Abstract
A key feature of breaking bores, jumps, and spilling breakers is the roller region, characterised by intense shear and recirculation, associated with air bubble entrainment and splashing. Detailed unsteady air–water flow measurements were conducted in a breaking bore propagating in a large-size channel, using an array of dual-tip phase-detection probes and an ultra-high-speed video camera. The results showed a steep roller front, with a very-dynamic air–water bubbly region, albeit with a relatively limited air–water roller region. In this study, a major challenge was the inconsistency in light intensity linked to the travelling nature of the bore. A simple flow visualisation technique was applied to retrieve the two-dimensional side-looking profile of the roller edge and average void fraction. The results were validated independently with a phase-detection probe. While the probe data lacked spatial variability, the study reinforces the needs of high-quality validation data set, including in unsteady transient flows.
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Acknowledgements
The authors would like to thank Dr Hubert Branger (IRPHE, University of Marseille, France) and Dr Jorge Leandro (Technical University of Munich, Germany) for their detailed review of the report and valuable comments. They acknowledge the helpful inputs of Professor Pierre Lubin (University of Bordeaux, France) and Dr Hang Wang (The University of Queensland, Australia), as well as discussions with Dr Gangfu Zhang (The University of Queensland, Australia) and Dr Matthias Kramer (The University of Queensland, Australia). The authors thank the reviewers for their helpful and constructive comment. The technical assistance of Jason Van Der Gevel and Stewart Matthews (The University of Queensland, Australia) is greatly appreciated.
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Appendices
Appendix 1: Video movies
Two high-speed video movies are provided as supplementary materials. Their details and characteristics are summarised below.
Finame | Description | Native movie format | Video movie details |
---|---|---|---|
bore_probe_test8.avi | Three-quarter view of advancing bore passing the phase-detection probe array about the channel centreline | 20,000 fps. Full HD (1280 × 800 pixels) | Frame rate: 200 fps replayed at 5 fps. Full HD movie (1280 × 800 pixels). Duration: 14 s |
bore-side.avi | Side view of advancing bore | 22,607 fps. Full HD (1280 × 800 pixels) | Frame rate: 226 fps replayed at 30 fps. Full HD movie (1280 × 800 pixels). Duration: 15 s |
Appendix 2: Relationship between pixel intensity and void fraction in a breaking bore roller
In a disperse bubbly flow, a relationship between pixel intensity and bubble density may be derived from Lambert’s law on light transmission intensity (Shamoun et al. 1999):
where pio is a reference pixel intensity, Nab is the cumulative number of detected bubbles, and t is the time. ∂Nab/∂t is implicitly an instantaneous bubble count rate. The above expression for the transmittance may be re-arranged in terms of the void fraction for disperse spherical bubbles:
with C the void fraction and K a constant. Equation (10) was successfully validated for low void fractions, i.e., typically well below 0.20, against gas hold up data in water column and void fraction data beneath breaking wave (Shamoun et al. 1999; Leppinen and Dalziel 2001; Kimmoun and Branger 2007). For completeness, optical flow methods applied to free-surface air–water flows showed recently that the bubble count rate was correlated negatively to luminance standard deviation (Zhang and Chanson 2018).
In the present study, the void fraction was estimated as a linear function of the pixel intensity, following Mossa and Tolve (1998) and Leandro et al. (2012). Both studies were conducted in free-surface flows, with complete vertical distributions of void fractions ranging from close to zero up to unity, above the free-surface of a hydraulic jump roller. For the present experiments, the relationship between pixel intensity and void fraction was checked, using the data presented in Fig. 5a. The results are presented in Fig. 9. Despite the data scatter, linked to the small number of phase-detection probe measurements (six locations) and limited number of repetitions (5), the results showed a monotonic increase in pixel intensity with increasing void fraction from zero to unity. In Fig. 9, the data were correlated to a linear fit with a normalised correlation coefficient of 0.75 and a standard error of 54.1.
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Leng, X., Chanson, H. Two-phase flow measurements of an unsteady breaking bore. Exp Fluids 60, 42 (2019). https://doi.org/10.1007/s00348-019-2689-2
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DOI: https://doi.org/10.1007/s00348-019-2689-2