Identification of inelastic parameters of the 304 stainless steel using multi-objective techniques

Detalhes bibliográficos
Autor(a) principal: Vaz M.*
Data de Publicação: 2017
Outros Autores: Tomiyama M.*
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da Udesc
dARK ID: ark:/33523/001300000hq3d
Texto Completo: https://repositorio.udesc.br/handle/UDESC/10741
Resumo: © 2017 International Center for Numerical Methods in Engineering. All rights reserved.This work addresses identification of inelastic parameters based on an optimization method using a multi-objective technique. The problem consists in determining the best set of parameters which approximate three different tensile tests. The tensile tests use cylindrical specimens of different dimensions manufactured according to the American ASTM E 8M and Brazilian ABNT NBR ISO 6892 technical standards. A tensile load is applied up to macroscopic failure. The objective functions for each tensile test/specimen is computed and a global error measure is determined within the optimization scheme. The Nelder-Mead simplex algorithm is used as the optimization tool. The proposed identification strategy was able to determine the best set of material parameters which approximate all tensile tests up to macroscopic failure.
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spelling Identification of inelastic parameters of the 304 stainless steel using multi-objective techniques© 2017 International Center for Numerical Methods in Engineering. All rights reserved.This work addresses identification of inelastic parameters based on an optimization method using a multi-objective technique. The problem consists in determining the best set of parameters which approximate three different tensile tests. The tensile tests use cylindrical specimens of different dimensions manufactured according to the American ASTM E 8M and Brazilian ABNT NBR ISO 6892 technical standards. A tensile load is applied up to macroscopic failure. The objective functions for each tensile test/specimen is computed and a global error measure is determined within the optimization scheme. The Nelder-Mead simplex algorithm is used as the optimization tool. The proposed identification strategy was able to determine the best set of material parameters which approximate all tensile tests up to macroscopic failure.2024-12-07T20:05:42Z2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectp. 217 - 225https://repositorio.udesc.br/handle/UDESC/10741ark:/33523/001300000hq3dProceedings of the 14th International Conference on Computational Plasticity - Fundamentals and Applications, COMPLAS 20172017-JanuaryVaz M.*Tomiyama M.*engreponame:Repositório Institucional da Udescinstname:Universidade do Estado de Santa Catarina (UDESC)instacron:UDESCinfo:eu-repo/semantics/openAccess2024-12-07T20:53:15Zoai:repositorio.udesc.br:UDESC/10741Biblioteca Digital de Teses e Dissertaçõeshttps://pergamumweb.udesc.br/biblioteca/index.phpPRIhttps://repositorio-api.udesc.br/server/oai/requestri@udesc.bropendoar:63912024-12-07T20:53:15Repositório Institucional da Udesc - Universidade do Estado de Santa Catarina (UDESC)false
dc.title.none.fl_str_mv Identification of inelastic parameters of the 304 stainless steel using multi-objective techniques
title Identification of inelastic parameters of the 304 stainless steel using multi-objective techniques
spellingShingle Identification of inelastic parameters of the 304 stainless steel using multi-objective techniques
Vaz M.*
title_short Identification of inelastic parameters of the 304 stainless steel using multi-objective techniques
title_full Identification of inelastic parameters of the 304 stainless steel using multi-objective techniques
title_fullStr Identification of inelastic parameters of the 304 stainless steel using multi-objective techniques
title_full_unstemmed Identification of inelastic parameters of the 304 stainless steel using multi-objective techniques
title_sort Identification of inelastic parameters of the 304 stainless steel using multi-objective techniques
author Vaz M.*
author_facet Vaz M.*
Tomiyama M.*
author_role author
author2 Tomiyama M.*
author2_role author
dc.contributor.author.fl_str_mv Vaz M.*
Tomiyama M.*
description © 2017 International Center for Numerical Methods in Engineering. All rights reserved.This work addresses identification of inelastic parameters based on an optimization method using a multi-objective technique. The problem consists in determining the best set of parameters which approximate three different tensile tests. The tensile tests use cylindrical specimens of different dimensions manufactured according to the American ASTM E 8M and Brazilian ABNT NBR ISO 6892 technical standards. A tensile load is applied up to macroscopic failure. The objective functions for each tensile test/specimen is computed and a global error measure is determined within the optimization scheme. The Nelder-Mead simplex algorithm is used as the optimization tool. The proposed identification strategy was able to determine the best set of material parameters which approximate all tensile tests up to macroscopic failure.
publishDate 2017
dc.date.none.fl_str_mv 2017
2024-12-07T20:05:42Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio.udesc.br/handle/UDESC/10741
dc.identifier.dark.fl_str_mv ark:/33523/001300000hq3d
url https://repositorio.udesc.br/handle/UDESC/10741
identifier_str_mv ark:/33523/001300000hq3d
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings of the 14th International Conference on Computational Plasticity - Fundamentals and Applications, COMPLAS 2017
2017-January
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv p. 217 - 225
dc.source.none.fl_str_mv reponame:Repositório Institucional da Udesc
instname:Universidade do Estado de Santa Catarina (UDESC)
instacron:UDESC
instname_str Universidade do Estado de Santa Catarina (UDESC)
instacron_str UDESC
institution UDESC
reponame_str Repositório Institucional da Udesc
collection Repositório Institucional da Udesc
repository.name.fl_str_mv Repositório Institucional da Udesc - Universidade do Estado de Santa Catarina (UDESC)
repository.mail.fl_str_mv ri@udesc.br
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