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

• Tipo: Artigo em Revista Científica Internacional
• Data: 2021

Autores

Breite, C (Autor) Outra; Melnikov, A (Autor) Outra; Turon, A (Autor) Outra; de Morais, AB (Autor) Outra; Otero, F (Autor) Outra; Mesquita, F (Autor) Outra; Costa, J (Autor) Outra; Mayugo, JA (Autor) Outra; Guerrero, JM (Autor) Outra; Gorbatikh, L (Autor) Outra; McCartney, LN (Autor) Outra; Hajikazemi, M (Autor) Outra; Camanho, PP (Autor) FEUP; Tavares, RP (Autor) Outra; Lomov, SV (Autor) Outra; Pimenta, S (Autor) Outra; Van Paepegem, W (Autor) Outra; Swolfs, Y (Autor) Outra

Revista

Título: Composites Science and Technology

Vol. 202

ISSN: 0266-3538

Editora: Elsevier

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 3 Citações

Outras Informações

ID Authenticus: P-00T-62R

DOI: 10.1016/j.compscitech.2020.108555

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 11