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52<br />
The Parabolised Stability Equations for 3D-Flows:<br />
Implementation and Numerical Stability<br />
M. S. Broadhurst ∗ ,S.J.Sherwin ∗<br />
The numerical implementation of the parabolised stability equations (3D-PSE)<br />
using a substructuring solver - designed to take advantage of a spectral/hp-element<br />
discretisation - is considered. Analogous to the primitive variable form of the twodimensional<br />
PSE 1 , the equations are ill-posed 2 ; although choosing an Euler implicit<br />
scheme in the streamwise z-direction yields a stable scheme for sufficiently large step<br />
∂ ˆp<br />
sizes (∆z >1/|β|, whereβis the streamwise wavenumber). Neglecting the ∂z term<br />
relaxes the lower limit on the step-size restriction. The θ-scheme is also considered,<br />
and the step-size restriction is determined. Neglecting the pressure gradient term<br />
shows stable eigenspectra for θ ≥ 0.5. For θ = 0.5, the formulation corresponds to the<br />
second order Cranck-Nicholson scheme. Consequently, for identical step-sizes in the<br />
streamwise direction, the truncation error will be lower than the Euler implicit scheme,<br />
and this can be taken advantage of when solving the 3D-PSE. Figure 1 illustrates<br />
how the absolute value of the most unstable eigenvalue varies with θ, where|G| < 1<br />
corresponds to a stable scheme, for (a) the full 3D-PSE operator, and (b) the reduced<br />
∂ ˆp<br />
3D-PSE operator, where ∂z is neglected. The motivation behind implementing the<br />
3D-PSE comes from the recent application of a BiGlobal stability analysis to vortical<br />
flows 3 , which has demonstrated a relationship between instability and breakdown.<br />
Direct numerical simulation of an unstable vortex indicates that as an instability<br />
develops, a loss in axial velocity is initiated. Consequently, this suggests a requirement<br />
for a stability analysis technique that will allow axial gradients to develop. It is<br />
proposed that the 3D-PSE is a suitable method.<br />
∗ Department of Aeronautics, Imperial College London, London. SW7 2AZ. UK<br />
1 LiandMalik, Theoretical and Computational Fluid Dynamics. 8, 253-273 (1996).<br />
2 Andersson, Henningson and Hanifi, J. Eng. Math. 33, 311-332 (1998).<br />
3 Broadhurst, Theofilis and Sherwin, IUTAM Symposium on LTT. Kluwer (In Press).<br />
max|G|<br />
10<br />
∆z =0.4<br />
9<br />
8<br />
7<br />
6<br />
∆z =0.3<br />
5<br />
4<br />
∆z =0.2<br />
3<br />
2 ∆z =0.1<br />
1<br />
(a) Full Operator<br />
9<br />
8<br />
(b) Reduced Operator<br />
0<br />
0 0.1 0.2 0.3 0.4 0.5<br />
θ<br />
0.6 0.7 0.8 0.9 1<br />
max|G|<br />
10<br />
7<br />
6<br />
5<br />
4<br />
3<br />
2<br />
1<br />
0<br />
0 0.1 0.2 0.3 0.4 0.5<br />
θ<br />
0.6 0.7 0.8 0.9 1<br />
Figure 1: Influence of θ on the numerical stability of the θ-scheme