Proper Orthogonal Decomposition on LES and PIV Data Sets from a Mach 0.9 Jet.

Författare: Malla, , Mihaescu, M, Kastner, J.F., Gutmark, E.
Dokumenttyp: Konferens
Tillstånd: Publicerad
Tidskrift: 50th AIAA Aerospace Sciences Meeting, 9-12 January 2012, Nashville, TN, USA
Volym: AIAA-2012-1228  
År: 2012


This paper contains the complementary analysis of the results obtained through computational and experimental methods using the technique of Proper Orthogonal Decomposition (POD). A detailed study of the experimentally obtained flow field data using the method of POD has already been accomplished. The experimental data consists of the 2D visualization of the velocity field obtained using Particle Image Velocimetry (PIV). The computational process is initialized with the simulation of the 3D flow field using a steady state RANS flow solver. RANS is used as a platform to proceed towards capturing the unsteadiness of the flow field which is accomplished using the Large Eddy Simulation (LES). A significant match in the characteristics of the mode shapes has been observed, in both the axial and radial components of the velocity field, however, there is difference in the distribution of the energies over the modes. The LES predicts the energies to be higher at the lowest modes and the energy drop off rate is higher. On the contrary, PIV predicts lower energies at the first few modes, in comparison to the LES results, however the energy drop off rate is smaller.