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Image Processing for Hydraulic Jump Free-Surface Detection
(IAHR, 2019)
Hydraulic jumps exhibit a high degree of free-surface oscillations, triggered by intense turbulence and aeration.
These processes are difficult to model numerically and are frequently investigated on a scale model. ...
Image processing for hydraulic jump free-surface detection: coupled gradient/machine learning model
(IOP, 2020)
High-frequency oscillations and high surface aeration, induced by the strong turbulence, make water depth measurement for hydraulic jumps a persistently challenging task. The investigation of the hydraulic jump behaviour ...
Adverse-slope stilling basins: machine learning approach to estimation of hydraulic jump features
(SDHI/SDH, 2018)
Stilling basins are the most commonly used energy dissipating structure for large dams, due to their high operating reliability under a wide range of inflow conditions. However, unsatisfactory tailwater conditions, primarily ...