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PMID: 33466946 Published · epublish English Journal Article

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

Sensors (Basel, Switzerland) ·Vol. 21 ·No. 2 ·2021-01-14

Lerma C, Borràs JG, Mas Á, Torner ME, Vercher J, Gil E

Abstract

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.

Keywords
CFD IRT building materials heritage natural convection
作者与单位
共 6 位作者,点击展开单位 / ORCID
Lerma Carlos ORCID
Department of Architectural Constructions, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
Borràs Júlia G
Department of Architectural Constructions, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
Mas Ángeles
Department of Architectural Constructions, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
Torner M Eugenia
Department of Continuous Medium Mechanics and Theory of Structures, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
Vercher Jose ORCID
Department of Architectural Constructions, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
Gil Enrique ORCID
Department of Continuous Medium Mechanics and Theory of Structures, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
Article Info
Journal
Sensors (Basel, Switzerland)
Abbr.
Sensors (Basel)
ISSN
1424-8220
Published
2021-01-14
电子出版
2021-00-14
Language
English
Country/Region
Switzerland
NLM ID
101204366
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