Hierarchy of Hybrid Unsteady-Flow Simulations Integrating Time-Resolved PIV/PTV with Unsteady CFD

Hybrid simulation techniques integrating time-resolved PIV with unsteady CFD can provide i) a set of flow quantities satisfying the governing equations temporally and spatially ii) possibly including unsteady pressure fields iii) with resolution comparable to CFD and iv) noise levels substantially lower than those of the original PIV data. We compare hybrid algorithms combining PTV (particle tracking velocimetry) and DNS with three different degrees of fidelity: the POD–Galerkin-projection approach, the proportional feedback of time-resolved PTV data, and the feedback based on the extended Kalman filter. By solving a planar-jet problem as an example, we analyze the temporaland spatial-filtering functions as well as the accuracy of velocity and pressure fields reconstructed from the PTV data. The results demonstrate that we can lower the measurement-noise levels and improve the accuracy/replicability by increasing the computational cost.

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