Viscous-Inviscid Interaction
For a given first solution of the inviscid flow we provide
as boundary conditions for the boundary layer equations (this means that the boundary layer is solved directly). The
boundary layer solution provides a new source
, and hence a surface
transpiration velocity that is used to update the boundary conditions of the inviscid
flow. From here the process is repeated according to the scheme of
Fig. 1 below, that obeys to the operator of
Eq. 7 implicitly assumes .
This is in fact a critical assumption.
To illustrate the convergence and the effect of under-relaxation on this
process we consider a local linearization of the operators
and
given in strongly coupled methods (Eqs. 3-4)
where
is the inverse operator of
:
.
This
linearization is shown in Fig 1. Analytic
expressions of the coefficients of Eq. 9 have been effectively found for integral boundary layer
equations (Lock-Williams, 1987).
It has been proven that the gradient
changes
sign at separation point, being negative/positive for attached/separated
boundary layers, respectively.
For differential equations the coefficients
have never been found, and it is likely that only numerical experimentation can lead
to a rational convergence analysis. However, we assume that this is
property inherent to the boundary layer development, rather than to the type
of the equations that describe it.
A local Fourier analysis of the small perturbation equation
(Le Balleur, 1978)
has shown that
is uniformly increasing with the source
.
From geometric arguments we find:
Under-relaxation is used for accelerating the convergence of the process
when the flow is still attached, and to obtain convergence in situations
where the flow, although attached, would not converge, due to the large
adverse pressure gradients (as indicated by the slope
). If
,
the under-relaxation formula is
Convergence is obtained if
.
The optimum value of the relaxation parameter is
For linear problems convergence can be obtained in one step. Strictly speaking
is a local property of the viscous-inviscid coupling. This can be evidenced
by a vector analog of the above equations.
Figure 1: Effect of under-relaxation on convergence.
[Top of Page]
|