Journal cover Journal topic
Geoscientific Instrumentation, Methods and Data Systems An interactive open-access journal of the European Geosciences Union
Geosci. Instrum. Method. Data Syst., 6, 81-92, 2017
http://www.geosci-instrum-method-data-syst.net/6/81/2017/
doi: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
A joint thermal and electromagnetic diagnostics approach for the inspection of thick walls
Nicolas Le Touz1,2, Jean Dumoulin1,2, Gianluca Gennarelli3, and Francesco Soldovieri3 1IFSTTAR, COSYS-SII, 44344, Bouguenais, France
2Inria, I4S Team, Campus de Beaulieu, 35042, Rennes, France
3CNR, IREA, 328 Via Diocleziano, 80124 Naples, Italy
Abstract. In this study, we present an inversion approach to detect and localize inclusions in thick walls under natural solicitations. The approach is based on a preliminary analysis of surface temperature field evolution with time (for instance acquired by infrared thermography); subsequently, this analysis is improved by taking advantage of a priori information provided by ground-penetrating radar reconstruction of the structure under investigation. In this way, it is possible to improve the accuracy of the images achievable with the stand-alone thermal reconstruction method in the case of quasi-periodic natural excitation.

Citation: Le Touz, N., Dumoulin, J., Gennarelli, G., and Soldovieri, F.: A joint thermal and electromagnetic diagnostics approach for the inspection of thick walls, Geosci. Instrum. Method. Data Syst., 6, 81-92, doi:10.5194/gi-6-81-2017, 2017.
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Short summary
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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