Detection of contact failures with the Markov chain Monte Carlo method by using integral transformed measurements
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRJ |
Texto Completo: | http://hdl.handle.net/11422/8294 |
Resumo: | Indisponível. |
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Abreu, Luiz Alberto da SilvaOrlande, Helcio Rangel BarretoColaço, Marcelo JoséKaipio, JariKolehmainen, VillePacheco, César CunhaCotta, Renato Machado2019-06-05T00:14:03Z2023-11-30T03:03:28Z2018-07-201290-0729http://hdl.handle.net/11422/829410.1016/j.ijthermalsci.2018.06.006Indisponível.This work deals with the solution of an inverse heat conduction problem aiming at the detection of contact failures in layered composites through the estimation of the contact conductance between the layers. The spatially varying contact conductance is estimated using a Bayesian formulation of the problem and a Markov chain Monte Carlo method, with infrared camera measurements of the transient temperature field on the surface of the body. The inverse analysis is formulated using a data compression scheme, where the temperature measurements are integral transformed with respect to the spatial variable. The present approach is evaluated using synthetic measurements and experimental data from controlled laboratory experiments. It is shown that only few transformed modes of the data are required for solving the inverse problem, thus providing substantial reduction of the computational time in the Markov chain Monte Carlo method, as well as regularization of the ill-posed problem.Submitted by Jairo Amaro (jairo.amaro@sibi.ufrj.br) on 2019-06-05T00:14:03Z No. of bitstreams: 1 15-2018_Detection-of-contact-failures-with-the-Markov-chain-Monte-Carlo-method-min.pdf: 903904 bytes, checksum: 13c202c03f5cfd245ed4a42ffbb6a07c (MD5)Made available in DSpace on 2019-06-05T00:14:03Z (GMT). No. of bitstreams: 1 15-2018_Detection-of-contact-failures-with-the-Markov-chain-Monte-Carlo-method-min.pdf: 903904 bytes, checksum: 13c202c03f5cfd245ed4a42ffbb6a07c (MD5) Previous issue date: 2018-07-20engElsevierBrasilNúcleo Interdisciplinar de Dinâmica dos FluidosInternational Journal of Thermal SciencesCNPQ::CIENCIAS EXATAS E DA TERRA::FISICA::AREAS CLASSICAS DE FENOMENOLOGIA E SUAS APLICACOES::DINAMICA DOS FLUIDOSMarkov Chain Monte Carlo methodIntegral transformationHeat tranfersDetection of contact failures with the Markov chain Monte Carlo method by using integral transformed measurementsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article132486497365 diasinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Institucional da UFRJinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJORIGINAL15-2018_Detection-of-contact-failures-with-the-Markov-chain-Monte-Carlo-method-min.pdf15-2018_Detection-of-contact-failures-with-the-Markov-chain-Monte-Carlo-method-min.pdfapplication/pdf903904http://pantheon.ufrj.br:80/bitstream/11422/8294/1/15-2018_Detection-of-contact-failures-with-the-Markov-chain-Monte-Carlo-method-min.pdf13c202c03f5cfd245ed4a42ffbb6a07cMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81853http://pantheon.ufrj.br:80/bitstream/11422/8294/2/license.txtdd32849f2bfb22da963c3aac6e26e255MD5211422/82942023-11-30 00:03:28.601oai:pantheon.ufrj.br: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Repositório de PublicaçõesPUBhttp://www.pantheon.ufrj.br/oai/requestopendoar:2023-11-30T03:03:28Repositório Institucional da UFRJ - Universidade Federal do Rio de Janeiro (UFRJ)false |
dc.title.en.fl_str_mv |
Detection of contact failures with the Markov chain Monte Carlo method by using integral transformed measurements |
title |
Detection of contact failures with the Markov chain Monte Carlo method by using integral transformed measurements |
spellingShingle |
Detection of contact failures with the Markov chain Monte Carlo method by using integral transformed measurements Abreu, Luiz Alberto da Silva CNPQ::CIENCIAS EXATAS E DA TERRA::FISICA::AREAS CLASSICAS DE FENOMENOLOGIA E SUAS APLICACOES::DINAMICA DOS FLUIDOS Markov Chain Monte Carlo method Integral transformation Heat tranfers |
title_short |
Detection of contact failures with the Markov chain Monte Carlo method by using integral transformed measurements |
title_full |
Detection of contact failures with the Markov chain Monte Carlo method by using integral transformed measurements |
title_fullStr |
Detection of contact failures with the Markov chain Monte Carlo method by using integral transformed measurements |
title_full_unstemmed |
Detection of contact failures with the Markov chain Monte Carlo method by using integral transformed measurements |
title_sort |
Detection of contact failures with the Markov chain Monte Carlo method by using integral transformed measurements |
author |
Abreu, Luiz Alberto da Silva |
author_facet |
Abreu, Luiz Alberto da Silva Orlande, Helcio Rangel Barreto Colaço, Marcelo José Kaipio, Jari Kolehmainen, Ville Pacheco, César Cunha Cotta, Renato Machado |
author_role |
author |
author2 |
Orlande, Helcio Rangel Barreto Colaço, Marcelo José Kaipio, Jari Kolehmainen, Ville Pacheco, César Cunha Cotta, Renato Machado |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Abreu, Luiz Alberto da Silva Orlande, Helcio Rangel Barreto Colaço, Marcelo José Kaipio, Jari Kolehmainen, Ville Pacheco, César Cunha Cotta, Renato Machado |
dc.subject.cnpq.fl_str_mv |
CNPQ::CIENCIAS EXATAS E DA TERRA::FISICA::AREAS CLASSICAS DE FENOMENOLOGIA E SUAS APLICACOES::DINAMICA DOS FLUIDOS |
topic |
CNPQ::CIENCIAS EXATAS E DA TERRA::FISICA::AREAS CLASSICAS DE FENOMENOLOGIA E SUAS APLICACOES::DINAMICA DOS FLUIDOS Markov Chain Monte Carlo method Integral transformation Heat tranfers |
dc.subject.eng.fl_str_mv |
Markov Chain Monte Carlo method Integral transformation Heat tranfers |
description |
Indisponível. |
publishDate |
2018 |
dc.date.issued.fl_str_mv |
2018-07-20 |
dc.date.accessioned.fl_str_mv |
2019-06-05T00:14:03Z |
dc.date.available.fl_str_mv |
2023-11-30T03:03:28Z |
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/11422/8294 |
dc.identifier.issn.pt_BR.fl_str_mv |
1290-0729 |
dc.identifier.doi.pt_BR.fl_str_mv |
10.1016/j.ijthermalsci.2018.06.006 |
identifier_str_mv |
1290-0729 10.1016/j.ijthermalsci.2018.06.006 |
url |
http://hdl.handle.net/11422/8294 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.en.fl_str_mv |
International Journal of Thermal Sciences |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.publisher.none.fl_str_mv |
Elsevier |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Núcleo Interdisciplinar de Dinâmica dos Fluidos |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRJ instname:Universidade Federal do Rio de Janeiro (UFRJ) instacron:UFRJ |
instname_str |
Universidade Federal do Rio de Janeiro (UFRJ) |
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UFRJ |
institution |
UFRJ |
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Repositório Institucional da UFRJ |
collection |
Repositório Institucional da UFRJ |
bitstream.url.fl_str_mv |
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