The constitutive cohesive traction-separation model of Abaqus was presented and investigated for the simulation of joints bonded with the structural adhesive SikaPower-490. The simple formulation of the model based on a reduced number of nominal stress and strains components and on a limited number of constitutive parameters and its use with interface elements make this model very attractive in terms of modeling and computation time. The parameter identification process is simple and based on fracture mechanics experiments in mode I and mode II: the DCB and the ENF specimen. Finally the set of parameters identified so far is used to simulate an industrial T-joint case study representative of the T-joint joining the rocker to the B-pillar in an automotive body-n-white. The correlation of the measured and computed responses is excellent and validates the use of the cohesive zone model for the FE simulation of larger industrial structures. The computational time is limited by the small thickness of the adhesive leading to an explicit stable time step smaller as the OEM's reference of 1 us for large simulations. This stable time step can be artificially increased by scaling the adhesive stiffness and the mass density. However this can be done only under a certain amount since a too high mass scaling and two low stiffness scaling lead to inaccurate shifted or noisy numerical results. For DCB and ENF specimen, a stable time step bigger than 1 us could be reached whereas it limits to 0.6 us in the T-joint simulations. This stable time step is acceptable for specific investigations and should be valid for large structures in a close future as the power of computers grows continuously.


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    Title :

    Cohesive zone model for the finite element simulation of structural bonded joints: Modelisation, parameters identification and validation


    Contributors:


    Publication date :

    2010


    Size :

    11 Seiten, 6 Bilder, 7 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





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