Materials Research
Materials research is being performed under the direction of
David
McDowell of Mechanical Engineering.
Simulations of heterogeneous material structure, often at the scale of
microstructure or mesoscopic scales, are essential to constructing the next
generation of constitutive laws for material deformation and damage.
Such finite element, boundary element or finite difference simulations are
key to understanding the physical processes, underlying structure-property
relations, and the statistical components of behavior relevant to engineering
applications and materials processing.
The need for improved parallel computing algorithms in these high
degree-of-freedom simulations of material behavior, often involving
nonlinear material behavior and kinematics, is apparent.
This work emphasizes fundamental issues in modeling of material behavior:
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Effects of material inhomogeneity (phase distribution, phase morphology,
thermal and mechanical coupling among phases and interphase boundaries,
grain boundaries, defect distribution, diffusion paths, phase transformations,
etc.) on deformation and failure processes of materials, taking account of
realistic microstructures and stochastic aspects associated with heterogeneity.
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Development of new computational/mechanics approaches for incorporating
outcomes of computational studies into the development of continuum models for
dissipative processes of evolving material structure.
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By virtue of the nonlinear nature of the governing
equations of the materials of interest, only relatively small
2-D problems can be addressed in a
conventional uniprocessor environment. More realistic scales and
3-D finite element calculations are more effectively carried out in a
parallel computing environment due to their large size and the required
CPU time. As a result, there is a strong incentive to pursue structuring
computer codes for efficient parallel processing.