

Type of Document Dissertation Author Neel, Reece E. Author's Email Address neel@aoe.vt.edu URN etd-72097-155411 Title Advances In Computational Fluid Dynamics: Turbulent Separated Flows And Transonic Potential Flows Degree Doctor of Philosophy Department Aerospace and Ocean Engineering Advisory Committee
Advisor Name Title Robert W. Walters Committee Chair Bernard Grossman Committee Member Joseph A. Schetz Committee Member Roger L. Simpson Committee Member William H. Mason Committee Member Keywords
- CFD
- Full Potential
- Unstructured
- Turbulent
- Separation
Date of Defense 1997-06-06 Availability unrestricted Abstract Computational solutions are presented for flows ranging fromincompressible viscous flows to inviscid transonic flows. The
viscous flow problems are solved using the incompressible
Navier-Stokes equations while the inviscid solutions are attained
using the full potential equation. Results for the
viscous flow problems focus on turbulence modeling when separation is
present. The main focus for the inviscid results is the
development of an unstructured solution algorithm.
The subject dealing with turbulence modeling for separated flows is
discussed first.
Two different test cases are presented. The first flow is a low-speed
converging-diverging duct with a rapid expansion, creating a
large separated flow region. The second case is the flow around a
stationary hydrofoil subject to small, oscillating hydrofoils.
Both cases are computed first in a steady
state environment, and then with unsteady flow conditions imposed.
A special characteristic of the two problems
being studied is the presence of strong adverse pressure
gradients leading to flow detachment and separation.
For the flows with separation, numerical solutions are obtained by
solving the incompressible Navier-Stokes equations. These
equations are solved in a time accurate manner using the
method of artificial compressibility.
The algorithm used is a finite volume, upwind differencing scheme
based on flux-difference splitting of the convective terms.
The Johnson and King turbulence model is employed for modeling
the turbulent flow.
Modifications to the Johnson and King turbulence model are also suggested.
These changes to the model focus mainly on the
normal stress production of energy and
the strong adverse pressure gradient associated with separating flows.
The performance of the Johnson and King model and its modifications,
along with the Baldwin-Lomax model,
are presented in the results.
The modifications had an impact on moving the flow detachment location
further downstream, and increased the sensitivity of the boundary
layer profile to unsteady flow conditions.
Following this discussion is the numerical solution of the full
potential equation.
The full potential equation assumes inviscid,
irrotational flow and can be applied to problems where viscous effects
are small compared to the inviscid flow field and weak normal shocks.
The development of a code
is presented which solves the full potential
equation in a finite volume, cell centered formulation. The unique
feature about this code is that
solutions are attained on unstructured grids. Solutions are computed
in either two or three dimensions. The grid has the flexibility
of being made up of tetrahedra, hexahedra, or prisms.
The flow regime spans from low subsonic speeds up to transonic flows.
For transonic problems,
the density is upwinded using a density biasing technique.
If lift is being produced, the Kutta-Joukowski condition is enforced
for circulation. An implicit algorithm is employed based upon the
Generalized Minimum Residual method. To accelerate convergence,
the Generalized Minimum Residual method is preconditioned.
These and other problems associated with solving the full potential
equation on an unstructured mesh are discussed.
Results are presented for subsonic and transonic flows over bumps,
airfoils, and wings to demonstate the unstructured
algorithm presented here.
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