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A D V A N C E D M A T E R I A L S & P R O C E S S E S | F E B R U A R Y / M A R C H 2 0 1 7
2 0
The long-term goal is to discover
reliable phenomenological relation-
ships that relate the time evolving spa-
tial distribution of stress hot spots to
loading conditions, material properties,
and spatial distributions of grain mor-
phology and texture. Initially, the aim
is to predict stress at select points on
grain boundaries from several variables
including grain boundary area, grain
boundary normal relative to shock di-
rection, grain volume, neighbor grain
volume, Taylor factor, difference in
Taylor factor across the grain bound-
ary, and difference in equivalent elas-
tic strain across boundary. An accurate
cross-validated statistical regression
model would provide an understanding
of which mesoscale features are most
important in determining the spatial
distribution of stress hot spots. This
in turn will lead to more well-founded
simulation models to predict macro-
scale behavior of materials under ex-
treme loadings and, eventually, to a
principled understanding of how these
materials fail when subjected to shock.
~AM&P
Formoreinformation:
VeronicaLivescu
is a scientist at Los Alamos National
Laboratory, Materials Science and Tech-
nology Div., MST-8, Los Alamos, NM
87545, 505.667.7537, vlivescu@lanl.
gov,
www.lanl.gov.
References
1. M.A. Meyers and C.T. Aimone,
Prog.
Matl. Sci.
, Vol 28, p 1-96, 1983.
2. A. Molinari and T.W. Wright,
J. Mech.
Phys. Sol.,
Vol 53, p 1476-1504, 2005.
3. G.T. Gray III and J.C. Huang,
Matl.
Sci. Engr.,
Vol A145, p 21-35, 1991.
4. J.P. Escobedo, et al.,
J. App. Phy.,
110, No. 033513, 2011.
5. V. Livescu, J.F. Bingert, and T.A.
Mason,
Matl. Sci. & Engr. A,
556, p 155-
163, 2012.
6. G.T. Gray III, et al., EPJ Web of Con-
ferences, Vol 94, 02006, 2015.
7. B.M. Schroeter and D.L. McDowell,
Intl. J. of Plas.,
Vol 19, p 1355-1376, 2003.
8. G. Spanos, Foreword:
Scripta Mate-
rialia
Viewpoint Set on 3D Characteri-
zation and Analysis of Materials,
Scripta
Matl.,
55:3.
9. M.D. Uchic,
JOM,
58:24, 2006.
10. M.D. Uchic, et al.,
Scripta Matl.,
55, p
23, 2006.
11. G.S. Rohrer, et al.,
Matl. Sci. & Tech.,
26 (6), 2010.
12. S.E. Dillard, et al., IEEE Trans. on
Visualization and Computer Graphics,
Vol 13, No. 6, 2007.
13. E.P. McLean, et al.,
Rev. Sci. Instrum.,
83, 023701, 2012.
14. J. Bingert, et al.,
Dynamic Behav-
ior of Matls.,
Vol 1, p 397-403, Springer,
2014.
15. M.A. Groeber and M.A. Jackson, In-
tegrating Materials and Manufacturing
Innovation, 3:5, 2014.
16. C.A. Bronkhorst, et al.,
J. App. Phy.,
Vol 119, 085103, 2016.
17. C.A. Bronkhorst, et al., An Exper-
imental and Numerical Study of Lo-
calization Behavior of Tantalum and
Stainless Steel,
Intl. J. of Plas.,
22,
p 1304-1335, 2006.
18. C.A. Bronkhorst, et al., Modeling the
Microstructural Evolution of Metallic
Polycrystalline Materials under Local-
ization Conditions,
J. Mech. & Phy. of
Solids,
55, p 2351-2383, 2007.
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