Multiscale analysis for predicting the constitutive tensor effective coefficients of layered composites with micro and macro failures

• Type: Article in International Scientific Journal
• Date: 2019

Authors

Humberto Brito Santana (Author) Other; José Luís Medeiros Thiesen (Author) Other; Ricardo de Medeiros (Author) Other; António Joaquim Mendes Ferreira (Author) FEUP; Reinaldo Rodríguez-Ramos (Author) Other; Volnei Tita (Author) Other

Journal

Title: Applied Mathematical Modelling

Vol. 75

Pages: 250-266

ISSN: 0307-904X

Publisher: Elsevier

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Scopus - 9 Citations

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Other information

Authenticus ID: P-00Q-NKG

DOI: 10.1016/j.apm.2019.05.031

Abstract (EN): The aim of the present work consists of predicting the effective coefficients of constitutive tensor for layered composites with delamination in macro-scale considering the influence of the debonding between fiber and matrix in micro-scale. Thus, a multiscale methodology is proposed to solve this problem. Firstly, the effective coefficients for the micro-scale level are calculated via the Finite Element Method (FEM), considering different degrees of micro failure. By using the micro-scale level homogenization results, the effective coefficients for layered composites are calculated by the Finite Element Method, as well as by Asymptotic Homogenization Method (AHM), considering different extensions of delamination (failures in macro-scale). Results show that the macro-scale analyses are affected by the micro failure, with the most influence of the micro failure in the coefficients C-11*, C-12* C-66*. In addition, when the thickness of the adhesive between layers increases, the effective coefficients decrease with the macro failure (delamination). Comparisons between homogenized and heterogeneous numerical models show that for almost all effective coefficients, there are excellent convergences. Only for the values of C-12*, there are relevant divergences for specific limit cases. Finally, the macro-scale results obtained via FEM and AHM are compared to evaluate the advantageous and disadvantageous of the proposed multiscale methodology.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 17