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Mission and Statement of Work
In Phase 1 of the ASC/ASAP program, the Caltech Center for
Simulation of Dynamic Response of Materials has constructed a proof of concept
for a Virtual shock physics Test Facility (VTF) in which the full three-dimensional
response of a variety of target materials can be simulated for a wide range
of compressive, tensional, and shear loadings, including those produced by
detonation of energetic materials. The goals of the Center were then, and continue
to be, to facilitate simulation of a variety of phenomena in which strong shock
and detonation waves impinge on targets consisting of various combinations
of materials, compute the subsequent dynamic response of the target materials,
and validate these computations against experimental data. Three important
themes have provided the guiding principles for the work during the first five
years: science and modeling development, computational algorithms, and software
integration.
Our goal in Phase II of the Alliance program is centered on the
application of the VTF to a series of integrated multiphysics simulations each
with direct relevance to fundamental scientific issues in the dynamic response
of materials that in turn are directly connected to proposed and existing experiments.
That is, validation will be intrinsically integrated into our research efforts.
We have strucutured a program of research activities in computational
and computer science and an integrated research program in the relevant computational
fluid and solid dynamics to further develop a new generation of multiscale
models that will provide unprecedented fidelity for materials response in both
fluids and solids. In addition to the original three organizing themes of the
Center’s research we have added a fourth significant component for the
second phase of our ASC effort – this theme is validation wherein the
Terascale simulations required for this new level of multiscale modeling and
the corresponding experiments are conducted in a coordinated way and support
each other in pursuit of improved modeling.
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