Despite the large increase in computer power and the advances in
solver technology, unsteady flow problems still may require a vast
amount of computing time. In this work two approaches are
investigated that should lead to a reduction in computing times for
unsteady subsonic flows. In the first part of this work a new
refinement strategy for grid adaptation is proposed that enables
the user to a priori define the maximum usable computer resources.
In the second part of this work a Jacobian-free Newton-Krylov
algorithm is tailored for unsteady subsonic flow problems. With
this algorithm computing times are reduced with one order of
magnitude compared to the traditional used solver.
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