Keywords :
Correlation methods; Flow of water; Probes; Signal detection; Spillways; Stochastic systems; Time series analysis; Turbulence; Uncertainty analysis; Velocity; Adaptive windows; Cross correlation techniques; Cross-correlation analysis; Phase detection; Robust filtering; Stepped spillways; Velocity estimation; Velocity field; Two phase flow
Abstract :
[en] Air–water flow turbulence was derived from pseudo-instantaneous velocities measured with a dual-tip phase-detection probe. This new technique is proposed based upon adaptive time windows for cross-correlation analysis combined with robust filtering criteria, allowing computation of velocity time series in highly aerated flows. Each velocity estimation corresponded to a small group of bubbles or droplets. Stochastic synthetic velocity fields were generated to assess the limitations and uncertainties related to the proposed analysis. Subsequently, capabilities of the technique were demonstrated through an application to a real two-phase flow on a large-size stepped spillway. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
Kramer, M.; School of Civil Engineering, The University of Queensland, Brisbane, QLD 4072, Australia
Chanson, H.; School of Civil Engineering, The University of Queensland, Brisbane, QLD 4072, Australia
Bung, D. B.; Hydraulic Engineering Section (HES), FH Aachen University of Applied Sciences, Aachen, 52066, Germany
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