Strain-path dependent hardening models with rigorously identical predictions under monotonic loading

Detalhes bibliográficos
Autor(a) principal: Yang, Yanfeng
Data de Publicação: 2021
Outros Autores: Vincze, Gabriela, Baudouin, Cyrille, Chalal, Hocine, Balan, Tudor
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/34060
Resumo: Accurate sheet metal simulation often requires advanced strain-path dependent material models, in order to predict the material response under complex loading conditions, including monotonic, reverse and orthogonal paths. More and more flexible models imply higher and higher costs in terms of parameter identification, computer implementation and simulation time, and robust comparison is often compromised by the inconsistent predictions of advanced models under monotonic loading. In this paper, a simple and general approach is proposed for the alteration of advanced hardening models in order to make them rigorously identical to each other under monotonic loading. This objective was reached without any drawback other than the addition of the corresponding equations. On the contrary, the flexibility and accuracy of the selected models was improved, and the parameter identification procedure became simpler, more accurate and more robust. Three material models of increasing complexity were selected to demonstrate the interest of this approach with respect to a complete set of characterisation experiments for a DP600 sheet steel.
id RCAP_cc16cb47bd80bf4d10039de83435829d
oai_identifier_str oai:ria.ua.pt:10773/34060
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Strain-path dependent hardening models with rigorously identical predictions under monotonic loadingStrain-path changeHardening modelParameter identificationSheet metalMaterial characterizationAccurate sheet metal simulation often requires advanced strain-path dependent material models, in order to predict the material response under complex loading conditions, including monotonic, reverse and orthogonal paths. More and more flexible models imply higher and higher costs in terms of parameter identification, computer implementation and simulation time, and robust comparison is often compromised by the inconsistent predictions of advanced models under monotonic loading. In this paper, a simple and general approach is proposed for the alteration of advanced hardening models in order to make them rigorously identical to each other under monotonic loading. This objective was reached without any drawback other than the addition of the corresponding equations. On the contrary, the flexibility and accuracy of the selected models was improved, and the parameter identification procedure became simpler, more accurate and more robust. Three material models of increasing complexity were selected to demonstrate the interest of this approach with respect to a complete set of characterisation experiments for a DP600 sheet steel.Elsevier2023-06-01T00:00:00Z2021-06-01T00:00:00Z2021-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/34060eng0093-641310.1016/j.mechrescom.2020.103615Yang, YanfengVincze, GabrielaBaudouin, CyrilleChalal, HocineBalan, Tudorinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:57:15Zoai:ria.ua.pt:10773/34060Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:01:53.379581Repositório 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 Strain-path dependent hardening models with rigorously identical predictions under monotonic loading
title Strain-path dependent hardening models with rigorously identical predictions under monotonic loading
spellingShingle Strain-path dependent hardening models with rigorously identical predictions under monotonic loading
Yang, Yanfeng
Strain-path change
Hardening model
Parameter identification
Sheet metal
Material characterization
title_short Strain-path dependent hardening models with rigorously identical predictions under monotonic loading
title_full Strain-path dependent hardening models with rigorously identical predictions under monotonic loading
title_fullStr Strain-path dependent hardening models with rigorously identical predictions under monotonic loading
title_full_unstemmed Strain-path dependent hardening models with rigorously identical predictions under monotonic loading
title_sort Strain-path dependent hardening models with rigorously identical predictions under monotonic loading
author Yang, Yanfeng
author_facet Yang, Yanfeng
Vincze, Gabriela
Baudouin, Cyrille
Chalal, Hocine
Balan, Tudor
author_role author
author2 Vincze, Gabriela
Baudouin, Cyrille
Chalal, Hocine
Balan, Tudor
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Yang, Yanfeng
Vincze, Gabriela
Baudouin, Cyrille
Chalal, Hocine
Balan, Tudor
dc.subject.por.fl_str_mv Strain-path change
Hardening model
Parameter identification
Sheet metal
Material characterization
topic Strain-path change
Hardening model
Parameter identification
Sheet metal
Material characterization
description Accurate sheet metal simulation often requires advanced strain-path dependent material models, in order to predict the material response under complex loading conditions, including monotonic, reverse and orthogonal paths. More and more flexible models imply higher and higher costs in terms of parameter identification, computer implementation and simulation time, and robust comparison is often compromised by the inconsistent predictions of advanced models under monotonic loading. In this paper, a simple and general approach is proposed for the alteration of advanced hardening models in order to make them rigorously identical to each other under monotonic loading. This objective was reached without any drawback other than the addition of the corresponding equations. On the contrary, the flexibility and accuracy of the selected models was improved, and the parameter identification procedure became simpler, more accurate and more robust. Three material models of increasing complexity were selected to demonstrate the interest of this approach with respect to a complete set of characterisation experiments for a DP600 sheet steel.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-01T00:00:00Z
2021-06
2023-06-01T00:00:00Z
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/10773/34060
url http://hdl.handle.net/10773/34060
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0093-6413
10.1016/j.mechrescom.2020.103615
dc.rights.driver.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
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_ 1799137674598023168