The first example focuses upon a generic wing-body configuration at
,
,
which emerged from
an industrial design process [4]. The block-structured
computational grid consists of roughly 2.2 million nodes in 48 blocks
with
in the range of 0.3
Y
5 for the points closest to the walls.
Fig.1 illustrates the geometry and the pressure distribution.
Since the wing as highly optimised for transonic cruise conditions the flow separates at
the leading edge in large areas on the outer wing due to the high angle of attack chosen here.
Both one-equation models cannot capture the structure of the flow at separation,
nonetheless, Fig.1 reveals that the results for the SALSA model come close
to explicit algebraic stress models (EASM).
The second example refers to the results obtained for the
simulation of the 2D flow around an ONERA A-Airfoil at
,
and an angle of attack
[5].
The simulation is performed on a C-type, block-structured
grid consisting of 281x78 volumes with fixed transition at 12% and 30% chordlength
on the upper and lower side, respectively, of the profile.
The testcase features a laminar (pre-transitional) separation in conjunction with
a pressure induced trailing-edge separation downstream of
of the suction side.
Results depicted by Fig.2 reveal that the flow reversal is underestimated
with any model. The suggested SALSA model is closest to the experiments, which is caused
by a better representation of the near-wall distribution of the shear stress
.
In comparison to the SA approach, the present
model returns approximately 10% smaller skin-friction values along the equilibrium part of
the suction side of the airfoil.
Downstream of
, the predicted displacement thickness of the SALSA model exceeds
the SA value by 90 %, which are still more than 10 % smaller than experimental
data.
Finally, the predicted pressure distributions around a an RAE-2822 airfoil [6] exhibiting weak (case 9) and strong (case 10) shock-boundary-layer interaction are presented in figure 3. All models reasonably capture the experimental results for less-challenging case 9. For case 10, the considerable predictive differences occur. However, neither model is able to render the correct pressure level on the upper surface in the recovery regime aft of the shock.