2004
DOI: 10.1016/s0013-7944(03)00216-9
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Application of an extended void growth model with strain hardening and void shape evolution to ductile fracture under axisymmetric tension

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Cited by 64 publications
(39 citation statements)
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“…For the purpose of coalescence modeling, the shape evolution of an axisymmetric void can be readily incorporated into the GTN model using the semi-empirical equations of Ragab (2004b). The influence of the void shape is not considered in the GTN yield criterion as the porosity is defined based on the volume fraction of voids in the material.…”
Section: Evolution Of Void Shape and Unit Cellmentioning
confidence: 99%
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“…For the purpose of coalescence modeling, the shape evolution of an axisymmetric void can be readily incorporated into the GTN model using the semi-empirical equations of Ragab (2004b). The influence of the void shape is not considered in the GTN yield criterion as the porosity is defined based on the volume fraction of voids in the material.…”
Section: Evolution Of Void Shape and Unit Cellmentioning
confidence: 99%
“…While the influence of void volume fraction on material softening is considered, knowledge of the void geometry is critical for accurate coalescence modeling. The Ragab (2004b) equations enable us to account for the influence of void shape on coalescence while maintaining the relatively simple GTN model. According to Ragab (2004b), the void aspect ratio is expressed as λ 1 = R y /R x as shown in Fig.…”
Section: Evolution Of Void Shape and Unit Cellmentioning
confidence: 99%
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“…The strain hardening of the matrix also could reduce the prediction of these types of models. 33) Meanwhile, there were several reports demonstrating that the evolution of R was in fair agreement with two models in case of calculating with a limited number of the relatively large voids which were only concerned with growth [8][9][10]13,18) and replacing the initial value of α by a specific constant depending on a material and T state allowed them to be more valid. 9,18) These two items seem to be valuable for making the prediction better.…”
Section: )mentioning
confidence: 90%
“…Due to its inherent upperbound formulation, the Gurson model is rather rigid and tends to overestimate the material behaviour. Calibration parameters were soon introduced into the yield criterion by Tvergaard (1981) and later by Faleskog (1998) and Ragab (2004) to shrink and adjust the yield surface to better reflect the material behaviour obtained from finite-element simulations of voided unit cells.…”
Section: Introductionmentioning
confidence: 99%