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International Journal of Architectural Heritage
Conservation, Analysis, and Restoration
Volume 18, 2024 - Issue 2
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Research Article

Analysis of the GPR signal for moisture detection: application to heritage buildings

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Pages 230-253 | Received 12 Aug 2022, Accepted 19 Oct 2022, Published online: 08 Nov 2022
 

ABSTRACT

Moisture is one of the main causes of degradation of heritage buildings. Early detection of zones affected by moisture is crucial information for preservation and maintenance of those structures. Ground-penetrating radar (GPR) is an effective survey method to assess damage in civil engineering and structures. Several methodologies involving this technique have been applied to determine the extension of damping in concrete, stone, and brick structures. This article summarizes the different signal analysis techniques generally used to detect moisture from GPR data. Four different case studies are included, covering different types of buildings. The case studies include the description of the problem, the results, the methodology (data acquisition, survey parameters, and processing), and the limits and advantages. Comparing the different studies, the limitations and advantages are associated with each type of problem and a final discussion describes other non-destructive testing techniques, numerical simulations and methodologies that could provide more reliable understanding when combined with GPR data.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Correction Statement

This article has been corrected with minor changes. These changes do not impact the academic content of the article.

Additional information

Funding

This work has received funding from the Xunta de Galicia – GAIN – through the project ENDITí [Ref. ED431F 2021/08]. Mercedes Solla acknowledges the grant [RYC2019–026604–I] funded by MCIN/AEI/10.13039/501100011033 and by “ESF Investing in your future”. This research has also been partially funded by the Ministry of Science and Innovation (MICIN) of the Spanish government through a project with reference PID2020-117374RB-I00.

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