2022
DOI: 10.1142/s0217979223500261
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OpenFOAM for computational hydrodynamics using finite volume method

Abstract: Partial differential equations may explain anything from planetary movement to tectonic plate, yet it is notoriously difficult to resolve them. Turbulence is present in nearly all fluid flows, and pure laminar flow is extremely unusual in practice. The Large Eddy Simulation (LES) computational model is employed for the simulation of turbulence flow on a spillway having four inlets with a single outlet. Such flows are observed at hydroelectric power dams all over the world. The fluctuated flows produced a large… Show more

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Cited by 15 publications
(2 citation statements)
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“…For our numerical simulations, the discretization process was performed by using a conditionally stable second-order implicit-backward for time schemes, Gauss linear for gradient schemes, Gauss linear limited for divergence and Laplacian schemes, and linear interpolation to transform the cell-center quantities to face centers. Although it is worth mentioning that investigating the discretization process performed by OpenFOAM is outside the limits of this study, readers with a special interest in step-by-step similar procedures are referred to [14,33,34]. To achieve the above purpose, we implemented the PISO (Pressure Implicit with Splitting of Operators) algorithm, which is a transient incompressible (in OpenFOAM [35]) iterative procedure that splits the operators into an implicit predictor and multiple explicit corrector steps, seeking to obtain close approximations of the exact solution of the difference equations at each time-step, with the accuracy in terms proportional to the powers of the time-step size.…”
Section: Governing Equations and Numerical Methodsmentioning
confidence: 99%
“…For our numerical simulations, the discretization process was performed by using a conditionally stable second-order implicit-backward for time schemes, Gauss linear for gradient schemes, Gauss linear limited for divergence and Laplacian schemes, and linear interpolation to transform the cell-center quantities to face centers. Although it is worth mentioning that investigating the discretization process performed by OpenFOAM is outside the limits of this study, readers with a special interest in step-by-step similar procedures are referred to [14,33,34]. To achieve the above purpose, we implemented the PISO (Pressure Implicit with Splitting of Operators) algorithm, which is a transient incompressible (in OpenFOAM [35]) iterative procedure that splits the operators into an implicit predictor and multiple explicit corrector steps, seeking to obtain close approximations of the exact solution of the difference equations at each time-step, with the accuracy in terms proportional to the powers of the time-step size.…”
Section: Governing Equations and Numerical Methodsmentioning
confidence: 99%
“…Atmaca et al [14] studied the jets emitted by three different slot nozzles and predicted the free jet velocity at different axial distances. Muhammad et al [15] used an LES model to study turbulent kinetic energy. Kinetic energy is calculated at the inlet and outlet of turbulent flow.…”
Section: Introductionmentioning
confidence: 99%