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Science Highlights: Advanced Scientific Computing Research and Other Projects |
A
Numerical Study of Acceleration-Driven Fluid Interface Instabilities |
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We will conduct definitive simulations of acceleration-driven fluid mixing, including the steady acceleration driven Rayleigh-Taylor instability and the shock driven Richtmyer-Meshkov instability. A Rayleigh-Taylor
unstable mixing layer results from steady acceleration applied to a randomly
perturbed initial interface separating fluids of distinct densities, with
the light fluid pushing the heavy fluid. The reported experimental value
for the effective acceleration rate, The shock-driven Richtmyer-Meshkov instability develops more slowly, and for this reason, the solution is more strongly dependent on initial parameters which are poorly understood. Our simulation study will explore these physical parameters.
We used the front tracking method to study RT and RM instabilities. Front tracking features high resolution of physical quantities at the material interface, thus giving a more accurate solution to the physical problem. Both grid-based and grid-free tracking methods are used at different stages of the simulation. We have implemented the front tracking method in a software package known as the FronTier. This code is written in C and is portable to various parallel computational platforms including the Cray T3E. FronTier has recently been extended to 3D and is ready for production usage.
Accomplishments A primary accomplishment
was a simulation of the RT random surface instability in 3D which is consistent
with experimental values for the growth rate of the bubble interface.
We also extended FronTier to handle simulations in cylindrical (r,
Acceleration-driven
fluid mixing instabilities play important roles in inertially confined
nuclear fusion and stockpile stewardship reseasrch. Turbulent mixing is
a difficult and centrally important issue for fluid dynamics, and impacts
such questions as the rate of heat transfer by the Gulf Stream, resistance
of pipes to fluid flow, combustion rates in automotive engines, and the
late-time evolution of a supernova. Our computational study will provide
a better understanding of the development of these instabilities. Publications J. Glimm, M. J. Graham, J. Grove, X. L. Li, T. M. Smith, D. Tan, F. Tangerman, and Q. Zhang, "Front tracking in two and three dimensions," J. Comp. Math. 7, 1 (1998). J. Glimm, D. Saltz, and D. H. Sharp, "Statistical evolution of chaotic fluid mixing," Phys. Rev. Lett. 80, 712 (1998). |
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