Rail temperatures models validated with experimental measurements

Detalhes bibliográficos
Autor(a) principal: Frigeri, Ary Vinicius N.
Data de Publicação: 2022
Outros Autores: Minhoto, Manuel, Piloto, P.A.G., Silva, Dyorgge Alves
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10198/27517
Resumo: Rail temperature plays an important role when understanding and predicting thermal buckling. An energy balance model called CNU was used to simulate rail temperatures, validated with FEA analysis, and compared with experimental measurements. The model uses weather data and accounts for the solar position and shadow effect to improve temperature prediction. Furthermore, a python package is developed to solve the thermal lumped model including specific modifications on the model. The results from the simplified model and Finite Element Analysis (FEA) model are in good agreement. Compared with the collected data, the model reaches the value R² of 0.914.
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spelling Rail temperatures models validated with experimental measurementsRail temperatureFinite element analysisPrediction modelsRail temperature plays an important role when understanding and predicting thermal buckling. An energy balance model called CNU was used to simulate rail temperatures, validated with FEA analysis, and compared with experimental measurements. The model uses weather data and accounts for the solar position and shadow effect to improve temperature prediction. Furthermore, a python package is developed to solve the thermal lumped model including specific modifications on the model. The results from the simplified model and Finite Element Analysis (FEA) model are in good agreement. Compared with the collected data, the model reaches the value R² of 0.914.APAETBiblioteca Digital do IPBFrigeri, Ary Vinicius N.Minhoto, ManuelPiloto, P.A.G.Silva, Dyorgge Alves2023-03-07T12:09:48Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/27517engN. Frigeri, Ary Vinicius; Minhoto, Manuel; Piloto, P.A.G.; Silva, Dyorgge Alves (2022). Rail temperatures models validated with experimental measurements. Mecânica Experimental. ISSN 1646-7078. 34, p: 57-641646-7078info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-12-27T01:16:45Zoai:bibliotecadigital.ipb.pt:10198/27517Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:17:52.727066Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Rail temperatures models validated with experimental measurements
title Rail temperatures models validated with experimental measurements
spellingShingle Rail temperatures models validated with experimental measurements
Frigeri, Ary Vinicius N.
Rail temperature
Finite element analysis
Prediction models
title_short Rail temperatures models validated with experimental measurements
title_full Rail temperatures models validated with experimental measurements
title_fullStr Rail temperatures models validated with experimental measurements
title_full_unstemmed Rail temperatures models validated with experimental measurements
title_sort Rail temperatures models validated with experimental measurements
author Frigeri, Ary Vinicius N.
author_facet Frigeri, Ary Vinicius N.
Minhoto, Manuel
Piloto, P.A.G.
Silva, Dyorgge Alves
author_role author
author2 Minhoto, Manuel
Piloto, P.A.G.
Silva, Dyorgge Alves
author2_role author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Frigeri, Ary Vinicius N.
Minhoto, Manuel
Piloto, P.A.G.
Silva, Dyorgge Alves
dc.subject.por.fl_str_mv Rail temperature
Finite element analysis
Prediction models
topic Rail temperature
Finite element analysis
Prediction models
description Rail temperature plays an important role when understanding and predicting thermal buckling. An energy balance model called CNU was used to simulate rail temperatures, validated with FEA analysis, and compared with experimental measurements. The model uses weather data and accounts for the solar position and shadow effect to improve temperature prediction. Furthermore, a python package is developed to solve the thermal lumped model including specific modifications on the model. The results from the simplified model and Finite Element Analysis (FEA) model are in good agreement. Compared with the collected data, the model reaches the value R² of 0.914.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
2023-03-07T12:09:48Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/27517
url http://hdl.handle.net/10198/27517
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv N. Frigeri, Ary Vinicius; Minhoto, Manuel; Piloto, P.A.G.; Silva, Dyorgge Alves (2022). Rail temperatures models validated with experimental measurements. Mecânica Experimental. ISSN 1646-7078. 34, p: 57-64
1646-7078
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv APAET
publisher.none.fl_str_mv APAET
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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