Abstract
We perform a sensor-based velocity field estimation in the wake of a wall-mounted pyramid from experimental data. The velocity field is measured with time-resolved stereoscopic PIV, and the sensors monitor local surface pressure. Starting point is the extended proper orthogonal decomposition technique. Key enablers for the spatio-temporal resolution of the strongly modulated shedding are (1) the exploitation of cross-correlation between velocity field and pressure, (2) time-delayed sensor signals, (3) symmetry considerations and (4) guaranteed orthonormality of the velocity expansion modes. The combined filtering operations are shown to yield a near-optimal flow estimation from pressure signals. The residual of the estimated coherent kinetic energy is about 30–50 % smaller, and the mean-field paraboloid is better rendered than with the previously proposed estimation methods.
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The authors acknowledge funding from the Natural Sciences and Engineering Research Council of Canada (NSERC) and the ANR Chair of Excellence TUCOROM. We thank the reviewers for important insightful comments.
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Hosseini, Z., Martinuzzi, R.J. & Noack, B.R. Sensor-based estimation of the velocity in the wake of a low-aspect-ratio pyramid. Exp Fluids 56, 13 (2015). https://doi.org/10.1007/s00348-014-1880-8
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DOI: https://doi.org/10.1007/s00348-014-1880-8