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Accuracy of 2D numerical models towards the prediction of the fire resistance on LSF partition walls

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Resumo:Lightweight steel framing (LSF) walls are commonly used in modern buildings due to their high strength-to -weight ratio and readiness for installation. However, empty cavities within these walls can pose a fire risk if not properly addressed. In order to ensure the fire resistance and performance of LSF walls with empty cavities, various modelling techniques can be employed. Two-dimensional thermal models can also be used to simulate the behaviour of LSF walls with empty cavities in a fire scenario. These models can predict the spread of heat through the empty cavity, allowing designers to identify potential fire hazards and make adjustments to the design to mitigate those risks.Three different computational solution methods were used to compare the fire performance of LSF walls with void cavities. Solution method 1 considers the air-structure interaction in the cavity region. Solution method 2 considers the existence of interface elements for the radiation heat transfer in the cavity region allowing the cavity temperature prediction. Solution method 3 considers the convection and radiation in the cavity region with a prescribed cavity temperature from experiments (hybrid). Solution methods 1 and 3 give a small root mean square error (RMSE), when compared with solution method 2. Solution method 3 gives a better approx-imation because can capture the main fire events during the fire, such as the cracks and fall off. Based on the parametric study, a new proposal is presented to predict the fire resistance by insulation, depending on the gypsum type and thickness.
Autores principais:Piloto, P.A.G.
Outros Autores:Gomes, Stephan; Torres, Leonardo; Couto, Carlos; Real, Paulo Vila
Assunto:Fire LSF walls Computational models Finite volume method Hybrid finite element method
Ano:2023
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
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author Piloto, P.A.G.
author2 Gomes, Stephan
Torres, Leonardo
Couto, Carlos
Real, Paulo Vila
author2_role author
author
author
author
author_facet Piloto, P.A.G.
Gomes, Stephan
Torres, Leonardo
Couto, Carlos
Real, Paulo Vila
author_role author
contributor_name_str_mv Biblioteca Digital do IPB
country_str PT
creators_json_txt [{\"Person.name\":\"Piloto, P.A.G.\",\"Person.identifier.orcid\":\"0000-0003-2834-0501\"},{\"Person.name\":\"Gomes, Stephan\"},{\"Person.name\":\"Torres, Leonardo\"},{\"Person.name\":\"Couto, Carlos\"},{\"Person.name\":\"Real, Paulo Vila\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Biblioteca Digital do IPB
datacite.creators.creator.creatorName.fl_str_mv Piloto, P.A.G.
Gomes, Stephan
Torres, Leonardo
Couto, Carlos
Real, Paulo Vila
datacite.date.Accepted.fl_str_mv 2023-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2020-06-17T08:28:04Z
datacite.date.embargoed.fl_str_mv 2020-06-17T08:28:04Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Fire
LSF walls
Computational models
Finite volume method
Hybrid finite element method
datacite.titles.title.fl_str_mv Accuracy of 2D numerical models towards the prediction of the fire resistance on LSF partition walls
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.creator.none.fl_str_mv Piloto, P.A.G.
Gomes, Stephan
Torres, Leonardo
Couto, Carlos
Real, Paulo Vila
dc.date.Accepted.fl_str_mv 2023-01-01T00:00:00Z
dc.date.available.fl_str_mv 2020-06-17T08:28:04Z
dc.date.embargoed.fl_str_mv 2020-06-17T08:28:04Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10198/22075
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Elsevier
dc.rights.cclincense.fl_str_mv http://creativecommons.org/licenses/by/4.0/
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Fire
LSF walls
Computational models
Finite volume method
Hybrid finite element method
dc.title.fl_str_mv Accuracy of 2D numerical models towards the prediction of the fire resistance on LSF partition walls
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description Lightweight steel framing (LSF) walls are commonly used in modern buildings due to their high strength-to -weight ratio and readiness for installation. However, empty cavities within these walls can pose a fire risk if not properly addressed. In order to ensure the fire resistance and performance of LSF walls with empty cavities, various modelling techniques can be employed. Two-dimensional thermal models can also be used to simulate the behaviour of LSF walls with empty cavities in a fire scenario. These models can predict the spread of heat through the empty cavity, allowing designers to identify potential fire hazards and make adjustments to the design to mitigate those risks.Three different computational solution methods were used to compare the fire performance of LSF walls with void cavities. Solution method 1 considers the air-structure interaction in the cavity region. Solution method 2 considers the existence of interface elements for the radiation heat transfer in the cavity region allowing the cavity temperature prediction. Solution method 3 considers the convection and radiation in the cavity region with a prescribed cavity temperature from experiments (hybrid). Solution methods 1 and 3 give a small root mean square error (RMSE), when compared with solution method 2. Solution method 3 gives a better approx-imation because can capture the main fire events during the fire, such as the cracks and fall off. Based on the parametric study, a new proposal is presented to predict the fire resistance by insulation, depending on the gypsum type and thickness.
