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

Le Touz, Nicolas; Dumoulin, Jean; Gennarelli, Gianluca; Soldovieri, Francesco

doi:https://doi.org/10.5194/gi-6-81-2017

Articles | Volume 6, issue 1

https://doi.org/10.5194/gi-6-81-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gi-6-81-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 6, issue 1

Research article

| Highlight paper

|

08 Feb 2017

Research article | Highlight paper |

| 08 Feb 2017

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

Nicolas Le Touz, Jean Dumoulin, Gianluca Gennarelli, and Francesco Soldovieri

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Cumulative views and downloads (calculated since 01 Nov 2016)

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Dec 2016	23	5	0	28
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Feb 2017	93	36	8	137
Mar 2017	70	10	5	85
Apr 2017	55	5	9	69
May 2017	63	13	5	81
Jun 2017	48	28	4	80
Jul 2017	26	29	2	57
Aug 2017	19	23	1	43
Sep 2017	31	24	0	55
Oct 2017	16	12	0	28
Nov 2017	23	15	3	41
Dec 2017	14	11	0	25
Jan 2018	28	8	5	41
Feb 2018	38	15	11	64
Mar 2018	16	27	1	44
Apr 2018	22	22	1	45
May 2018	17	26	2	45
Jun 2018	19	23	0	42
Jul 2018	16	18	1	35
Aug 2018	35	27	3	65
Sep 2018	22	14	1	37
Oct 2018	26	22	3	51
Nov 2018	18	22	0	40
Dec 2018	16	17	0	33
Jan 2019	20	14	2	36
Feb 2019	15	6	2	23
Mar 2019	30	10	2	42
Apr 2019	56	14	1	71
May 2019	36	19	1	56
Jun 2019	39	14	1	54
Jul 2019	38	13	4	55
Aug 2019	47	17	1	65
Sep 2019	28	14	0	42
Oct 2019	35	13	1	49
Nov 2019	26	8	0	34
Dec 2019	27	9	1	37
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Apr 2020	53	3	0	56
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Mar 2021	44	2	0	46
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Aug 2021	43	6	2	51
Sep 2021	43	11	0	54
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Jul 2023	31	6	2	39
Aug 2023	25	7	3	35
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Oct 2023	36	4	3	43
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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.


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