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Evaluation of Hygrothermal Behaviour in Heritage Buildings through Sensors, CFD Modelling and IRT

Architectural heritage, building materials and interior space are highly susceptible to temperature and relative humidity. A better knowledge of the hygrothermal dynamics inside buildings allows an adequate conservation of heritage. This work compares three non-destructive techniques (NDT), such as...

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Detalles Bibliográficos
Autores principales: Lerma, Carlos, Borràs, Júlia G., Mas, Ángeles, Torner, M. Eugenia, Vercher, Jose, Gil, Enrique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7829947/
https://www.ncbi.nlm.nih.gov/pubmed/33466946
http://dx.doi.org/10.3390/s21020566
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author Lerma, Carlos
Borràs, Júlia G.
Mas, Ángeles
Torner, M. Eugenia
Vercher, Jose
Gil, Enrique
author_facet Lerma, Carlos
Borràs, Júlia G.
Mas, Ángeles
Torner, M. Eugenia
Vercher, Jose
Gil, Enrique
author_sort Lerma, Carlos
collection PubMed
description Architectural heritage, building materials and interior space are highly susceptible to temperature and relative humidity. A better knowledge of the hygrothermal dynamics inside buildings allows an adequate conservation of heritage. This work compares three non-destructive techniques (NDT), such as temperature and relative humidity sensors, finite element simulations (CFD) and thermographic pictures (IRT). The work has made it possible to carry out an assessment of the risk of condensation over a year and to identify affected periods and areas of the building. Sensors and IRT pictures provide real data to validate CFD simulations, facilitating a global analysis of the building. The results provided reflect a great concordance between the NDTs used.
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spelling pubmed-78299472021-01-26 Evaluation of Hygrothermal Behaviour in Heritage Buildings through Sensors, CFD Modelling and IRT Lerma, Carlos Borràs, Júlia G. Mas, Ángeles Torner, M. Eugenia Vercher, Jose Gil, Enrique Sensors (Basel) Article Architectural heritage, building materials and interior space are highly susceptible to temperature and relative humidity. A better knowledge of the hygrothermal dynamics inside buildings allows an adequate conservation of heritage. This work compares three non-destructive techniques (NDT), such as temperature and relative humidity sensors, finite element simulations (CFD) and thermographic pictures (IRT). The work has made it possible to carry out an assessment of the risk of condensation over a year and to identify affected periods and areas of the building. Sensors and IRT pictures provide real data to validate CFD simulations, facilitating a global analysis of the building. The results provided reflect a great concordance between the NDTs used. MDPI 2021-01-14 /pmc/articles/PMC7829947/ /pubmed/33466946 http://dx.doi.org/10.3390/s21020566 Text en © 2021 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
Lerma, Carlos
Borràs, Júlia G.
Mas, Ángeles
Torner, M. Eugenia
Vercher, Jose
Gil, Enrique
Evaluation of Hygrothermal Behaviour in Heritage Buildings through Sensors, CFD Modelling and IRT
title Evaluation of Hygrothermal Behaviour in Heritage Buildings through Sensors, CFD Modelling and IRT
title_full Evaluation of Hygrothermal Behaviour in Heritage Buildings through Sensors, CFD Modelling and IRT
title_fullStr Evaluation of Hygrothermal Behaviour in Heritage Buildings through Sensors, CFD Modelling and IRT
title_full_unstemmed Evaluation of Hygrothermal Behaviour in Heritage Buildings through Sensors, CFD Modelling and IRT
title_short Evaluation of Hygrothermal Behaviour in Heritage Buildings through Sensors, CFD Modelling and IRT
title_sort evaluation of hygrothermal behaviour in heritage buildings through sensors, cfd modelling and irt
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7829947/
https://www.ncbi.nlm.nih.gov/pubmed/33466946
http://dx.doi.org/10.3390/s21020566
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