Throughout this paper, we have treated the finite element computation method
as being perfectly accurate, so that comparisons of elastic results to
experiment were solely a test of how well the reconstructed microstructure
compared to the real microstructure. This is not exactly true, since there
are numerical errors in the finite element
method [18,17].
These are small, however,
and are generally of about the same size or less than the differences seen
between model computations and experimental data for the elastic moduli.
There are also statistical sampling errors associated with the
finite size (
40 µm
of the models we employ to estimate the
elastic properties. Since this is much greater than the correlation
length of the samples (
5 µm
- see Fig. 7) we
again assume these errors to be small.
Therefore, the good agreement between model prediction and experimental data
seen in this paper is good evidence that the model considered is indeed
capturing the main aspects of the experimental microstructure.
We have compared various theoretical results to finite element
computations of the effective Young's modulus Ee for non-particulate
media: a W-Ag composite and two model media (overlapping spheres and a
single-cut Gaussian random field).
The generalized self-consistent method
(derived for particulate composites) did not provide a good
estimate of Ee for the bi-continuous materials considered here.
The standard self-consistent method provided a good estimate for the single-cut
GRF and W-Ag composite. Since the method predicts zero moduli
for porosity above 50% but the solid phase of the
single-cut GRF remains connected up to porosities of around
90% [37] such agreement cannot be general.
Upper bounds, calculated using three-point statistical correlation
functions, provided a good prediction at low contrast
(E1/ E2
6) for each composite. When one of the phases
was completely soft the bounds lost predictive value.
Therefore, for general composites, it is important to
employ numerical computations of the effective moduli.
For accurate numerical prediction of composite properties it
is important that a realistic model be used. Model-based
statistical reconstruction, based on the Joshi-Quiblier-Adler
approach, appears to be a viable route
for microstructural simulation. However, it is important that the models
underlying the procedure be capable of mimicking the composite microstructure.
We have shown how several different models can be employed to find
a useful reconstruction.
A.R. thanks the Australian-American Educational Foundation (Fulbright Commission) for financial support and the Department of Civil Engineering and Operations Research at Princeton University where this work was completed. We also thank the Partnership for High-Performance Concrete program of the National Institute of Standards and Technology for partial support of this work.