Image Processing for Hydraulic Jump Free-Surface Detection
Апстракт
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. However,
measuring the oscillatory characteristics of the hydraulic jump is not without issues, as the majority of available
methods are not intended for tracking instantaneous depth profile or free-surface interface (FSI). Some methods
are limited to a selected set of few predetermined points, and are sensitive to variations of secondary
characteristics of the hydraulic jump: point gauges are sensitive to aeration rate and rate of the free-surface
changes, electroconductive and optical probes require direct contact with the air-water mixture (disrupting the
free surface), while the ultrasonic distance measurement accuracy is severely impacted by the shape of the
free surface and aeration rate. To alleviate these issues, we propose the application of the non-intrusiv...e method
based on image processing techniques to detect the instantaneous FSI. The first step is to record the freesurface region in a series of images, with a predefined constant time shift. Subsequently, the FSI along the
hydraulic jump is detected in every image. Presented method was used to reconstruct temporal evolution of the
depth profile from the FSI position in the recorded images. The obtained dominant FSI oscillation frequencies
along the hydraulic jump show good agreement with previous research. Results also show that the proposed
approach is more robust than previously available methods – minor sensitivity to camera shooting angle, rate
of the free-surface change, surface aeration variability, etc. Method is also very simple, with only a few tunable
parameters, and affordable, as the only required equipment is a camera. The preprocessing and calibration
steps needed to obtain reliable data for further processing are also described. Using method presented in this
paper, one can gain a better understanding of the characteristics of the hydraulic jump: instantaneous and timeaveraged FSI profile, as well as the frequency spectrum of FSI variations along the hydraulic jump. This can be
useful for the design of hydraulic structures, in particular – the hydraulic jump stilling basins.
Кључне речи:
image processing / hydraulic jump / depth measurement / hydraulic modeИзвор:
E-proceedings of the 38th IAHR World Congress, 2019Издавач:
- IAHR
Финансирање / пројекти:
- Мерење и моделирање физичких, хемијских, биолошких и морфодинамичких параметара река и водних акумулација (RS-MESTD-Technological Development (TD or TR)-37009)
- Системи за одвођење кишних вода као део урбане и саобраћајне инфраструктуре (RS-MESTD-Technological Development (TD or TR)-37010)
Колекције
Институција/група
GraFarTY - CONF AU - Ljubičić, Robert AU - Vićanović, Ivana AU - Zindović, Budo AU - Kapor, Radomir AU - Savić, Ljubodrag PY - 2019 UR - https://grafar.grf.bg.ac.rs/handle/123456789/1868 AB - 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. However, measuring the oscillatory characteristics of the hydraulic jump is not without issues, as the majority of available methods are not intended for tracking instantaneous depth profile or free-surface interface (FSI). Some methods are limited to a selected set of few predetermined points, and are sensitive to variations of secondary characteristics of the hydraulic jump: point gauges are sensitive to aeration rate and rate of the free-surface changes, electroconductive and optical probes require direct contact with the air-water mixture (disrupting the free surface), while the ultrasonic distance measurement accuracy is severely impacted by the shape of the free surface and aeration rate. To alleviate these issues, we propose the application of the non-intrusive method based on image processing techniques to detect the instantaneous FSI. The first step is to record the freesurface region in a series of images, with a predefined constant time shift. Subsequently, the FSI along the hydraulic jump is detected in every image. Presented method was used to reconstruct temporal evolution of the depth profile from the FSI position in the recorded images. The obtained dominant FSI oscillation frequencies along the hydraulic jump show good agreement with previous research. Results also show that the proposed approach is more robust than previously available methods – minor sensitivity to camera shooting angle, rate of the free-surface change, surface aeration variability, etc. Method is also very simple, with only a few tunable parameters, and affordable, as the only required equipment is a camera. The preprocessing and calibration steps needed to obtain reliable data for further processing are also described. Using method presented in this paper, one can gain a better understanding of the characteristics of the hydraulic jump: instantaneous and timeaveraged FSI profile, as well as the frequency spectrum of FSI variations along the hydraulic jump. This can be useful for the design of hydraulic structures, in particular – the hydraulic jump stilling basins. PB - IAHR C3 - E-proceedings of the 38th IAHR World Congress T1 - Image Processing for Hydraulic Jump Free-Surface Detection UR - https://hdl.handle.net/21.15107/rcub_grafar_1868 ER -
@conference{ author = "Ljubičić, Robert and Vićanović, Ivana and Zindović, Budo and Kapor, Radomir and Savić, Ljubodrag", year = "2019", abstract = "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. However, measuring the oscillatory characteristics of the hydraulic jump is not without issues, as the majority of available methods are not intended for tracking instantaneous depth profile or free-surface interface (FSI). Some methods are limited to a selected set of few predetermined points, and are sensitive to variations of secondary characteristics of the hydraulic jump: point gauges are sensitive to aeration rate and rate of the free-surface changes, electroconductive and optical probes require direct contact with the air-water mixture (disrupting the free surface), while the ultrasonic distance measurement accuracy is severely impacted by the shape of the free surface and aeration rate. To alleviate these issues, we propose the application of the non-intrusive method based on image processing techniques to detect the instantaneous FSI. The first step is to record the freesurface region in a series of images, with a predefined constant time shift. Subsequently, the FSI along the hydraulic jump is detected in every image. Presented method was used to reconstruct temporal evolution of the depth profile from the FSI position in the recorded images. The obtained dominant FSI oscillation frequencies along the hydraulic jump show good agreement with previous research. Results also show that the proposed approach is more robust than previously available methods – minor sensitivity to camera shooting angle, rate of the free-surface change, surface aeration variability, etc. Method is also very simple, with only a few tunable parameters, and affordable, as the only required equipment is a camera. The preprocessing and calibration steps needed to obtain reliable data for further processing are also described. Using method presented in this paper, one can gain a better understanding of the characteristics of the hydraulic jump: instantaneous and timeaveraged FSI profile, as well as the frequency spectrum of FSI variations along the hydraulic jump. This can be useful for the design of hydraulic structures, in particular – the hydraulic jump stilling basins.", publisher = "IAHR", journal = "E-proceedings of the 38th IAHR World Congress", title = "Image Processing for Hydraulic Jump Free-Surface Detection", url = "https://hdl.handle.net/21.15107/rcub_grafar_1868" }
Ljubičić, R., Vićanović, I., Zindović, B., Kapor, R.,& Savić, L.. (2019). Image Processing for Hydraulic Jump Free-Surface Detection. in E-proceedings of the 38th IAHR World Congress IAHR.. https://hdl.handle.net/21.15107/rcub_grafar_1868
Ljubičić R, Vićanović I, Zindović B, Kapor R, Savić L. Image Processing for Hydraulic Jump Free-Surface Detection. in E-proceedings of the 38th IAHR World Congress. 2019;. https://hdl.handle.net/21.15107/rcub_grafar_1868 .
Ljubičić, Robert, Vićanović, Ivana, Zindović, Budo, Kapor, Radomir, Savić, Ljubodrag, "Image Processing for Hydraulic Jump Free-Surface Detection" in E-proceedings of the 38th IAHR World Congress (2019), https://hdl.handle.net/21.15107/rcub_grafar_1868 .