Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/33066
Title: Blind benchmarking of seven longitudinal tensile failure models for two virtual unidirectional composites
Author: Breite, C.
Melnikov, A.
Turon, A.
Morais, A.B. de
Otero, F.
Mesquita, F.
Costa, J.
Mayugo, J.A.
Guerrero, J.M.
Gorbatikh, L.
McCartney, L.N.
Hajikazemi, M.
Camanho, P.P.
Tavares, R.P.
Lomov, S.V.
Pimenta, S.
Paepegem, W. Van
Swolfs, Y.
Keywords: Strength
Mechanical properties
Computational mechanics
Stress concentrations
Longitudinal tensile failure
Issue Date: 20-Jan-2021
Publisher: Elsevier
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.
Peer review: yes
URI: http://hdl.handle.net/10773/33066
DOI: 10.1016/j.compscitech.2020.108555
ISSN: 0266-3538
Publisher Version: https://www.sciencedirect.com/science/article/pii/S0266353820323472
Appears in Collections:DEM - Artigos
RISCO - Artigos

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