposed waveforms, and it was further developed into real-time algorithm. In field measurements, after processing the GPR data of two pre-buried pipelines, the imaging profile can accurately present their locations. Surrounding rock quality of a subterranean cavern was detected by GPR, and the elimination results can clearly show the multi-joint areas. The real-time algorithm has capacity to discover abnormal places during the survey instead of afterwards, which can improve the engineer efficiency.
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