Influence of VOF technique, turbulence model and discretization scheme on the numerical simulation of the non-aerated, skimming flow in stepped spillways

Bayón, Arnau; Toro, Juan Pablo; Bombardelli, Fabián A.; Matos, Jorge; Jiménez, Petra Amparo López

doi:10.1016/j.jher.2017.10.002

Cited by 54 publications

(39 citation statements)

References 38 publications

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“…A general description is found in [44]. A few recent studies on the topic include Teng and Yang [28], Damion [45], Valero and García-Bartual [46], Bayon et al [47], Wang et al [48], Valero et al [49] and Yang et al [50].…”

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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“…Despite the apparent severity of the numerical model simplifications, the suitability of this approach has been proven in the past by a number of authors who employed similar techniques to evaluate the performance of coastal structures under wave attacks (see Higuera et al [23], Tsai et al [42], and Castellino et al [14]) and other hydraulic applications involving complex air-water interactions (see Bayon and Lopez-Jimenez [43], and Bayon et al [44,45]). Table 3 shows the characteristics of the crown wall and parapets referred to in the parameters depicted in Figure 1b.…”

Section: Numerical Modelmentioning

confidence: 99%

Influence of Parapets on Wave Overtopping on Mound Breakwaters with Crown Walls

et al. 2019

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Background literature on the influence of parapets on the overtopping of mound breakwaters is limited. In this study, numerical tests were conducted using computational fluid dynamics (CFD) to analyze the influence of nine crown wall geometries (seven with parapets). The CFD model was implemented in OpenFOAM ® and successfully validated with laboratory tests. A new estimator of the dimensionless mean wave-overtopping discharges (logQ) on structures with parapets is proposed. The new estimator depends on the estimation of logQ of the same structure without a parapet. The effects on wave overtopping of the parapet angle (ε p ), parapet width (w p ), and parapet height (h p ) were analyzed. Low values of ε p and w p /h p ≈ 1 produced the highest parapet effectiveness to reduce the mean wave-overtopping discharges.

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“…The turbulence was modeled in the RANS technique with the turbulence model k-ε (Jones & Launder, 1972;Launder & Spalding, 1974), which has a long history of applications in studies with CFD related to stepped spillways (Aydin & Ozturk, 2009;Bayon et al, 2018;Bombardelli et al, 2011;Chen et al, 2002;Li et al, 2018a;Lobosco & Schulz, 2010;Meireles et al, 2014;Tabari & Tavakoli, 2016;Tabbara et al, 2005;Toro et al, 2016). This model is based on the concept of viscosity within the boundary layer, so that the effective viscosity ( eff µ ) is the sum of the molecular viscosity (µ) and the turbulent viscosity ( t µ ) of the fluid.…”

Section: /17mentioning

confidence: 99%

“…The GCI method was developed based on the Richardson extrapolation aiming to provide an objective asymptotic approximation to quantify the uncertainty of the grid convergence. This method has a history of application in studies with CFD simulations in spillway structures (Aydin & Ozturk, 2009;Bayon et al, 2018;Li et al, 2018b;Lopes et al, 2018;Teng & Yang, 2016;Yang et al, 2019).…”

Section: Grid Testing and Model Validationmentioning

confidence: 99%

Combination of experimental and numerical approaches to determine the main characteristics of skimming flow in stepped spillways

Tassinari

Sanagiotto

Marques

et al. 2020

RBRH

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The traditional approach for the hydrodynamic characterization of the flow down stepped spillways is through physical modeling, which is susceptible to scale effects and has limitations related to experimental apparatus, laboratory space and the spatial discretization of data collection. Computational fluid dynamics (CFD) is an important tool for hydrodynamic analysis because, if used properly, it presents great potential for application in hydraulics. In this work, CFD was used to model the skimming flow down a stepped spillway to investigate the effects of possible pressure measurement errors due to uncertainties in the position of the sensors within the steps. The numerical model was validated through literature velocity profiles and pressure experimental data. The results showed that the best values of water fraction (α) to define free surface are α = 0.30 in the nonaerated region and α = 0.10 in the aerated region. Statistical parameters were calculated using experimental data to estimate extreme pressures. These parameters and the simulation results were used to determine that the extreme maximum and minimum pressures occur, respectively, in the region of 0.81 < x/l < 0.98, in the horizontal faces, and in the region of 0.93 < y/h < 0.98, in the vertical faces.

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Influence of VOF technique, turbulence model and discretization scheme on the numerical simulation of the non-aerated, skimming flow in stepped spillways

Cited by 54 publications

References 38 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

Influence of Parapets on Wave Overtopping on Mound Breakwaters with Crown Walls

Combination of experimental and numerical approaches to determine the main characteristics of skimming flow in stepped spillways

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