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Modelling adhesive joints with cohesive zone models: effect of the cohesive law shape of the adhesive layer

Title
Modelling adhesive joints with cohesive zone models: effect of the cohesive law shape of the adhesive layer
Type
Article in International Scientific Journal
Year
2013
Authors
Campilho, RDSG
(Author)
Other
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Banea, MD
(Author)
FEUP
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Neto, JABP
(Author)
Other
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da Silva, LFM
(Author)
FEUP
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Journal
Vol. 44
Pages: 48-56
ISSN: 0143-7496
Publisher: Elsevier
Scientific classification
FOS: Engineering and technology > Chemical engineering
Other information
Authenticus ID: P-006-9RK
Abstract (EN): Adhesively-bonded joints are extensively used in several fields of engineering. Cohesive Zone Models (CZM) have been used for the strength prediction of adhesive joints, as an add-in to Finite Element (FE) analyses that allows simulation of damage growth, by consideration of energetic principles. A useful feature of CZM is that different shapes can be developed for the cohesive laws, depending on the nature of the material or interface to be simulated, allowing an accurate strength prediction. This work studies the influence of the CZM shape (triangular, exponential or trapezoidal) used to model a thin adhesive layer in single-lap adhesive joints, for an estimation of its influence on the strength prediction under different material conditions. By performing this study, guidelines are provided on the possibility to use a CZM shape that may not be the most suited for a particular adhesive, but that may be more straightforward to use/implement and have less convergence problems (e.g. triangular shaped CZM), thus attaining the solution faster. The overall results showed that joints bonded with ductile adhesives are highly influenced by the CZM shape, and that the trapezoidal shape fits best the experimental data. Moreover, the smaller is the overlap length (L-o), the greater is the influence of the CZM shape. On the other hand, the influence of the CZM shape can be neglected when using brittle adhesives, without compromising too much the accuracy of the strength predictions.
Language: English
Type (Professor's evaluation): Scientific
Contact: raulcampilho@gmail.com
No. of pages: 9
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