 
 
 
 
 
   
 ,
, 
 ,
, 
 ) and a supercritical one, where the shock-boundary-layer interaction induces massive separation (``Case 10'',
) and a supercritical one, where the shock-boundary-layer interaction induces massive separation (``Case 10'',  ,
, 
 ,
, 
 ).
). 
Unfortunately, the experiments suffer from
wind tunnel influences, which cannot be quantified a posteriori. Several
corrections have been suggested, however, as, none can be considered superior,
the flow conditions used in [18] have been selected for comparability
reasons. The computations presented here are performed with the TAU solver on
a structured mesh (albeit computed in an unstructured manner) with 
 nodes generated by DLR. Transition is fixed at 3% chord length. Turbulence
models included here are RQEVM + Wilcox
nodes generated by DLR. Transition is fixed at 3% chord length. Turbulence
models included here are RQEVM + Wilcox  -
- and EARSM + Kok
 and EARSM + Kok
 -
- , Wilcox
, Wilcox  -
- serves as baseline reference.
 serves as baseline reference. 
In Figs. 2 and 3, the pressure distribution is given for both cases. Turning
the attention to the shock location, it is evident that Wilcox  -
- ,
while being able to quite accurately predict Case 9, computes the shock about
8% chord length too far downstream for Case 10. In contrast, both EASM results
yield a much better shock location for Case 10, almost identical to the
experiments. Looking at Case 9, it can be seen that, compared to Wilcox, the
results of the EASM are only slightly worse, thus, the over-all gain in
predictive accuracy is encouraging.
,
while being able to quite accurately predict Case 9, computes the shock about
8% chord length too far downstream for Case 10. In contrast, both EASM results
yield a much better shock location for Case 10, almost identical to the
experiments. Looking at Case 9, it can be seen that, compared to Wilcox, the
results of the EASM are only slightly worse, thus, the over-all gain in
predictive accuracy is encouraging. 
 
 
 
 
