Strength prediction of adhesively bonded joints under cyclic thermal loading using a cohesive zone model

2013 ◽  
Vol 41 ◽  
pp. 6-15 ◽  
Author(s):  
P. Hu ◽  
X. Han ◽  
L.F.M. da Silva ◽  
W.D. Li
Keyword(s):  
Cohesive Zone ◽  
Thermal Loading ◽  
Cohesive Zone Model ◽  
Strength Prediction ◽  
Zone Model ◽  
Bonded Joints ◽  
Adhesively Bonded ◽  
Adhesively Bonded Joints ◽  
Cyclic Thermal Loading

scholarly journals Predicting fatigue damage in adhesively bonded joints using a cohesive zone model

2010 ◽  
Vol 32 (7) ◽  
pp. 1146-1158 ◽  
Author(s):  
H. Khoramishad ◽  
A.D. Crocombe ◽  
K.B. Katnam ◽  
I.A. Ashcroft
Keyword(s):  
Fatigue Damage ◽  
Cohesive Zone ◽  
Cohesive Zone Model ◽  
Zone Model ◽  
Bonded Joints ◽  
Adhesively Bonded ◽  
Adhesively Bonded Joints

scholarly journals Influence of the Cohesive Law Parameters on the Strength Prediction of Adhesively-Bonded Joints

2012 ◽  
Vol 730-732 ◽  
pp. 1000-1005
Author(s):  
Raul D.S.G. Campilho ◽  
Filipe J.P. Chaves ◽  
Arnaldo M.G. Pinto ◽  
Mariana D. Banea ◽  
Lucas F.M. da Silva
Keyword(s):  
Cohesive Zone ◽  
Adhesive Layer ◽  
Strength Prediction ◽  
Bonded Joints ◽  
Fracture Criteria ◽  
Cohesive Law ◽  
Adhesively Bonded ◽  
Adhesively Bonded Joints ◽  
Energy Release Rates ◽  
Joining Process

Adhesive joints are largely employed nowadays as a fast and effective joining process. The respective techniques for strength prediction have also improved over the years. Cohesive Zone Models (CZM’s) coupled to Finite Element Method (FEM) analyses surpass the limitations of stress and fracture criteria and allow modelling damage. CZM’s require the energy release rates in tension (Gn) and shear (Gs) and respective fracture energies in tension (Gnc) and shear (Gsc). Additionally, the cohesive strengths (tn0 for tension and ts0 for shear) must also be defined. In this work, the influence of the CZM parameters of a triangular CZM used to model a thin adhesive layer is studied, to estimate their effect on the predictions. Some conclusions were drawn for the accuracy of the simulation results by variations of each one of these parameters.

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