Journal cover Journal topic
Geoscientific Instrumentation, Methods and Data Systems An interactive open-access journal of the European Geosciences Union

Journal metrics

  • IF value: 1.023 IF 1.023
  • IF 5-year<br/> value: 1.557 IF 5-year
    1.557
  • CiteScore<br/> value: 0.86 CiteScore
    0.86
  • SNIP value: indexed SNIP
    indexed
  • SJR value: indexed SJR
    indexed
  • IPP value: indexed IPP
    indexed
  • h5-index value: 10 h5-index 10
Definitions
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.
Volume 6, issue 1
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
Received: 10 Oct 2016 – Discussion started: 01 Nov 2016
Revised: 09 Jan 2017 – Accepted: 10 Jan 2017 – Published: 08 Feb 2017
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, https://doi.org/10.5194/gi-6-81-2017, 2017.
Publications Copernicus
Download
PDF XML
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...
Read more
Citation
Share