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ASTM Selected Technical Papers
Fracture Mechanics: 25th Volume
By
F Erdogan
F Erdogan
1
Lehigh University
Symposium Chairman
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ISBN-10:
0-8031-1882-1
ISBN:
978-0-8031-1882-9
No. of Pages:
724
Publisher:
ASTM International
Publication date:
1995

Comprehensive hierarchical modeling of ductile fracture processes will require a knowledge of microstructure, mesoscale and macroscale material response. This discussion focuses on the development of experimental and computational methods suitable for use in hierarchical modeling schemes. The purpose is to explore how discrete, cellular representations of complex geometric phenomena in material damage and fracture can complement the real, continuous representations common in methods such as finite element analysis. Results in three studies are discussed: (i) random hole array experiments studied using finite element methods to simulate microvoid interactions, (ii) the kinematics of mesoscale representative volume element material damage using a cellular model on a massively parallel computer and (iii) video imaging, analysis and simulation of macroscopic fracture surfaces with mesoscale pixel resolution.

1.
Magnusen
,
P.E.
,
Dubensky
,
E. M.
, and
Koss
,
D. A.
, “
The Effect of Void Arrays on Void Linking During Ductile Fracture
”,
Acta Metallurgica
, Vol.
36
, No.
6
,
1988
, pp 1503–1509.
2.
Magnusen
,
P.E.
,
Srolovitz
,
D. J.
and
Koss
,
D. A.
, “
A Simulation of Void Linking During Ductile Microvoid Fracture
”,
Acta Metallurgica
. Vol.
38
, No.
6
,
1990
, pp 1013–1022.
3.
Matic
,
P.
,
Kirby
,
G. C.
and
Jolles
,
M. I.
, “
The Relationship of Tensile Specimen Size and Geometry Effects to Unique Constitutive Parameters for Ductile Materials
,” Proceedings of the Roval Society. Vol.
A417
,
1988
, pp 309–333.
4.
Geltmacher
A.
,
Kirby
,
G.
,
McCorkle
,
L.
,
Matic
,
P.
, and
Koss
,
D.
, “
Experimental and Computational Studies of Random Hole Array Deformation and Coalescence
” (In preparation)
5.
Matic
,
P.
and
Kee
,
A.
, “
Visualization of Material Performance in Terms of Stress States in a Deformed Solid
,” Engineering Fracture Mechanics. (Submitted)
6.
Matic
,
P.
and
Kee
,
A.
, “
A Massively Parallel Cellular Model of Damage Kinematics Using Probabilistic Cellular Automata
” (In preparation.)
7.
Kirby
,
G. C.
, and
Matic
,
P.
, “
A Complex Systems Approach to Metallic Fracture Surface Characterization
,”
Engineering Fracture Mechanics
. Vol.
40
, No.
6
,
1991
, pp 1105–1122.
8.
Matic
,
P.
and
Kirby
,
G.
Fracture Surface Characterization by Cellular Automata
,”
Journal of Physics D: Applied Physics
. (Submitted.)
9.
Goldberg
,
D. E.
,
Genetic Algorithms in Search, Optimization and Machine Learning
,
Addison-Wesley
,
New York
,
1989
.
10.
Richards
,
F. C.
,
Meyer
,
T. P.
and
Packard
,
N. H.
, “
Extracting Cellular Automata Rules Directly from Experimental Data
,”
Phvsica D.
Vol.
45
,
1990
, pp 189–202.
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