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Geoscientific Instrumentation, Methods and Data Systems An interactive open-access journal of the European Geosciences Union
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Volume 6, issue 1
Geosci. Instrum. Method. Data Syst., 6, 81–92, 2017
https://doi.org/10.5194/gi-6-81-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Instrum. Method. Data Syst., 6, 81–92, 2017
https://doi.org/10.5194/gi-6-81-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 08 Feb 2017

Research article | 08 Feb 2017

A joint thermal and electromagnetic diagnostics approach for the inspection of thick walls

Nicolas Le Touz et al.

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Cited articles

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Alperovich, L., Eppelbaum, L., Zheludev, V., Dumoulin, J., Soldovieri, F., Proto, M., Bavusi, M., and Loperte, A.: A new combined wavelet methodology applied to GPR and ERT data in the Montagnole experiment (French Alps), J. Geophys. Eng., 10, 1–17, 2013.
Bal, G., Naetar, W., Scherzer, O., and Schotland, J.: The Levenberg–Marquardt iteration for numerical inversion of the power density operator, J. Inverse Ill-Posed Probl., 21, 265–280, 2012.
Beck, J. and Blackwell, B. S. C.: Inverse heat conduction: ill-posed problems, Wiley, New York, 1985.
Brouns, J.: Développement d'outils numériques pour l'audit énergétique des bâtiments, PhD thesis, Université Paris-Est, École doctorale SIE, 2014.
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A numerical inversion approach to detect and localize inclusions in thick walls under quasi-periodic natural solicitations is presented. It is based on a preliminary analysis of surface temperature field evolution with time. This analysis is improved by taking advantage of a priori information provided by ground-penetrating radar reconstructions. In this way, it is possible to improve the accuracy of the images achievable with the stand-alone thermal reconstruction method.
A numerical inversion approach to detect and localize inclusions in thick walls under...
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