Numerical simulation of pollution transport and hydrodynamic characteristics through the river confluence using FLOW 3D

Chabokpour, Jafar; Azamathulla, Hazi Mohammad

doi:10.2166/ws.2022.237

Cited by 4 publications

(2 citation statements)

References 51 publications

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“…This irregularity poses challenges for mesh partitioning. Therefore, priority is given to using unstructured meshfor partitioning and tuning [11,12], as shown in Figure 2.…”

Section: Meshmentioning

confidence: 99%

Selection and verification of the mathematical model and mesh of The GPSD under moving water condition

2024

acss

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In order to ensure the accuracy of numerical simulation results for the Gill-piece separation device (GPSD), an exploration of the optimal mathematical model and mesh parameters was conducted. The Mixture model in CFX was coupled with RNG k-ɛ, SST, BSL, and SSG turbulence models to simulate the water-sand two-phase flow field in the GPSD under dynamic water conditions. By comparing the numerical simulation results with physical experimental phenomena, it is found that the velocity vector diagram calculated by the Mixture-RNG k-ɛ coupling model conforms more closely to the physical experimental phenomena (Double-layered Counterflow), and the relative error of the water-sand separation efficiency calculated by the Mixture-RNG k-ɛ coupling model is very small, only 1.77%. Thus, it can be regarded as the optimal mathematical model for numerical simulation of the GPSD under dynamic water conditions. Considering factors such as computational time, the number of meshin numerical simulation should be set to around 300,000 for the best performance.

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“…This irregularity poses challenges for mesh partitioning. Therefore, priority is given to using unstructured meshfor partitioning and tuning [11,12], as shown in Figure 2.…”

Section: Meshmentioning

confidence: 99%

Selection and verification of the mathematical model and mesh of The GPSD under moving water condition

2024

acss

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“…The mixing interface is tilted by the helical flow downstream of the confluence, and the mixing interface is realigned toward the flow with the weaker momentum flux that induces transverse mixing change [1]. The tilted mixing interface leads to producing a steep concentration gradient and promotes transverse mixing [10]. The development of a strong helical motion increases the secondary flow intensity accompanying the transverse dispersion coefficient increase [9].…”

Section: Introductionmentioning

confidence: 99%

Influences of Momentum Ratio on Transverse Dispersion for Intermediate-Field Mixing Downstream of Channel Confluence

Shin

Lee

Park

2023

IJERPH

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This study aims to analyze the influences of momentum ratio (Mr) and confluence angle (α) on the transverse dispersion in an urban scale confluence channel from the numerical simulation results using the Environmental Fluid Dynamics Code model. By changing the momentum flux and confluence angle from the simulation results, the analysis focused on the relations between the vertical variations of transverse velocity and transverse dispersion. The high momentum tributary aligned the mixing interface toward the outer bank and created a strong helical motion, which transported the contaminated water along the channel bed and inflows into the recirculation zone. The high momentum ratio induced the large vertical shear in transverse velocity with a strong helical motion and increased the transverse dispersion. However, the helical motion persistence rapidly decreased as the flow reached downstream and led to a decrease in the transverse dispersion for the large confluence angle. Thus, the transverse dispersion coefficient increased with a high momentum ratio and low confluence angle, and the dimensionless transverse dispersion coefficient was in the range of 0.39–0.67, which is observed in meandering channels, for Mr > 1 and α = 45°.

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Numerical modeling of scour and erosion processes around spur dike

Gupta

Pandey

Raj

2023

CLEAN Soil Air Water

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Spur dikes are popular river training structures used for flow diversion, flood control, bank protection, and improving navigation. This paper aims to study the numerical modeling of scour depth in the vicinity of a rectangular spur dike using the renormalization group (RNG) turbulence model and sedimentary van Rijn model with nested mesh configuration using FLOW‐3D. This study is also carried out to analyze the three turbulence models such as RNG, 𝑘−𝜀, and Large‐Eddy simulation (LES), for estimating the scour depth and evaluating the temporal variation of maximum scour depth. It is observed that scour depth is overpredicted with the LES model configuration used in the present study, as compared to 𝑘−𝜀 and RNG models. Furthermore, the scour depth increases by increasing the bed load coefficient near to the spur dike. Simulated results show a good agreement within a 5% error with experimental results regarding the net change of sediment elevation and scour depth.

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Numerical simulation of pollution transport and hydrodynamic characteristics through the river confluence using FLOW 3D

Cited by 4 publications

References 51 publications

Selection and verification of the mathematical model and mesh of The GPSD under moving water condition

Selection and verification of the mathematical model and mesh of The GPSD under moving water condition

Influences of Momentum Ratio on Transverse Dispersion for Intermediate-Field Mixing Downstream of Channel Confluence

Numerical modeling of scour and erosion processes around spur dike

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