Issue |
MATEC Web Conf.
Volume 191, 2018
1st International Conference on Non-Destructive Evaluation of Composite Structures (NDECS 2017)
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Article Number | 00010 | |
Number of page(s) | 4 | |
DOI | https://doi.org/10.1051/matecconf/201819100010 | |
Published online | 10 August 2018 |
Sensitivity of the inverse problem solution related to detection of rebars buried in concrete by using GPR scanning
1
Department of Physics, Faculty of Sciences at Tetouan, University Abdelmalek Essaadi, Tetouan 93030, Morocco
2
Department STIC, National School of Applied Sciences at Tetouan, University Abdelmalek Essaadi, Tetouan 93030, Morocco
a
Corresponding author : mechbal.zoubaida@gmail.com
Ground Penetrating Radar is a device which is nowadays largely used in civil engineering applications. Considering a rebar buried in a concrete medium, this work addresses sensitivity of the inverse problem solution associated to identification of the object radius and its depth from B-scan data acquired by the GPR. The approach uses a closed form parameterisation of the hyperbola trace emerging in the radargram as function of the hyperbola apex coordinate along the direction of B-scan, the cover depth, the radius of the object and the relative permittivity of the medium. Estimation of the wave velocity, the hyperbola apex coordinates and the rebar radius was performed through solution of an appropriate nonlinear least mean squares problem. Perturbation analysis was then conducted by assuming that the hyperbola points coordinates, extracted from raw data of radargram, are randomly distributed according to Gaussian densities of probabilities. The effect of the amount of data was also analyzed. The method was implemented in Matlab environment. The obtained results have shown that identification process is extremely sensitive to noise affecting the B-scan raw data, but not to the number of points used in identification.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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