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IRT and GPR Techniques for Moisture Detection and Characterisation in Buildings

The integrity, comfort, and energy demand of a building can be negatively affected by the presence of moisture in its walls. Therefore, it is essential to identify and characterise this building pathology with the most appropriate technologies to perform the required prevention and maintenance tasks...

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Autores principales: Garrido, Iván, Solla, Mercedes, Lagüela, Susana, Fernández, Norberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696806/
https://www.ncbi.nlm.nih.gov/pubmed/33182756
http://dx.doi.org/10.3390/s20226421
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author Garrido, Iván
Solla, Mercedes
Lagüela, Susana
Fernández, Norberto
author_facet Garrido, Iván
Solla, Mercedes
Lagüela, Susana
Fernández, Norberto
author_sort Garrido, Iván
collection PubMed
description The integrity, comfort, and energy demand of a building can be negatively affected by the presence of moisture in its walls. Therefore, it is essential to identify and characterise this building pathology with the most appropriate technologies to perform the required prevention and maintenance tasks. This paper proposes the joint application of InfraRed Thermography (IRT) and Ground-Penetrating Radar (GPR) for the detection and classification of moisture in interior walls of a building according to its severity level. The IRT method is based on the study of the temperature distribution of the thermal images acquired without an application of artificial thermal excitation for the detection of superficial moisture (less than 15 mm deep in plaster with passive IRT). Additionally, in order to characterise the level of moisture severity, the Evaporative Thermal Index (ETI) was obtained for each of the moisture areas. As for GPR, with measuring capacity from 10 mm up to 30 cm depth with a 2300 MHz antenna, several algorithms were developed based on the amplitude and spectrum of the received signals for the detection and classification of moisture through the inner layers of the wall. In this work, the complementarity of both methods has proven to be an effective approach to investigate both superficial and internal moisture and their severity. Specifically, IRT allowed estimating superficial water movement, whereas GPR allowed detecting points of internal water accumulation. Thus, through the combination of both techniques, it was possible to provide an interpretation of the water displacement from the exterior surface to the interior surface of the wall, and to give a relative depth of water inside the wall. Therefore, it was concluded that more information and greater reliability can be gained by using complementary IRT-GPR, showing the benefits of combining both techniques in the building sector.
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spelling pubmed-76968062020-11-29 IRT and GPR Techniques for Moisture Detection and Characterisation in Buildings Garrido, Iván Solla, Mercedes Lagüela, Susana Fernández, Norberto Sensors (Basel) Article The integrity, comfort, and energy demand of a building can be negatively affected by the presence of moisture in its walls. Therefore, it is essential to identify and characterise this building pathology with the most appropriate technologies to perform the required prevention and maintenance tasks. This paper proposes the joint application of InfraRed Thermography (IRT) and Ground-Penetrating Radar (GPR) for the detection and classification of moisture in interior walls of a building according to its severity level. The IRT method is based on the study of the temperature distribution of the thermal images acquired without an application of artificial thermal excitation for the detection of superficial moisture (less than 15 mm deep in plaster with passive IRT). Additionally, in order to characterise the level of moisture severity, the Evaporative Thermal Index (ETI) was obtained for each of the moisture areas. As for GPR, with measuring capacity from 10 mm up to 30 cm depth with a 2300 MHz antenna, several algorithms were developed based on the amplitude and spectrum of the received signals for the detection and classification of moisture through the inner layers of the wall. In this work, the complementarity of both methods has proven to be an effective approach to investigate both superficial and internal moisture and their severity. Specifically, IRT allowed estimating superficial water movement, whereas GPR allowed detecting points of internal water accumulation. Thus, through the combination of both techniques, it was possible to provide an interpretation of the water displacement from the exterior surface to the interior surface of the wall, and to give a relative depth of water inside the wall. Therefore, it was concluded that more information and greater reliability can be gained by using complementary IRT-GPR, showing the benefits of combining both techniques in the building sector. MDPI 2020-11-10 /pmc/articles/PMC7696806/ /pubmed/33182756 http://dx.doi.org/10.3390/s20226421 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Garrido, Iván
Solla, Mercedes
Lagüela, Susana
Fernández, Norberto
IRT and GPR Techniques for Moisture Detection and Characterisation in Buildings
title IRT and GPR Techniques for Moisture Detection and Characterisation in Buildings
title_full IRT and GPR Techniques for Moisture Detection and Characterisation in Buildings
title_fullStr IRT and GPR Techniques for Moisture Detection and Characterisation in Buildings
title_full_unstemmed IRT and GPR Techniques for Moisture Detection and Characterisation in Buildings
title_short IRT and GPR Techniques for Moisture Detection and Characterisation in Buildings
title_sort irt and gpr techniques for moisture detection and characterisation in buildings
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696806/
https://www.ncbi.nlm.nih.gov/pubmed/33182756
http://dx.doi.org/10.3390/s20226421
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