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oai:recercat.cat:10256/262082025-02-04T00:07:10Zcom_2072_452955com_2072_2054col_2072_453061

Blind benchmarking of seven longitudinal tensile failure models for two virtual unidirectional composites 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, Rodrigo Paiva Lomov, Stepan V. Pimenta, Soraia Van Paepegem, Wim Swolfs, Yentl Materials compostos -- Propietats mecàniques Composite materials -- Mechanical properties Concentració de tensions Stress concentration 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 2021-01-20 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion peer-reviewed http://hdl.handle.net/10256/26208 http://hdl.handle.net/10256/26208 eng info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compscitech.2020.108555 info:eu-repo/semantics/altIdentifier/issn/0266-3538 info:eu-repo/semantics/altIdentifier/eissn/1879-1050 Reconeixement-NoComercial-SenseObraDerivada 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/openAccess application/pdf Elsevier © Composites Science and Technology, 2020, vol. 202, art.núm.108555 Articles publicats (D-EMCI) 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