Experimentally Verified Numerical Investigation of the Sill Hydraulics for Abruptly Expanding Stilling Basin

Aydogdu, Mahmut; Gül, Enes; Dursun, O. Faruk

doi:10.1007/s13369-022-07089-6

Cited by 10 publications

(4 citation statements)

References 43 publications

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“…Many numerical investigations are found on HJs and energy dissipation using various numerical codes; however, Table 1 highlights a few of the most relevant studies dealing with HJs and energy dissipators. 1, some studies, e.g., [39,40,43,44,47,50,51,56], have focused HJs and their associated parameters such as velocity, free surface profile, sequent depths, roller lengths, and turbulent kinetics energy, whereas other researchers have investigated energy dissipation [41,45,46,48,[53][54][55] and scour [42,49] downstream of different hydraulic structures. However, except for the 1D Hydrologic Engineering Center River Analysis System (HEC-RAS) study on Taunsa barrage, the literature did not reveal any study that studied the effects of tailwater on the HJ and flow pattern in the barrage's basin.…”

Section: Computational Fluid Dynamic and Hydraulic Modellingmentioning

confidence: 99%

Numerical Investigation of Critical Hydraulic Parameters Using FLOW-3D: A Case Study of Taunsa Barrage, Pakistan

Zaffar,

Haasan,

Ghumman

2023

Fluids

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Hydraulic structures, such as barrages, play an important role in the sustainable development of several regions worldwide. The aim of this novel study is to identify the critical hydraulic parameters (CHPs) of Taunsa Barrage, built on the Indus River. These CHPs, including free surface profiles, flow depths, Froude number, velocity profiles, energy dissipation and turbulence kinetic energy, were investigated using simulation via FLOW-3D numerical models. Incompressible Reynolds-averaged Navier–Stokes (RANS) equations on each computational cell were solved using the numerical methods available in FLOW-3D. The simulation results indicated that the locations of hydraulic jumps (HJs) were lower than that were reported in the previous one-dimensional study. Similarly, the distances of the HJs from the downstream toe of the glacis were reached at 2.97 m and 6 m at 129.10 m and 130.30 m tailwater levels, respectively, which deviated from the previous studies. In higher tailwater, the sequent depth ratio also deviated from the previous data. The maximum turbulent kinetic energies were observed in the developing regions of HJs, which were found to be decreased as the distance from the HJ was increased. The results of this research will be highly useful for engineers working in the field of design of hydraulic structures.

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Section: Computational Fluid Dynamic and Hydraulic Modellingmentioning

confidence: 99%

Numerical Investigation of Critical Hydraulic Parameters Using FLOW-3D: A Case Study of Taunsa Barrage, Pakistan

Zaffar,

Haasan,

Ghumman

2023

Fluids

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“…Table 1 highlights a few of the relevant studies which have employed two equation RANS models. Carvalho et al [33] FLOW-3D RNG K-ε Velocity, roller lengths, free surface profile, TKEs Bayon et al [45] Open Foam, FLOW-3D RNG K-ε Velocity, HJ efficiency, roller length, sequent depths Aydogdu et al [46] ANSYS-FLUENT RNG K-ε Free surface profile velocity, turbulence kinetic energy (TKEs) Abd El Azim et al [47] FLOW-3D RNG K-ε Energy dissipation, relative energy loss Hence, based on the results of the above-mentioned studies, this study also employed RNG K-ε model (hereafter, called K-ε) for the turbulence and flow fields on rigid and erodible beds. For computing the turbulent kinetic energy (K) and its dissipation (ε), RNG K-ε model employs Equations ( 3) and (4), respectively.…”

Section: Turbulence Modeling and Free Surface Trackingmentioning

confidence: 99%

Performance Evaluation of Different Stilling Basins Downstream of Barrage Using FLOW-3D Scour Models

Zaffar,

Haasan,

Ghumman

2023

Hydrology

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The present study investigated the performance of three different stilling basins, i.e., modified United State Bureau of Reclamation (USBR) Type III, USBR Type II, and wedge-shaped baffle blocks (WSBB), using FLOW-3D scour models. Field data of the riverbed profile are employed to validate the present models. After comparison, the results of statistical indices, i.e., coefficient of determination (R2) and Nash–Sutcliffe model efficiency coefficient (NSE), indicated that the Renormalization Group (RNG-K-ϵ) showed good agreement with the field data, with R2 and NSE values of 0.9094 and 0.896, respectively. Validated models are used to simulate velocity field and local bed shear stress (BSS) and scour for design and flood discharges of 28.30 m3/s/m and 17.5 m3/s/m, respectively. At 28.30 m3/s/m, the results indicated that the riverbed downstream of the remodeled basin was completely exposed, while, at 17.5 m3/s/m, the net change in bed reached 85%. At 28.30 m3/s/m, the net change at the centerline of models reached 51% and 67% in USBR Type III and WSBB basins, respectively. At 17.5 m3/s/m, compared to Type II and III basins, the WSBB basin indicated less BSS, which significantly reduced the scour. Conclusively, the Type II basin showed less energy dissipation for the studied flows, while the WSBB basin improved flow fields downstream of the barrage.

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“…The results also showed that DSJ was found to be more crucial in energy dissipation as it created reverse flow, which impinged on the free surface. Aydogdu et al implemented Fluent 14.5 software to study the effect of different shapes of central sills in the expanding stilling basin [6]. Out of the studied sills, Type-3 sills produced more promising results in free surface profiles, velocity distribution, and roller length of HJ and TKEs.…”

Section: Introductionmentioning

confidence: 99%

Numerical Investigation of Scour Downstream of Diversion Barrage for Different Stilling Basins at Flood Discharge

et al. 2023

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The hydraulic performance of stilling basins is affected by their size and geometry, which can be predicted by local scour. In 2008, based on a rigid bed study, the stilling basin of Taunsa barrage was remodeled, in which the old friction and baffle blocks were replaced with chute blocks and end sills. However, the study did not consider the effects of the remodeled basin on the erodible bed and only investigated hydraulic jumps. Therefore, this study developed FLOW-3D scour models for a designed flow of 24.28 m3/s/m to investigate the flow field and local scouring downstream of old and remodeled basins. The results showed that as compared to Large Eddy Simulation (LES) and Standard K-ε models, the Renormalization Group (RNG-K-ε) model predicted the scour profiles with better accuracy, for which the coefficient of determination (R2) reached 0.736, 0.823, and 0.747 for bays 33, 34, and 55, respectively. Downstream of the remodeled basin, the net change in sediment bed was 88%, 91%, and 95% in the LES, Standard, and RNG-K-ε models, respectively. However, downstream of the old basin, the net change in sediment bed reached 51%. Conclusively, based on the results, the study suggests investigating scour downstream of Taunsa Barrage using other discharges and sediment transport rate equations.

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Experimentally Verified Numerical Investigation of the Sill Hydraulics for Abruptly Expanding Stilling Basin

Cited by 10 publications

References 43 publications

Numerical Investigation of Critical Hydraulic Parameters Using FLOW-3D: A Case Study of Taunsa Barrage, Pakistan

Numerical Investigation of Critical Hydraulic Parameters Using FLOW-3D: A Case Study of Taunsa Barrage, Pakistan

Performance Evaluation of Different Stilling Basins Downstream of Barrage Using FLOW-3D Scour Models

Numerical Investigation of Scour Downstream of Diversion Barrage for Different Stilling Basins at Flood Discharge

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