Estimation of the Fracture Probability Parameters for Specimens Made by JIS SM490A Steel

Detalhes bibliográficos
Autor(a) principal: Freire,Rafael Magalhães de Melo
Data de Publicação: 2021
Outros Autores: Aihara,Shuji, Shinohara,Armando Hideki, Yoshizu,Shuhei, Mesquita,Petrônio Barros
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Materials research (São Carlos. Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392021000400224
Resumo: Abstract This work established the fracture probability equation for JIS SM490A steel using the computational model supported by the local approach and the standard Crack Tip Opening Displacement (CTOD) fracture toughness experiments. As the experiments were conducted at a low temperature providing conditions for the brittle fracture, the specimen suffers a small plastic deformation until its failure. The computational model tries to represent the experiment results, estimating the scale and shape parameters of the Weibull distribution for the cumulative fracture probability equation. A procedure based on the local approach was executed to find the optimum values for the fracture probability equation. In addition, a plot was provided to show the distribution of likelihood values according to assumed values for the shape and scale parameters. In the end, a comparison between the experimental and predicted statistical distribution of critical CTOD was done successfully, indicating that material toughness can be predicted by the present model.
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spelling Estimation of the Fracture Probability Parameters for Specimens Made by JIS SM490A SteelToughness scatterbrittle fractureWeibull distributionfracture probabilityAbstract This work established the fracture probability equation for JIS SM490A steel using the computational model supported by the local approach and the standard Crack Tip Opening Displacement (CTOD) fracture toughness experiments. As the experiments were conducted at a low temperature providing conditions for the brittle fracture, the specimen suffers a small plastic deformation until its failure. The computational model tries to represent the experiment results, estimating the scale and shape parameters of the Weibull distribution for the cumulative fracture probability equation. A procedure based on the local approach was executed to find the optimum values for the fracture probability equation. In addition, a plot was provided to show the distribution of likelihood values according to assumed values for the shape and scale parameters. In the end, a comparison between the experimental and predicted statistical distribution of critical CTOD was done successfully, indicating that material toughness can be predicted by the present model.ABM, ABC, ABPol2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392021000400224Materials Research v.24 n.4 2021reponame:Materials research (São Carlos. Online)instname:Universidade Federal de São Carlos (UFSCAR)instacron:ABM ABC ABPOL10.1590/1980-5373-mr-2020-0490info:eu-repo/semantics/openAccessFreire,Rafael Magalhães de MeloAihara,ShujiShinohara,Armando HidekiYoshizu,ShuheiMesquita,Petrônio Barroseng2021-06-16T00:00:00Zoai:scielo:S1516-14392021000400224Revistahttp://www.scielo.br/mrPUBhttps://old.scielo.br/oai/scielo-oai.phpdedz@power.ufscar.br1980-53731516-1439opendoar:2021-06-16T00:00Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR)false
dc.title.none.fl_str_mv Estimation of the Fracture Probability Parameters for Specimens Made by JIS SM490A Steel
title Estimation of the Fracture Probability Parameters for Specimens Made by JIS SM490A Steel
spellingShingle Estimation of the Fracture Probability Parameters for Specimens Made by JIS SM490A Steel
Freire,Rafael Magalhães de Melo
Toughness scatter
brittle fracture
Weibull distribution
fracture probability
title_short Estimation of the Fracture Probability Parameters for Specimens Made by JIS SM490A Steel
title_full Estimation of the Fracture Probability Parameters for Specimens Made by JIS SM490A Steel
title_fullStr Estimation of the Fracture Probability Parameters for Specimens Made by JIS SM490A Steel
title_full_unstemmed Estimation of the Fracture Probability Parameters for Specimens Made by JIS SM490A Steel
title_sort Estimation of the Fracture Probability Parameters for Specimens Made by JIS SM490A Steel
author Freire,Rafael Magalhães de Melo
author_facet Freire,Rafael Magalhães de Melo
Aihara,Shuji
Shinohara,Armando Hideki
Yoshizu,Shuhei
Mesquita,Petrônio Barros
author_role author
author2 Aihara,Shuji
Shinohara,Armando Hideki
Yoshizu,Shuhei
Mesquita,Petrônio Barros
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Freire,Rafael Magalhães de Melo
Aihara,Shuji
Shinohara,Armando Hideki
Yoshizu,Shuhei
Mesquita,Petrônio Barros
dc.subject.por.fl_str_mv Toughness scatter
brittle fracture
Weibull distribution
fracture probability
topic Toughness scatter
brittle fracture
Weibull distribution
fracture probability
description Abstract This work established the fracture probability equation for JIS SM490A steel using the computational model supported by the local approach and the standard Crack Tip Opening Displacement (CTOD) fracture toughness experiments. As the experiments were conducted at a low temperature providing conditions for the brittle fracture, the specimen suffers a small plastic deformation until its failure. The computational model tries to represent the experiment results, estimating the scale and shape parameters of the Weibull distribution for the cumulative fracture probability equation. A procedure based on the local approach was executed to find the optimum values for the fracture probability equation. In addition, a plot was provided to show the distribution of likelihood values according to assumed values for the shape and scale parameters. In the end, a comparison between the experimental and predicted statistical distribution of critical CTOD was done successfully, indicating that material toughness can be predicted by the present model.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392021000400224
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392021000400224
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1980-5373-mr-2020-0490
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv ABM, ABC, ABPol
publisher.none.fl_str_mv ABM, ABC, ABPol
dc.source.none.fl_str_mv Materials Research v.24 n.4 2021
reponame:Materials research (São Carlos. Online)
instname:Universidade Federal de São Carlos (UFSCAR)
instacron:ABM ABC ABPOL
instname_str Universidade Federal de São Carlos (UFSCAR)
instacron_str ABM ABC ABPOL
institution ABM ABC ABPOL
reponame_str Materials research (São Carlos. Online)
collection Materials research (São Carlos. Online)
repository.name.fl_str_mv Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR)
repository.mail.fl_str_mv dedz@power.ufscar.br
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