Estimation of Time-Varying Thermal Contact Conductance in Thermally Thin Plates via MCMC Method

Detalhes bibliográficos
Autor(a) principal: Watanabe, Kenji
Data de Publicação: 2022
Outros Autores: Abreu, Luiz A. S., Knupp, Diego C., Watanabe, Eiji
Tipo de documento: Artigo
Idioma: por
Título da fonte: Vetor (Online)
Texto Completo: https://periodicos.furg.br/vetor/article/view/14304
Resumo: This work deals with the solution of an inverse heat conduction problem to estimate a time-varying thermal contact conductance, in a one-dimensional problem in a composite medium with two thermally thin layers which is heated by a heat flux applied to the upper surface and exposed thermal convection on the bottom surface. The Classic Lumped method was applied to the direct problem mathematical formulation, considering thermally thin plates. This formulation reduces the original problem into two coupled ordinary differential equations, reducing the computational cost needed to solve the associated direct problem, which is solved with the NDSolve function, intrinsic to the Mathematica software. The inverse problem was solved with the Markov Chain Monte Carlo method within a Bayesian approach, applying the classic Metropolis-Hastings algorithm. The method was analyzed from simulated temperature measurements and proved to be capable of estimating a temporal function of the contact thermal conductance. This methodology allows taking into account the uncertainties associated with the parameters present in the models, as well as those associated with the estimation of thermal conductance varying with time, which is not observed in the methods aimed at temporal estimation of the contact thermal conductance currently found in the literature.
id FURG-7_960835f9dc0c54dee6aaf1623fe182ef
oai_identifier_str oai:periodicos.furg.br:article/14304
network_acronym_str FURG-7
network_name_str Vetor (Online)
repository_id_str
spelling Estimation of Time-Varying Thermal Contact Conductance in Thermally Thin Plates via MCMC MethodEstimativa da Variação Temporal de Condutância Térmica de Contato em Placas Termicamente Finas via Método MCMCCondutância térmica de contatoMétodo de Monte Carlo via Cadeias de MarkovClassic LumpedCondutância térmica de contatoMétodo de Monte Carlo via Cadeias de MarkovClassic LumpedThermal contact conductanceMarkov Chain Monte Carlo MethodClassic LumpedClassic LumpedThermal contact conductanceMarkov Chain Monte Carlo MethodThis work deals with the solution of an inverse heat conduction problem to estimate a time-varying thermal contact conductance, in a one-dimensional problem in a composite medium with two thermally thin layers which is heated by a heat flux applied to the upper surface and exposed thermal convection on the bottom surface. The Classic Lumped method was applied to the direct problem mathematical formulation, considering thermally thin plates. This formulation reduces the original problem into two coupled ordinary differential equations, reducing the computational cost needed to solve the associated direct problem, which is solved with the NDSolve function, intrinsic to the Mathematica software. The inverse problem was solved with the Markov Chain Monte Carlo method within a Bayesian approach, applying the classic Metropolis-Hastings algorithm. The method was analyzed from simulated temperature measurements and proved to be capable of estimating a temporal function of the contact thermal conductance. This methodology allows taking into account the uncertainties associated with the parameters present in the models, as well as those associated with the estimation of thermal conductance varying with time, which is not observed in the methods aimed at temporal estimation of the contact thermal conductance currently found in the literature.Este trabalho trata da solução de um problema inverso de condução de calor visando estimar a variação temporal de condutância térmica de contato, num problema unidimensional em um material de duas camadas termicamente finas, aquecidas por meio de um fluxo de calor aplicado na superfície superior e exposto a convecção térmica na superfície inferior. Para a formulação do problema direto, considerando placas termicamente finas, foi utilizado o método Classic Lumped. Esta formulação reduz o problema original em duas equações diferenciais ordinárias acopladas, desta forma, possibilita diminuir o custo computacional necessário para solucionar o problema direto associado, que foi resolvido utilizando a função NDSolve, intrínseca do software Mathematica. Para a solução do problema inverso foi utilizado o método Monte Carlo via Cadeias de Markov, dentro de uma abordagem Bayesiana, aplicando o algoritmo de Metropolis-Hastings. O método foi analisado a partir de medidas simuladas de temperatura e se mostrou capaz para estimar uma função temporal da condutância térmica de contato. Esta metodologia permite levar em conta as incertezas associadas aos parâmetros presentes nos modelos, bem como, àquelas associadas com a estimativa da condutância térmica variando com o tempo, o que não é observado nos métodos voltados para estimativa temporal da condutância térmica de contato encontrados atualmente na literatura.Universidade Federal do Rio Grande2022-12-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.furg.br/vetor/article/view/1430410.14295/vetor.v32i2.14304VETOR - Journal of Exact Sciences and Engineering; Vol. 32 No. 2 (2022); 21-36VETOR - Revista de Ciências Exatas e Engenharias; v. 32 n. 2 (2022); 21-362358-34520102-7352reponame:Vetor (Online)instname:Universidade Federal do Rio Grande (FURG)instacron:FURGporhttps://periodicos.furg.br/vetor/article/view/14304/10002Copyright (c) 2022 VETOR - Revista de Ciências Exatas e Engenhariasinfo:eu-repo/semantics/openAccessWatanabe, KenjiAbreu, Luiz A. S.Knupp, Diego C.Watanabe, Eiji2022-12-28T14:09:24Zoai:periodicos.furg.br:article/14304Revistahttps://periodicos.furg.br/vetorPUBhttps://periodicos.furg.br/vetor/oaigmplatt@furg.br2358-34520102-7352opendoar:2022-12-28T14:09:24Vetor (Online) - Universidade Federal do Rio Grande (FURG)false
