Abstract
The speed-up of finite-volume solvers for compressible flows is a difficult
task. There are several ways to achieve solver speed-up, more or less difficult to imple-
ment and more or less suitable for implementation in a parallel, unstructured type of
solver. Examples of such techniques are the multi-grid method and Implicit Residual
Smoothening (IRSM). In this article, a solver acceleration technique based on Dynamic
Mode Decomposition (DMD) is proposed. The technique does not depend on data format
or mesh structure and is thus as straightforward to implement in an unstructured parallel
code as in a structured sequential one. The main idea behind the proposed method is
that it is possible to use the information available in flow field modes extracted using the
DMD technique to find a correction that will bring the solution closer to a steady-state
condition, i.e. the method is only applicable to steady-state problems. In the presented
work the proposed DMD-based acceleration technique has been implemented in a mas-
sively parallel block-structured finite-volume Navier-Stokes solver for compressible flows.
The method has been tested on a turbine cascade case with promising results. To the
knowledge of the authors, the proposed method is not previously published in the open
literature.
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