Probabilistic models for mechanical properties of prestressing strands

Detalhes bibliográficos
Autor(a) principal: Jacinto, Luciano
Data de Publicação: 2012
Outros Autores: Pipa, Manuel, Neves, Luís A. C., Santos, Luís Oliveira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/7696
Resumo: This study focus on the probabilistic modelling of mechanical properties of prestressing strands based on data collected from tensile tests carried out in Laboratório Nacional de Engenharia Civil (LNEC), Portugal, for certification purposes, and covers a period of about 9 years of production. The strands studied were produced by six manufacturers from four countries, namely Portugal, Spain, Italy and Thailand. Variability of the most important mechanicalproperties is examined and the results are compared with the recommendations of the ProbabilisticModel Code, as well as the Eurocodes and earlier studies. The obtained results show a very low variability which, of course, benefits structural safety. Based on those results, probabilistic modelsfor the most important mechanical properties of prestressing strands are proposed.
id RCAP_66c67b67620c5c25275c016b56acaabe
oai_identifier_str oai:run.unl.pt:10362/7696
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Probabilistic models for mechanical properties of prestressing strandsPrestressing strandsProbabilistic modelsTensile strengthBayesian StatisticsThis study focus on the probabilistic modelling of mechanical properties of prestressing strands based on data collected from tensile tests carried out in Laboratório Nacional de Engenharia Civil (LNEC), Portugal, for certification purposes, and covers a period of about 9 years of production. The strands studied were produced by six manufacturers from four countries, namely Portugal, Spain, Italy and Thailand. Variability of the most important mechanicalproperties is examined and the results are compared with the recommendations of the ProbabilisticModel Code, as well as the Eurocodes and earlier studies. The obtained results show a very low variability which, of course, benefits structural safety. Based on those results, probabilistic modelsfor the most important mechanical properties of prestressing strands are proposed.ElsevierRUNJacinto, LucianoPipa, ManuelNeves, Luís A. C.Santos, Luís Oliveira2012-08-03T10:03:48Z2012-112012-11-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/7696eng0950-0618info: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:RCAAP2024-03-11T03:39:11Zoai:run.unl.pt:10362/7696Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:17:26.028897Repositório 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 Probabilistic models for mechanical properties of prestressing strands
title Probabilistic models for mechanical properties of prestressing strands
spellingShingle Probabilistic models for mechanical properties of prestressing strands
Jacinto, Luciano
Prestressing strands
Probabilistic models
Tensile strength
Bayesian Statistics
title_short Probabilistic models for mechanical properties of prestressing strands
title_full Probabilistic models for mechanical properties of prestressing strands
title_fullStr Probabilistic models for mechanical properties of prestressing strands
title_full_unstemmed Probabilistic models for mechanical properties of prestressing strands
title_sort Probabilistic models for mechanical properties of prestressing strands
author Jacinto, Luciano
author_facet Jacinto, Luciano
Pipa, Manuel
Neves, Luís A. C.
Santos, Luís Oliveira
author_role author
author2 Pipa, Manuel
Neves, Luís A. C.
Santos, Luís Oliveira
author2_role author
author
author
dc.contributor.none.fl_str_mv RUN
dc.contributor.author.fl_str_mv Jacinto, Luciano
Pipa, Manuel
Neves, Luís A. C.
Santos, Luís Oliveira
dc.subject.por.fl_str_mv Prestressing strands
Probabilistic models
Tensile strength
Bayesian Statistics
topic Prestressing strands
Probabilistic models
Tensile strength
Bayesian Statistics
description This study focus on the probabilistic modelling of mechanical properties of prestressing strands based on data collected from tensile tests carried out in Laboratório Nacional de Engenharia Civil (LNEC), Portugal, for certification purposes, and covers a period of about 9 years of production. The strands studied were produced by six manufacturers from four countries, namely Portugal, Spain, Italy and Thailand. Variability of the most important mechanicalproperties is examined and the results are compared with the recommendations of the ProbabilisticModel Code, as well as the Eurocodes and earlier studies. The obtained results show a very low variability which, of course, benefits structural safety. Based on those results, probabilistic modelsfor the most important mechanical properties of prestressing strands are proposed.
publishDate 2012
dc.date.none.fl_str_mv 2012-08-03T10:03:48Z
2012-11
2012-11-01T00:00:00Z
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 http://hdl.handle.net/10362/7696
url http://hdl.handle.net/10362/7696
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0950-0618
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
_version_ 1799137821675487232