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Simulation of Void Growth at High Strain-Rate

Published online by Cambridge University Press:  15 February 2011

J. Belak  and
R. Minich
J. Belak
Affiliation:
University of California, Lawrence Livermore National Laboratory, Livermore, CA 95440
R. Minich
Affiliation:
University of California, Lawrence Livermore National Laboratory, Livermore, CA 95440
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Abstract

The dynamic fracture (spallation) of ductile metals is known to initiate through the nucleation and growth of microscopic voids. Here, we apply atomistic molecular dynamics modeling to the early growth of nanoscale (2nm radius) voids in face centered cubic metals using embedded atom potential models. The voids grow through anisotropic dislocation nucleation and emission into a cuboidal shape in agreement with experiment. The mechanism of this nucleation process is presented. The resulting viscous growth exponent at late times is about three times larger than expected from experiment for microscale voids, suggesting either a length scale dependence or a inadequacy of the molecular dynamics model such as the perfect crystal surrounding the void.

Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 539: Symposium M – Fracture & Ductile vs. Brittle Behavior - Theory, Modelling… , 1998 , 257
Copyright
Copyright © Materials Research Society 1999

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References

1. Argon, A.S ed., Topics in Fracture and Fatigue, Springer-Verlag, New York, 1992.Google Scholar
2. Bower, A.F. and Craft, D., Fatigue and Fracture on Eng. Mater and Struct. 21, 611 (1998).Google Scholar
3. Olander, D.R., Fundamental Aspects of Nuclear Reactor Fuel Elements, ERDA (DOE) Technical Information Center, Oak Ridge, 1976.Google Scholar
4. Rinehart, J.S. and Pearson, J., Behavior of Metals Under Impulsive Loads, ASME, Cleveland, 1954 (reprinted by Dover, New York, 1965).Google Scholar
5. McClintok, F.A., J Appl. Mech. 35, 363 (1968).Google Scholar
6. Rice, J.R. and Tracy, D.M., J. Mech. Phys. Solids 17, 201 (1969).Google Scholar
7. Needleman, A., J. Appl. Mech. 39, 964 (1972).Google Scholar
8. Gurson, A.L., J. Eng. Mater Tech. 99, 2 (1977).Google Scholar
9. Barbee, T.W. Jr., Seaman, L., Crewdson, R., and Curran, D., J. Materials 7, 393 (1972).Google Scholar
10. Curan, D.R., Seaman, L., and Shockey, D.A., Phys. Rep. 147, 253 (1987).Google Scholar
11. Meyers, M.A. and Aimone, C.T., Prog. Mater Sci. 28, 1 (1983).Google Scholar
12. Daw, M.S. and Baskes, M.I., Phys. Rev. B 29, 6443 (1984).Google Scholar
13. Oh, D.J. and Johnson, R.A., in Atomistic Simulation of Materials: Beyond Pair Potentials, Vitek, V. and Srolovitz, D.J. eds., Plenum, New York, 1989, p233.Google Scholar
14. Allen, M.P. and Tildesley, D.J., Computer Simulation of Liquids, Clarendon Press, Oxford, 1987.Google Scholar
15. Parrinello, M. and Rahman, A., J. Appl. Phys 52, 7182 (1981).Google Scholar
16. Belak, J., to appear in J. Computer-Aided Mater Design (1998).Google Scholar
17. Stevens, A.L., Davison, L., and Warren, W.E., J. Appl. Phys. 43, 4922 (1972).Google Scholar
18. Zhou, S.J., Beazley, D.M., Lomdahl, P.S., and Holian, B.L., Phys. Rev. Lett. 78, 479 (1997).Google Scholar
19. Bulatov, V., Abraham, F.F., Kubin, L., Devincre, B., and Yip, S., Nature 391, 669 (1998).Google Scholar