Low-dimensional models of experimental and simulation data for a complex supersonic jet were fused to reconstruct time-dependent proper orthogonal decomposition (POD) coefficients. The jet consists of a multistream rectangular single expansion ramp nozzle, containing a core stream operating at Mach number Mj,1=1.6 and bypass stream at Mj,3=1.0 with an underlying deck. Proper orthogonal decomposition was applied to schlieren and particle image velocimetry data to acquire the spatial basis functions. These eigenfunctions were projected onto their corresponding time-dependent large-eddy simulation (LES) fields to reconstruct the temporal POD coefficients. This reconstruction was able to resolve spectral peaks that were previously aliased due to the slower sampling rates of the experiments. Additionally, dynamic mode decomposition was applied to the experimental and LES data sets and the spatiotemporal characteristics were compared to POD.
ASJC Scopus subject areas
- Fluid Flow and Transfer Processes
- Computational Mechanics
- Modeling and Simulation