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person_str_mv Piloto, P.A.G.
Piloto, P.A.G.
https://www.ciencia-id.pt/0519-449D-6F13
0519-449D-6F13
http://orcid.org/0000-0003-2834-0501
0000-0003-2834-0501
Gomes, Stephan
Torres, Leonardo
Couto, Carlos
Real, Paulo Vila
publishDate 2023
publisher.none.fl_str_mv Elsevier
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spelling engElsevierpt_PTLightweight steel framing (LSF) walls are commonly used in modern buildings due to their high strength-to -weight ratio and readiness for installation. However, empty cavities within these walls can pose a fire risk if not properly addressed. In order to ensure the fire resistance and performance of LSF walls with empty cavities, various modelling techniques can be employed. Two-dimensional thermal models can also be used to simulate the behaviour of LSF walls with empty cavities in a fire scenario. These models can predict the spread of heat through the empty cavity, allowing designers to identify potential fire hazards and make adjustments to the design to mitigate those risks.Three different computational solution methods were used to compare the fire performance of LSF walls with void cavities. Solution method 1 considers the air-structure interaction in the cavity region. Solution method 2 considers the existence of interface elements for the radiation heat transfer in the cavity region allowing the cavity temperature prediction. Solution method 3 considers the convection and radiation in the cavity region with a prescribed cavity temperature from experiments (hybrid). Solution methods 1 and 3 give a small root mean square error (RMSE), when compared with solution method 2. Solution method 3 gives a better approx-imation because can capture the main fire events during the fire, such as the cracks and fall off. Based on the parametric study, a new proposal is presented to predict the fire resistance by insulation, depending on the gypsum type and thickness.application/pdfpt_PTAccuracy of 2D numerical models towards the prediction of the fire resistance on LSF partition wallsPersonalPiloto, P.A.G.DSpacehttp://dspace.org/items/baaee084-ab97-4c95-b636-24ab6bab0e3eDSpacehttp://dspace.org/items/baaee084-ab97-4c95-b636-24ab6bab0e3ePilotoPaulo A.G.Ciência IDhttps://www.ciencia-id.pt0519-449D-6F13ORCIDhttp://orcid.org0000-0003-2834-0501Researcher IDhttps://www.researcherid.comB-4866-2008Scopus Author IDhttps://www.scopus.com6506406159Gomes, StephanTorres, LeonardoCouto, CarlosReal, Paulo VilaHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISSNIsPartOf1290-0729DOIIsPartOf10.1016/j.ijthermalsci.2023.1085112020-06-17T08:28:04Z20232023-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/22075http://purl.org/coar/access_right/c_abf2open accessFireLSF wallsComputational modelsFinite volume methodHybrid finite element method19616183 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal article2023http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/7fb2c78d-a710-42f5-a3eb-d2983d5fa732/downloadInternational Journal of Thermal Sciences
spellingShingle Accuracy of 2D numerical models towards the prediction of the fire resistance on LSF partition walls
Piloto, P.A.G.
Fire
LSF walls
Computational models
Finite volume method
Hybrid finite element method
status SINGLETON
subject.fl_str_mv Fire
LSF walls
Computational models
Finite volume method
Hybrid finite element method
title Accuracy of 2D numerical models towards the prediction of the fire resistance on LSF partition walls
title_full Accuracy of 2D numerical models towards the prediction of the fire resistance on LSF partition walls
title_fullStr Accuracy of 2D numerical models towards the prediction of the fire resistance on LSF partition walls
title_full_unstemmed Accuracy of 2D numerical models towards the prediction of the fire resistance on LSF partition walls
title_short Accuracy of 2D numerical models towards the prediction of the fire resistance on LSF partition walls
title_sort Accuracy of 2D numerical models towards the prediction of the fire resistance on LSF partition walls
topic Fire
LSF walls
Computational models
Finite volume method
Hybrid finite element method
topic_facet Fire
LSF walls
Computational models
Finite volume method
Hybrid finite element method
url http://hdl.handle.net/10198/22075
visible 1