A bayesian approach for NDT data fusion: The Saint Torcato Church case study

Detalhes bibliográficos
Autor(a) principal: Ramos, Luís F.
Data de Publicação: 2015
Outros Autores: Miranda, Tiago F. S., Mishra, M., Fernandes, Francisco Manuel Carvalho Pinto, Manning, Elizabeth Campbell
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/38270
Resumo: This paper presents a methodology based on the Bayesian data fusion techniques applied to non-destructive and destructive tests for the structural assessment of historical constructions. The aim of the methodology is to reduce the uncertainties of the parameter estimation. The Young's modulus of granite stones was chosen as an example for the present paper. The methodology considers several levels of uncertainty since the parameters of interest are considered random variables with random moments. A new concept of Trust Factor was introduced to affect the uncertainty related to each test results, translated by their standard deviation, depending on the higher or lower reliability of each test to predict a certain parameter.
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spelling A bayesian approach for NDT data fusion: The Saint Torcato Church case studyBayesiannon-destructive methodsminor-destructive methodsdestructive methodssonic testingultrasonic testingYoung’s modulusEngenharia e Tecnologia::Engenharia CivilScience & TechnologyThis paper presents a methodology based on the Bayesian data fusion techniques applied to non-destructive and destructive tests for the structural assessment of historical constructions. The aim of the methodology is to reduce the uncertainties of the parameter estimation. The Young's modulus of granite stones was chosen as an example for the present paper. The methodology considers several levels of uncertainty since the parameters of interest are considered random variables with random moments. A new concept of Trust Factor was introduced to affect the uncertainty related to each test results, translated by their standard deviation, depending on the higher or lower reliability of each test to predict a certain parameter.The authors would like to acknowledge the Fundação para a Ciência e Tecnologia, which supported this research work as a part of the Project “Improved and innovative techniques for the diagnosis and monitoring of historical masonry”, PTDC/ECM/104045/2008.ElsevierUniversidade do MinhoRamos, Luís F.Miranda, Tiago F. S.Mishra, M.Fernandes, Francisco Manuel Carvalho PintoManning, Elizabeth Campbell20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/38270engRamos, L. F., Miranda, T., Mishra, M., Fernandes, F. M., & Manning, E. (2015). A Bayesian approach for NDT data fusion: The Saint Torcato church case study. Engineering Structures, 84, 120-129. doi: 10.1016/j.engstruct.2014.11.0150141-029610.1016/j.engstruct.2014.11.015info: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:RCAAP2023-07-21T12:42:05Zoai:repositorium.sdum.uminho.pt:1822/38270Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:39:14.842505Repositório 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 A bayesian approach for NDT data fusion: The Saint Torcato Church case study
title A bayesian approach for NDT data fusion: The Saint Torcato Church case study
spellingShingle A bayesian approach for NDT data fusion: The Saint Torcato Church case study
Ramos, Luís F.
Bayesian
non-destructive methods
minor-destructive methods
destructive methods
sonic testing
ultrasonic testing
Young’s modulus
Engenharia e Tecnologia::Engenharia Civil
Science & Technology
title_short A bayesian approach for NDT data fusion: The Saint Torcato Church case study
title_full A bayesian approach for NDT data fusion: The Saint Torcato Church case study
title_fullStr A bayesian approach for NDT data fusion: The Saint Torcato Church case study
title_full_unstemmed A bayesian approach for NDT data fusion: The Saint Torcato Church case study
title_sort A bayesian approach for NDT data fusion: The Saint Torcato Church case study
author Ramos, Luís F.
author_facet Ramos, Luís F.
Miranda, Tiago F. S.
Mishra, M.
Fernandes, Francisco Manuel Carvalho Pinto
Manning, Elizabeth Campbell
author_role author
author2 Miranda, Tiago F. S.
Mishra, M.
Fernandes, Francisco Manuel Carvalho Pinto
Manning, Elizabeth Campbell
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Ramos, Luís F.
Miranda, Tiago F. S.
Mishra, M.
Fernandes, Francisco Manuel Carvalho Pinto
Manning, Elizabeth Campbell
dc.subject.por.fl_str_mv Bayesian
non-destructive methods
minor-destructive methods
destructive methods
sonic testing
ultrasonic testing
Young’s modulus
Engenharia e Tecnologia::Engenharia Civil
Science & Technology
topic Bayesian
non-destructive methods
minor-destructive methods
destructive methods
sonic testing
ultrasonic testing
Young’s modulus
Engenharia e Tecnologia::Engenharia Civil
Science & Technology
description This paper presents a methodology based on the Bayesian data fusion techniques applied to non-destructive and destructive tests for the structural assessment of historical constructions. The aim of the methodology is to reduce the uncertainties of the parameter estimation. The Young's modulus of granite stones was chosen as an example for the present paper. The methodology considers several levels of uncertainty since the parameters of interest are considered random variables with random moments. A new concept of Trust Factor was introduced to affect the uncertainty related to each test results, translated by their standard deviation, depending on the higher or lower reliability of each test to predict a certain parameter.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-01-01T00:00:00Z
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 https://hdl.handle.net/1822/38270
url https://hdl.handle.net/1822/38270
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Ramos, L. F., Miranda, T., Mishra, M., Fernandes, F. M., & Manning, E. (2015). A Bayesian approach for NDT data fusion: The Saint Torcato church case study. Engineering Structures, 84, 120-129. doi: 10.1016/j.engstruct.2014.11.015
0141-0296
10.1016/j.engstruct.2014.11.015
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 Elsevier
publisher.none.fl_str_mv Elsevier
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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