Numerical Simulation of Hydraulic Jumps. Part 2: Recent Results and Future Outlook

Viti, Nicolò; Valero, Daniel; Gualtieri, Carlo

doi:10.3390/w11010028

Cited by 56 publications

(58 citation statements)

References 72 publications

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“…The RNG k-ε turbulence model is found to be superior to other turbulence models and is used for the free-surface flow simulations [37,38]. A recent review of modeling techniques related to water-air flows in hydraulic jumps is made by Valero et al [39] and Viti et al [40].…”

Section: Sources Of Errors In Cfdmentioning

confidence: 99%

The Past and Present of Discharge Capacity Modeling for Spillways—A Swedish Perspective

Yang

Andreasson

Teng

et al. 2019

Fluids

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Most of the hydropower dams in Sweden were built before 1980. The present dam-safety guidelines have resulted in higher design floods than their spillway discharge capacity and the need for structural upgrades. This has led to renewed laboratory model tests. For some dams, even computational fluid dynamics (CFD) simulations are performed. This provides the possibility to compare the spillway discharge data between the model tests performed a few decades apart. The paper presents the hydropower development, the needs for the ongoing dam rehabilitations and the history of physical hydraulic modeling in Sweden. More than 20 spillways, both surface and bottom types, are analyzed to evaluate their discharge modeling accuracy. The past and present model tests are compared with each other and with the CFD results if available. Discrepancies do exist in the discharges between the model tests made a few decades apart. The differences fall within the range −8.3%-+11.2%. The reasons for the discrepancies are sought from several aspects. The primary source of the errors is seemingly the model construction quality and flow measurement method. The machine milling technique and 3D printing reduce the source of construction errors and improve the model quality. Results of the CFD simulations differ, at the maximum, by 3.8% from the physical tests. They are conducted without knowledge of the physical model results in advance. Following the best practice guidelines, CFD should generate results of decent accuracy for discharge prediction.

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Section: Sources Of Errors In Cfdmentioning

confidence: 99%

The Past and Present of Discharge Capacity Modeling for Spillways—A Swedish Perspective

Yang

Andreasson

Teng

et al. 2019

Fluids

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“…There are different approaches to solve hydraulic jumps. Viti et al (2018) made a review of CFD simulations for free hydraulic jumps. Numerical studies regarding submerged hydraulic jumps are scarce.…”

Section: Numerical Modelmentioning

confidence: 99%

Experimental and Numerical Analysis of Two-Phase Flows in Plunge Pools

et al. 2020

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The current capacity of many spillways may be insufficient due to the increase in flood flows as a result of climate change. In those cases, the dam may be overtopped, generating new loading scenarios downstream of the dam. To date, information regarding the behavior of air-water flows in the plunge pool of free-falling jets is scarce. This study combines experimental and numerical approaches to analyze the submerged hydraulic jump generated downstream of overflow nappe impinging jets. A back-flushing Pitot tube and an optical probe were used to measure the velocity field and air entrainment rate. The velocity field allows to validate computational fluid dynamics (CFD) simulations. The choice of the turbulence model played a key role in the wall jet resolution. To the best of our knowledge, for the first time, it was possible to estimate the Sauter mean air bubble diameter in the entire submerged hydraulic jump. The results are in agreement with recordings obtained with a high-speed camera. ; separate discussions must be submitted for individual papers. This paper is part of the Journal of Hydraulic Engineering, © ASCE, ISSN 0733-9429. © ASCE 04020044-1 J. Hydraul. Eng. J. Hydraul. Eng., 2020, 146(6): 04020044 Downloaded from ascelibrary.org by 44.224.250.200 on 07/07/20. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04020044-2 J. Hydraul. Eng. J. Hydraul. Eng., 2020, 146(6): 04020044 Downloaded from ascelibrary.org by 44.224.250.200 on 07/07/20. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04020044-5 J. Hydraul. Eng. J. Hydraul. Eng., 2020, 146(6): 04020044 Downloaded from ascelibrary.org by 44.224.250.200 on 07/07/20. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04020044-6 J. Hydraul. Eng. J. Hydraul. Eng., 2020, 146(6): 04020044 Downloaded from ascelibrary.org by 44.224.250.200 on 07/07/20. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04020044-8 J. Hydraul. Eng. J. Hydraul. Eng., 2020, 146(6): 04020044 Downloaded from ascelibrary.org by 44.224.250.200 on 07/07/20. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04020044-11 J. Hydraul. Eng. J. Hydraul. Eng., 2020, 146(6): 04020044 Downloaded from ascelibrary.org by 44.224.250.200 on 07/07/20.

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“…Comparison of numerical and experimental results showed a good agreement for sequent depth ratio and length of the hydraulic jump for both models. Recently, Viti et al [33] have presented a literature review on the recent results and future outlook of the numerical simulation of hydraulic jumps.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Hydraulic Jump over Rough Beds

Nikmehr

Aminpour²

2020

Period. Polytech. Civil Eng.

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In this study, the hydraulic jumps over rough beds are numerically simulated. In order to calibrate the numerical model, the experimental data were used, which performed in a rectangular flume in various roughness arrangements and different Froude numbers. The effect of the distance (s) and the height (t) of the roughness on different characteristics of the hydraulic jump, including the sequent depth ratio, water surface profile, jump’s length, roller’s length, and velocity distribution were evaluated and compared. The results showed that the numerical model is fairly well able to simulate the hydraulic jump characteristics. The results also showed that the height and distance of roughness slightly reduced the sequent depth ratios for all Froude numbers. Also, the hydraulic jump length is reduced at the presence of the rough bed. Velocity profiles in different experiments were similar and there was a good agreement between simulated and measured results. Also, increasing the distance and the height of the roughness will slow down the velocity near the bed, increase the shear stress, and increase the gradient of the velocity distribution near the bed.

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Numerical Simulation of Hydraulic Jumps. Part 2: Recent Results and Future Outlook

Cited by 56 publications

References 72 publications

The Past and Present of Discharge Capacity Modeling for Spillways—A Swedish Perspective

The Past and Present of Discharge Capacity Modeling for Spillways—A Swedish Perspective

Experimental and Numerical Analysis of Two-Phase Flows in Plunge Pools

Numerical Simulation of Hydraulic Jump over Rough Beds

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