dc.title.none.fl_str_mv Estimation of Time-Varying Thermal Contact Conductance in Thermally Thin Plates via MCMC Method
Estimativa da Variação Temporal de Condutância Térmica de Contato em Placas Termicamente Finas via Método MCMC
title Estimation of Time-Varying Thermal Contact Conductance in Thermally Thin Plates via MCMC Method
spellingShingle Estimation of Time-Varying Thermal Contact Conductance in Thermally Thin Plates via MCMC Method
Watanabe, Kenji
Condutância térmica de contato
Método de Monte Carlo via Cadeias de Markov
Classic Lumped
Condutância térmica de contato
Método de Monte Carlo via Cadeias de Markov
Classic Lumped
Thermal contact conductance
Markov Chain Monte Carlo Method
Classic Lumped
Classic Lumped
Thermal contact conductance
Markov Chain Monte Carlo Method
title_short Estimation of Time-Varying Thermal Contact Conductance in Thermally Thin Plates via MCMC Method
title_full Estimation of Time-Varying Thermal Contact Conductance in Thermally Thin Plates via MCMC Method
title_fullStr Estimation of Time-Varying Thermal Contact Conductance in Thermally Thin Plates via MCMC Method
title_full_unstemmed Estimation of Time-Varying Thermal Contact Conductance in Thermally Thin Plates via MCMC Method
title_sort Estimation of Time-Varying Thermal Contact Conductance in Thermally Thin Plates via MCMC Method
author Watanabe, Kenji
author_facet Watanabe, Kenji
Abreu, Luiz A. S.
Knupp, Diego C.
Watanabe, Eiji
author_role author
author2 Abreu, Luiz A. S.
Knupp, Diego C.
Watanabe, Eiji
author2_role author
author
author
dc.contributor.author.fl_str_mv Watanabe, Kenji
Abreu, Luiz A. S.
Knupp, Diego C.
Watanabe, Eiji
dc.subject.por.fl_str_mv Condutância térmica de contato
Método de Monte Carlo via Cadeias de Markov
Classic Lumped
Condutância térmica de contato
Método de Monte Carlo via Cadeias de Markov
Classic Lumped
Thermal contact conductance
Markov Chain Monte Carlo Method
Classic Lumped
Classic Lumped
Thermal contact conductance
Markov Chain Monte Carlo Method
topic Condutância térmica de contato
Método de Monte Carlo via Cadeias de Markov
Classic Lumped
Condutância térmica de contato
Método de Monte Carlo via Cadeias de Markov
Classic Lumped
Thermal contact conductance
Markov Chain Monte Carlo Method
Classic Lumped
Classic Lumped
Thermal contact conductance
Markov Chain Monte Carlo Method
description This work deals with the solution of an inverse heat conduction problem to estimate a time-varying thermal contact conductance, in a one-dimensional problem in a composite medium with two thermally thin layers which is heated by a heat flux applied to the upper surface and exposed thermal convection on the bottom surface. The Classic Lumped method was applied to the direct problem mathematical formulation, considering thermally thin plates. This formulation reduces the original problem into two coupled ordinary differential equations, reducing the computational cost needed to solve the associated direct problem, which is solved with the NDSolve function, intrinsic to the Mathematica software. The inverse problem was solved with the Markov Chain Monte Carlo method within a Bayesian approach, applying the classic Metropolis-Hastings algorithm. The method was analyzed from simulated temperature measurements and proved to be capable of estimating a temporal function of the contact thermal conductance. This methodology allows taking into account the uncertainties associated with the parameters present in the models, as well as those associated with the estimation of thermal conductance varying with time, which is not observed in the methods aimed at temporal estimation of the contact thermal conductance currently found in the literature.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-28
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.furg.br/vetor/article/view/14304
10.14295/vetor.v32i2.14304
url https://periodicos.furg.br/vetor/article/view/14304
identifier_str_mv 10.14295/vetor.v32i2.14304
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.furg.br/vetor/article/view/14304/10002
dc.rights.driver.fl_str_mv Copyright (c) 2022 VETOR - Revista de Ciências Exatas e Engenharias
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 VETOR - Revista de Ciências Exatas e Engenharias
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Rio Grande
publisher.none.fl_str_mv Universidade Federal do Rio Grande
dc.source.none.fl_str_mv VETOR - Journal of Exact Sciences and Engineering; Vol. 32 No. 2 (2022); 21-36
VETOR - Revista de Ciências Exatas e Engenharias; v. 32 n. 2 (2022); 21-36
2358-3452
0102-7352
reponame:Vetor (Online)
instname:Universidade Federal do Rio Grande (FURG)
instacron:FURG
instname_str Universidade Federal do Rio Grande (FURG)
instacron_str FURG
institution FURG
reponame_str Vetor (Online)
collection Vetor (Online)
repository.name.fl_str_mv Vetor (Online) - Universidade Federal do Rio Grande (FURG)
repository.mail.fl_str_mv gmplatt@furg.br
_version_ 1797041760351813632