Talk
Abstract:
Hybrid Solution of Unsteady Flow Problems Using a Merged Euler/Kinetic
Theory Approach
David
Goldstein
University of Texas at Austin
An adaptive computational technique that couples Nadiga's Adaptive
Discrete Velocity method for solving the Euler equations of
fluid flow with Bird's direct simulation Monte Carlo molecular
method has been used to analyze the unsteady jet evolution from
a slit subject to a pressure differential. This work is motivated
by the need to study thruster plume impingement on spacecraft.
The method adaptively decomposes the domain according to the
degree of local translational non-equilibrium that is quantified
by appropriate breakdown parameters. Disconnected patches that
employ the direct simulation Monte Carlo solution deform adaptively
to track non-equilibrium regions of the flow. The approach allows
one to resolve complicated transient flow structures through
the concentration of a large number of simulated particles in
non-equilibrium regions. The process of interaction between
the continuum and particle domains relies on the continuous
exchange of properties at a common boundary. The novel application
of ghost cells decreases the statistical noise of the Direct
Simulation Monte Carlo property signal across the interface.
Simulations of the jet show that a weak shock wave initially
propagates into the flow followed by the high density jet core.
The flow accelerates through an expansion region bounded by
two shear layers that form a characteristic ``barrel'' structure.
The behavior of the flow is investigated as the jet strikes
a target plate. One-dimensional solutions of a shock tube problem
may also be presented. The hybrid, adaptive shock tube simulation
demonstrates the stability of the interface and the capability
of the adaptive algorithm to capture physical phenomena such
as shock waves, expansion waves and contact discontinuities.
Joint work with Roberto Roveda
and Philip Varghese.
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