Overview and Research Thrusts
The Aerospace Engineering
Computational Fluid Dynamics Laboratory (AECFDL) at North Carolina State
University is concerned with developing novel algorithms for solving the
equations governing fluid flow and applying such algorithms toward the
solution of complex engineering problems. Three faculty members, Drs. Jack
R. Edwards, Hassan A. Hassan, and D. Scott Mcrae, (see Faculty page)
direct research performed within the laboratory. Current research thrusts
are centered in four major areas: (see Research page)
-
Transition and turbulence modeling
-
Chemically-reacting and multi-phase flows
-
Simulation of flows within high-speed propulsion devices
-
Meteorological flows
Unique Contributions to the CFD Discipline
Each of these efforts mentioned above leverages CFD algorithms and
modeling techniques developed within the AECFDL. These include:
Low diffusion flux-splitting schemes (LDFSS).
The LDFSS are high-resolution upwind-differencing strategies valid for
real fluid flows at all speeds. Extensions suitable for
multi-component, multi-phase flows have been derived by Dr. Jack
Edwards and his students and have been embedded into several
production-level Navier-Stokes solvers for computing general reactive
and multi-phase flows.
k-z
transition and turbulence models.
The k-z
two-equation model is a novel formulation developed by Dr. Hassan Hassan and his
students. It is coordinate-invariant and is capable of modeling
wall-bounded and free-shear flows with high levels of accuracy. This
model (as well as the Spalart-Allmaras model) has been combined with a
transition prediction framework to yield a unified approach capable of
predicting transitional and turbulent flows. The transition model
itself accounts for Tollmein-Schlicting, second-mode, and high
disturbance environment mechanisms and predicts both the onset and
extent of transition.
Dynamic solution-adaptive gridding algorithms (DSAGA).
Several approaches for dynamic adaptive mesh movement have been
developed by Dr. D. Scott McRae and his students. Extensions suitable
for time-accurate flows, multi-block grids with non-contiguous
interfaces, and unstructured grids have been developed. The techniques
have been applied to a variety of problems, including high-speed inlet
unstart simulations and pollutant source tracking in advanced air
quality prediction models.
Hybrid large-eddy / Reynolds-averaged (LES/RANS)
simulation strategies.
Several approaches for blending RANS
modeling techniques near solid surfaces with LES methods away from
solid surfaces and in free-shear flows have been developed and applied
to internal flows characteristic of high-speed propulsion devices by
Drs. Jack Edwards, Hassan Hassan, and their students. These techniques
are zonal in scope and depend on various flow-dependent blending
functions that distinguish whether RANS or LES techniques are
appropriate for a particular region in the flow.
Immersed Boundary Methods for high Reynolds number flows
Immersed boundary methods are a means of virtually replicating the effects
of an object on the surrounding flow without resorting to a body-fitted
grid. Drs. Edwards and Choi within the AECFDL have developed an
immersed-boundary method that uses power-law interpolations for the velocity
field to remove the conventional restriction to low Reynolds number flows.
The basic technique has been validated extensively for incompressible flows
and is currently being extended to compressible, turbulent, and multi-phase
flows.
[Top]
Facilities
The AECFDL’s in-house computing facility contains several PCs and workstations.
TECPLOT (Amtec Engineering) is used for flow visualization, while GridGen
(Pointwise, Inc.) and GridPro (Program Development Company) are used for mesh
generation. CAD-to-grid capability is provided by licenses for Solidworks and CadFix.
While some calculations are run on local workstations, most utilize NC State’s
1500 + processor Linux Cluster (‘Henry 2’), operated by the
High Perfomance Computing
component of NC State’s Information Technologies Division.
Through a
Partnership program
, the AECFDL has built a sub-cluster containing 150 processing cores that is integrated
within the main Henry 2 cluster.
[Top]
History and Educational Approach
A good description of the past history of the AECFDL and a description
of the educational philosophy of its members was presented as “A
Perspective of CFD Education,” AIAA Paper 99-0911, by Drs. D. Scott McRae
and Jack R. Edwards at the 37th Aerospace Sciences Meeting, Reno, NV,
January 1999 Our course
sequence may be found in the Courses page.
[Top]
|