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Evaluation of Gurson yield function dependencies through large-scale void growth simulations

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Abstract

Numerical simulation of void growth from thousands of randomly distributed particles is used to assess the functional dependence of the Gurson model. Shock loading of the model region followed by a ramped pressure release creates a smoothly varying velocity field in which the void growth is inertially stabilized. The pressure, effective stress, and void fraction are obtained from the simulation for comparison with the Gurson model. The results show that the pressure-void fraction relation from the model reasonably follows the simulation data, but the numerical data exhibit significantly greater void fraction dependence on the effective stress than the Gurson model.

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Acknowledgements

The authors wish to acknowledge use of Frontier time on the Department of Defense High Performance Computers for this work.

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Author notes

  1. Kyle Callaghan

    Present address: Department of Aerospace Engineering, University of Maryland, College Park, College Park, MD, 20742, USA

Authors and Affiliations

  1. Impact Physics Branch, U.S. Army Research Laboratory, Aberdeen Proving Ground, Aberdeen, MD, 21005, USA

    Richard Becker

  2. Academy of Applied Science, 24 Warren Street, Concord, NH, 03301, USA

    Kyle Callaghan

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  1. Richard Becker
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  2. Kyle Callaghan
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Correspondence to Richard Becker.

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Becker, R., Callaghan, K. Evaluation of Gurson yield function dependencies through large-scale void growth simulations. Int J Fract 209, 235–240 (2018). https://doi.org/10.1007/s10704-017-0248-5

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  • DOI: https://doi.org/10.1007/s10704-017-0248-5

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