OPTIMIZATION-BASED MODAL DECOMPOSITION FOR SYSTEMS WITH MULTIPLE TRANSPORTS

Mode-based model-reduction is used to reduce the degrees of freedom of high-dimensional systems, often by describing the system state by a linear combination of spatial modes. Transport dominated phenomena, ubiquitous in technical and scientific applications, often require a large number of linear modes to obtain a small representation error. This difficulty, even for the most simple transports, originates from the inappropriateness of the decomposition structure in time dependent amplitudes of purely spatial modes. In this article an approach is discussed that decomposes a flow field into several fields of co-moving frames, where each one can be approximated by a few modes. The central aspect of this report is a transparent formulation of this decomposition as an optimization problem. Different singular-value-based objective functions are discussed and connected to former formulations. A boundary treatment is provided. The decomposition is applied to generic cases and to a technically relevant flow configuration of combustion physics.