Identification and localization of GPR overlapped signals from double-row rebars

Abstract In radar detection of concrete structures, rebars cause strong reflections, and the waveforms of double-row rebars overlap, making it difficult to identify the echoes from the second row of rebars. Due to structural interference between the rows, the signal from the second row is superimposed with the first-row signal, increasing the overall amplitude. A peak point extraction algorithm is designed to analyze signal changes caused by signal superposition in A-scans. The algorithm selects, corrects, and locates the superimposed signals to determine the characteristics and positions of the second-row rebars. In a tunnel, ground penetrating radar data was automatically analyzed, and the second-row rebar positions were marked after correction. The results show that over 85% of the sampled data for the double-row rebar spacing has a relative error of less than 5%, ensuring the rebar layout in the tunnel meets safety standards.

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Publication Details

Journal
Measurement Science and Technology
Published
2025-04-16
DOI
https://doi.org/10.1088/1361-6501/adcd8c
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Identification and localization of GPR overlapped signals from double-row rebars

Linshan Wang, X. Jessie Yang, Hao Liu, Qun Ma et al.
Measurement Science and Technology
Geophysical Methods and Applications
article

Identification and localization of GPR overlapped signals from double-row rebars

Linshan Wang, X. Jessie Yang, Hao Liu, Qun Ma, Chuan Li, Yawei Wang
article en

Abstract

Abstract In radar detection of concrete structures, rebars cause strong reflections, and the waveforms of double-row rebars overlap, making it difficult to identify the echoes from the second row of rebars. Due to structural interference between the rows, the signal from the second row is superimposed with the first-row signal, increasing the overall amplitude. A peak point extraction algorithm is designed to analyze signal changes caused by signal superposition in A-scans. The algorithm selects, corrects, and locates the superimposed signals to determine the characteristics and positions of the second-row rebars. In a tunnel, ground penetrating radar data was automatically analyzed, and the second-row rebar positions were marked after correction. The results show that over 85% of the sampled data for the double-row rebar spacing has a relative error of less than 5%, ensuring the rebar layout in the tunnel meets safety standards.

Measurement Science and TechnologyVol. 36(5)
Kunming University of Science and Technology (CN), Yunnan University (CN), Geophysical Survey (RU)
National Natural Science Foundation of China
Openalex Percentile: Top 90%
Geophysical Methods and Applications
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