Dual-frequency correlation back projection algorithm using the dual-frequency GRP to detect the defects of tunnel structure nondestructively
Autor: | Biao Zhou, Xiongyao Xie, Junli Zhai |
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Rok vydání: | 2019 |
Předmět: | |
Zdroj: | 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). |
DOI: | 10.1109/icsidp47821.2019.9173501 |
Popis: | The detection of defects of tunnel structure from surface-based geophysical reflection data is an interesting question in ground-penetrating radar (GPR) research. There are many studies have been executed to effectively solve this problem. But the resolution and accuracy of the results are still inadequate to meet the requirements of detection. Here we present newly developed dual-frequency GPR equipment and imaging algorithm for nondestructive detection of tunnel structure. The imaging algorithm called dual-frequency correlation back projection (DCBP) algorithm is based on dual-frequency radar data. The dual-frequency GPR equipment works well according to the results of test. And our work importantly confirms recent simulation-based findings that DCBP algorithm can bring remarkable signal-to-noise ratio enhancement and suppress the influence of multi-reflection. So it can offer the precise location information of anomalies. Finally we applied the method in the nondestructive detection at 790th~800th rings of International Passenger Center Station of Shanghai rail transit line 12. The concrete lining and steel bar are clearly visible. And the information of thickness of grouting and void in the grouting layer are provided. The actual results appear however very promising. |
Databáze: | OpenAIRE |
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