Variational RANS modeling of hydraulic jumps

Castro-Orgaz, Óscar; Gamero-Ojeda, Pedro; Cantero-Chinchilla, Francisco N.; Luna, Tomás Morales de; Hager, Willi H.; Bombardelli, Fabián A.

doi:10.1016/j.oceaneng.2023.115037

Cited by 2 publications

(4 citation statements)

References 49 publications

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“…In fact, some of the free surface data from the steady hydraulic jump experiments of this work were used for model validation by Castro-Orgaz et al . 22 using a high-order depth-averaged fluvial model, resulting in excellent agreement. These results by Castro-Orgaz et al .…”

Section: Technical Validationmentioning

confidence: 87%

“…Part of this dataset was utilized by Castro-Orgaz et al . 20 – 22 and Gamero et al . 23 for the validation of a Boussinesq-type SWE model and a variational VAM model, respectively.…”

Section: Background and Summarymentioning

confidence: 93%

“…These results by Castro-Orgaz et al . 22 were achieved by assuming a unique Manning’s roughness coefficient n = 0.01 for the roughness of both bed surfaces in the flume, namely the stainless steel Gaussian-shape obstacle and the flume floor with the autolevelling two-component polyurethane coating. This suggests the use of this value for validating numerical models using the datasets provided with this manuscript.…”

Section: Technical Validationmentioning

confidence: 99%

“…Figure 16 shows the bed pressure data along the Gaussian-shaped bed profile for the steady hydraulic jump experiments 1 and 2, provided for illustration purposes. Part of this pressure data was used for validation of a high-order depth-averaged fluvial flow model by the first and second authors of this study 22 , yielding excellent simulation results.

Fig.…”

Section: Technical Validationmentioning

confidence: 99%

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Experiments on hydraulic jumps over uneven bed for turbulent flow modelling validation in river flow and hydraulic structures

Cantero-Chinchilla,

Castro-Orgaz,

Ali

et al. 2024

Sci Data

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This study presents a comprehensive dataset comprising multiple data packages derived from laboratory experiments on steady and unsteady hydraulic jumps interacting with a large-scale Gaussian-shaped bed obstacle in an open-channel flume. The primary objective was to accurately measure the impact of hydraulic jump on the free surface and the bed pressure along the obstacle, ensuring the transferability of the results. A multi-process method was followed: designed experiments were recorded, images were postprocessed, and water level data were digitalized. For steady conditions, the bed pressure along the obstacle were measured by piezometers. The repository data are organized and provided in a single package, supplemented by a second package containing panoramas for each experimental time instant and graphical representations of the data, facilitating rapid evaluation of the outcomes. This study provides versatile data that can be utilized in various ways, particularly for fluvial model validation and studying turbulence-driven phenomena in open-channel flows. The detailed methodology presented herein can contribute to the advancement of enhanced laboratory techniques to study similar flow problems.

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Section: Technical Validationmentioning

confidence: 87%

“…Part of this dataset was utilized by Castro-Orgaz et al . 20 – 22 and Gamero et al . 23 for the validation of a Boussinesq-type SWE model and a variational VAM model, respectively.…”

Section: Background and Summarymentioning

confidence: 93%

Section: Technical Validationmentioning

confidence: 99%

Fig.…”

Section: Technical Validationmentioning

confidence: 99%

See 2 more Smart Citations

Experiments on hydraulic jumps over uneven bed for turbulent flow modelling validation in river flow and hydraulic structures

Cantero-Chinchilla,

Castro-Orgaz,

Ali

et al. 2024

Sci Data

Self Cite

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Shallow water hydrodynamics: Surge propagation and sill-controlled flows

Cantero-Chinchilla,

Castro-Orgaz,

Ali

et al. 2024

Physics of Fluids

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Accurate flow models are crucial for simulating shallow water hydrodynamics, particularly in predicting and mitigating the impacts of extreme events involving free-surface flows. Many of these extreme scenarios in river environments involve fluid dynamics with significant dynamic pressures, invalidating the use of standard Saint-Venant-type models. This study presents a robust and accurate novel alternative based on the Reynolds-averaged Navier–Stokes (RANS) equations solved through variational methods. Despite their potential, variational methods have been underutilized in the literature, and their application has been limited to low-level expansions. Moreover, they are rarely validated against experiments that simulate complex flows. This study addresses both challenges. First, a general mathematical framework is developed for the variational RANS (VR) model of arbitrary high-level. The VR level III model is presented and is solved numerically using a robust finite volume-finite difference solver for turbulence flow modeling. Second, an extensive experimental program was conducted to validate this new flow modeling tool, focusing on two challenging flow scenarios. The first scenario involves the propagation of turbulent breaking waves over an irregular, uneven bathymetry—conditions similar to those observed during bedform development in riverine environments. This scenario involved the experimental characterization of unsteady surges over an array of obstacles in series. The second scenario investigated sill-controlled released discharges, similar to those occurring in estuary inlets with sediment bars. Comparisons between the new experimental data and the predictions from the VR level III model reveal the model's accuracy and robustness, making it a highly suitable tool for simulating free-surface flows.

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Variational RANS modeling of hydraulic jumps

Cited by 2 publications

References 49 publications

Experiments on hydraulic jumps over uneven bed for turbulent flow modelling validation in river flow and hydraulic structures

Experiments on hydraulic jumps over uneven bed for turbulent flow modelling validation in river flow and hydraulic structures

Shallow water hydrodynamics: Surge propagation and sill-controlled flows

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