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

dc.contributor.author
Breite, Christian
dc.contributor.author
Melnikov, Alexander
dc.contributor.author
Turon Travesa, Albert
dc.contributor.author
Morais, Alfredo Balacó de
dc.contributor.author
Otero, Fermin
dc.contributor.author
Mesquita, Francisco
dc.contributor.author
Costa i Balanzat, Josep
dc.contributor.author
Mayugo Majó, Joan Andreu
dc.contributor.author
Guerrero Garcia, José Manuel
dc.contributor.author
Gorbatikh, Larissa
dc.contributor.author
McCartney, Neil
dc.contributor.author
Hajikazemi, Mohammad
dc.contributor.author
Camanho, Pedro Manuel Ponces Rodrigues de Castro
dc.contributor.author
Tavares, Rodrigo Paiva
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Lomov, Stepan V.
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Pimenta, Soraia
dc.contributor.author
Van Paepegem, Wim
dc.contributor.author
Swolfs, Yentl
dc.date.accessioned
2025-02-04T00:07:10Z
dc.date.available
2025-02-04T00:07:10Z
dc.date.issued
2021-01-20
dc.identifier
http://hdl.handle.net/10256/26208
dc.identifier.uri
https://hdl.handle.net/10256/26208
dc.description.abstract
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 redistributions 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
dc.format
application/pdf
dc.language
eng
dc.publisher
Elsevier
dc.relation
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compscitech.2020.108555
dc.relation
info:eu-repo/semantics/altIdentifier/issn/0266-3538
dc.relation
info:eu-repo/semantics/altIdentifier/eissn/1879-1050
dc.rights
Reconeixement-NoComercial-SenseObraDerivada 4.0 Internacional
dc.rights
http://creativecommons.org/licenses/by-nc-nd/4.0
dc.rights
info:eu-repo/semantics/openAccess
dc.source
© Composites Science and Technology, 2020, vol. 202, art.núm.108555
dc.source
Articles publicats (D-EMCI)
dc.source
Breite, Christian Melnikov, Alexander Turon Travesa, Albert Morais, Alfredo Balacó de Otero, Fermin Mesquita, Francisco Costa i Balanzat, Josep Mayugo Majó, Joan Andreu Guerrero Garcia, José Manuel Gorbatikh, Larissa McCartney, Neil Hajikazemi, Mohammad Camanho, Pedro Manuel Ponces Rodrigues de Castro Tavares, Paulo Lomov, Stepan V. Pimenta, Soraia Van Paepegem, Wim Swolfs, Yentl 2020 Blind benchmarking of seven longitudinal tensile failure models for two virtual unidirectional composites Composites Science and Technology 202 art.núm.108555
dc.subject
Materials compostos -- Propietats mecàniques
dc.subject
Composite materials -- Mechanical properties
dc.subject
Concentració de tensions
dc.subject
Stress concentration
dc.title
Blind benchmarking of seven longitudinal tensile failure models for two virtual unidirectional composites
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/acceptedVersion
dc.type
peer-reviewed


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