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• W4313367210 endingPage "103733" @default.
• W4313367210 startingPage "103733" @default.
• W4313367210 abstract "Cohesive zone models are commonly used to numerically model fracture phenomena on the microscale. Typical fracture processes are described experimentally via the Double Cantilever Beam (DCB) test and the End Notched Flexure (ENF) test on the macroscale. Analytical solutions, e.g. the LEFM-based beam theory, are used to evaluate these tests and to validate numerical models. However, some input parameters of cohesive zone models, i.e. cohesive stiffness and cohesive strength, are independent of the analytical solutions. In particular, the cohesive strength has a significant effect on the accuracy of the numerical model compared to the analytical solution and thus needs to be calibrated. This work extends the available literature by fitting the numerical to the analytical solution of the DCB and ENF models through calibration of their cohesive strength by using more suitable and generally applicable criteria. It considers the deformation, the applied load and the crack length of the models. The latter has been neglected so far in the existing literature. Via a parametric study, the derived criteria are minimised to find the best fit to the analytical solution. In addition, the effect of all input parameters and of the numerical element size on the calibrated cohesive strength is investigated. The obtained information can be used to qualify numerical models with coarse meshes to accurately compute the fracture of DCB and ENF models. Further, it provides a comprehensive understanding of the cohesive strength as a modelling parameter." @default.
• W4313367210 created "2023-01-06" @default.
• W4313367210 creator A5024829294 @default.
• W4313367210 creator A5039051070 @default.
• W4313367210 date "2023-04-01" @default.
• W4313367210 modified "2023-10-01" @default.
• W4313367210 title "On the calibration of the cohesive strength for cohesive zone models in finite element analyses" @default.
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• W4313367210 doi "https://doi.org/10.1016/j.tafmec.2022.103733" @default.
• W4313367210 hasPublicationYear "2023" @default.
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