Blind benchmarking of seven longitudinal tensile failure models for two virtual unidirectional composites

Many models for prediction of longitudinal tensile failure of unidirectional (UD) composites have been developed in the last decades. These models require significant assumptions and simplifications, but their consequences for the predictions are often not clearly understood. This paper therefore pr...

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Autores: Breite, Christian, Melnikov, Alexander, Turon Travesa, Albert, de Morais, Alfredo Balacó, Otero Gruer, Fermín Enrique|||0000-0002-3776-7550, Mesquita, F, Costa Balanzat, Josep, Mayugo Majó, Joan Andreu, Guerrero García, José María, Gorbatikh, Larissa
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/366386
Acceso en línea:https://hdl.handle.net/2117/366386
https://dx.doi.org/10.1016/j.compscitech.2020.108555
Access Level:acceso abierto
Palabra clave:Composite materials
Mechanical properties
Computational mechanics
Stress concentrations
Longitudinal tensile failure
Materials compostos
Àrees temàtiques de la UPC::Enginyeria dels materials::Materials compostos
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spelling Blind benchmarking of seven longitudinal tensile failure models for two virtual unidirectional compositesBreite, ChristianMelnikov, AlexanderTuron Travesa, Albertde Morais, Alfredo BalacóOtero Gruer, Fermín Enrique|||0000-0002-3776-7550Mesquita, FCosta Balanzat, JosepMayugo Majó, Joan AndreuGuerrero García, José MaríaGorbatikh, LarissaComposite materialsMechanical propertiesComputational mechanicsStress concentrationsLongitudinal tensile failureMaterials compostosÀrees temàtiques de la UPC::Enginyeria dels materials::Materials compostosMany models for prediction of longitudinal tensile failure of unidirectional (UD) composites have been developed in the last decades. These models require significant assumptions and simplifications, but their consequences for the predictions are often not clearly understood. This paper therefore presents a blind benchmark of seven different models applied to two virtual materials. Reliably capturing the localisation of stress concentrations was vital in predicting the effect of matrix stiffness and strength on composite failure strain and strength as well as fibre break and cluster development. Although the models have different assumptions regarding stress re- distributions around fibre breaks, the 2-plet (clusters of two fibre breaks) development was similar. Distance- based criteria were shown to be inadequate for monitoring cluster development. The discussions provide detailed insight into how the model assumptions are linked to the differences in the predictions.20212021-01-0120222022-04-27journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://hdl.handle.net/2117/366386https://dx.doi.org/10.1016/j.compscitech.2020.108555reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3663862026-05-27T15:37:01Z
dc.title.none.fl_str_mv Blind benchmarking of seven longitudinal tensile failure models for two virtual unidirectional composites
title Blind benchmarking of seven longitudinal tensile failure models for two virtual unidirectional composites
spellingShingle Blind benchmarking of seven longitudinal tensile failure models for two virtual unidirectional composites
Breite, Christian
Composite materials
Mechanical properties
Computational mechanics
Stress concentrations
Longitudinal tensile failure
Materials compostos
Àrees temàtiques de la UPC::Enginyeria dels materials::Materials compostos
title_short Blind benchmarking of seven longitudinal tensile failure models for two virtual unidirectional composites
title_full Blind benchmarking of seven longitudinal tensile failure models for two virtual unidirectional composites
title_fullStr Blind benchmarking of seven longitudinal tensile failure models for two virtual unidirectional composites
title_full_unstemmed Blind benchmarking of seven longitudinal tensile failure models for two virtual unidirectional composites
title_sort Blind benchmarking of seven longitudinal tensile failure models for two virtual unidirectional composites
dc.creator.none.fl_str_mv Breite, Christian
Melnikov, Alexander
Turon Travesa, Albert
de Morais, Alfredo Balacó
Otero Gruer, Fermín Enrique|||0000-0002-3776-7550
Mesquita, F
Costa Balanzat, Josep
Mayugo Majó, Joan Andreu
Guerrero García, José María
Gorbatikh, Larissa
author Breite, Christian
author_facet Breite, Christian
Melnikov, Alexander
Turon Travesa, Albert
de Morais, Alfredo Balacó
Otero Gruer, Fermín Enrique|||0000-0002-3776-7550
Mesquita, F
Costa Balanzat, Josep
Mayugo Majó, Joan Andreu
Guerrero García, José María
Gorbatikh, Larissa
author_role author
author2 Melnikov, Alexander
Turon Travesa, Albert
de Morais, Alfredo Balacó
Otero Gruer, Fermín Enrique|||0000-0002-3776-7550
Mesquita, F
Costa Balanzat, Josep
Mayugo Majó, Joan Andreu
Guerrero García, José María
Gorbatikh, Larissa
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Composite materials
Mechanical properties
Computational mechanics
Stress concentrations
Longitudinal tensile failure
Materials compostos
Àrees temàtiques de la UPC::Enginyeria dels materials::Materials compostos
topic Composite materials
Mechanical properties
Computational mechanics
Stress concentrations
Longitudinal tensile failure
Materials compostos
Àrees temàtiques de la UPC::Enginyeria dels materials::Materials compostos
description Many models for prediction of longitudinal tensile failure of unidirectional (UD) composites have been developed in the last decades. These models require significant assumptions and simplifications, but their consequences for the predictions are often not clearly understood. This paper therefore presents a blind benchmark of seven different models applied to two virtual materials. Reliably capturing the localisation of stress concentrations was vital in predicting the effect of matrix stiffness and strength on composite failure strain and strength as well as fibre break and cluster development. Although the models have different assumptions regarding stress re- distributions around fibre breaks, the 2-plet (clusters of two fibre breaks) development was similar. Distance- based criteria were shown to be inadequate for monitoring cluster development. The discussions provide detailed insight into how the model assumptions are linked to the differences in the predictions.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-01-01
2022
2022-04-27
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/366386
https://dx.doi.org/10.1016/j.compscitech.2020.108555
url https://hdl.handle.net/2117/366386
https://dx.doi.org/10.1016/j.compscitech.2020.108555
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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