Ground Penetrating Radar (GPR) is largely used nowadays in civil engineering applications as an effective technique of structural monitoring. This paper describes a method using radargram acquired by the GPR for estimating the radius of a steel rebar buried in a concrete massif, which is assumed to be homogeneous and isotopic. Considering the forward problem under B-scan procedure, a closed form mathematical formula was derived for the hyperbola trace appearing as the diffraction pattern provided by a circular steel bar. This equation relates the observed hyperbola parameters in the obtained radargram to the characteristics of the object and those of the host medium where the object is buried. The inverse problem was solved in two steps. Using the extracted raw data in terms of the hyperbola characteristics and Hough transform, the coordinates of the peak hyperbola are identified. Then the wave speed, the rebar radius as well as the coordinates of the rebar centre are estimated by a curve fitting procedure which is based on the selection of an arbitrary set of points on the considered hyperbola. The effect of noise resulting from variations affecting the electromagnetic wave speed was assessed. The noise was assumed to be a random variable and to act additively on the actual ordinates of the hyperbola. The obtained results have shown that the estimation of the rebar radius is very sensitive to the considered level of noise. Noise impedes the retrieval of a bar radius if its magnitude exceeds 5%.
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International Review of Applied Sciences and Engineering
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| 2020 | |
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| Scimago H-index |
5 |
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0,165 |
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Engineering (miscellaneous) Q3 Environmental Engineering Q4 Information Systems Q4 Management Science and Operations Research Q4 Materials Science (miscellaneous) Q4 |
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102/116=0,9 |
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0,26 |
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57 |
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36 |
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23% |
| 2019 | |
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4 |
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0,229 |
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Engineering (miscellaneous) Q2 Environmental Engineering Q3 Information Systems Q3 Management Science and Operations Research Q4 Materials Science (miscellaneous) Q3 |
| Scopus Cite Score |
46/81=0,6 |
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General Engineering 227/299 (Q4) Environmental Engineering 107/132 (Q4) Information Systems 259/300 (Q4) Management Science and Operations Research 136/161 (Q4) Materials Science (miscellaneous) 60/86 (Q3) |
| Scopus SNIP |
0,866 |
| Scopus Cites |
35 |
| Scopus Documents |
47 |
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21% |
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