LES-Simulation-Classical-Hydraulic-Jump-Velocity-Contour-FetchCFD-Image.JPG.png size: 0.523719 MB
OpenFOAM-Simulation-Setup-files-case_dx4.zip size: 80.412434 MB
Classical-Hydraulic-Jump-Large-Eddy-Simulation-Using-Openfoam-Interface-Isosurface-Fetchcfd-Animation-1920-1080-8-Fps-1.gif size: 2.372722 MB
Classical-Hydraulic-Jump-Large-Eddy-Simulation-Using-Openfoam-Interface-Isosurface-Fetchcfd-Animation-1920-1080-12-Fps-Zoomed-1.gif size: 5.057025 MB
LES Simulation Classical Hydraulic Jump
NoAI: This model, simulation, images, or project may not be utilized within datasets, during the developmental process, or as inputs for generative AI programs.
Attached contour images from large-eddy simulations conducted on a classical hydraulic jump with an inlet Froude number of two. I The simulations were performed using OpenFOAM®, a finite-volume-based code, with the aim of assessing the impact of different modeling parameters on predictive accuracy and establishing best-practice guidelines. To validate the solver and establish a reference solution for the parameter study, a benchmark simulation was carried out on a grid with a 1 mm-cell-edge length. The remaining simulations involved variations in modeling parameters, including geometric versus algebraic interface capturing, three levels of mesh resolution, and four different choices of the convective flux interpolation scheme. The results showed that geometric interface capturing improved accuracy but reduced numerical stability and increased simulation times. Surprisingly, numerical dissipation consistently improved both accuracy and stability. Notably, the grid resolution had a significant impact immediately downstream of the jump's toe, indicating strong sensitivity to this parameter. OpenFOAM setup files for simulations also included for download. I have just post processed the data to create these images and animations using ParaView. The dataset used here is adapted from the work of: Timofey Mukha, Rickard Bensow in the work titled '[LES of a classical hydraulic jump]'. The source of the dataset can be found at [Link to the data source: https://doi.org/10.6084/m9.figshare.12593480.v5] . The dataset is licensed under CC BY 4.0 [License Link: https://creativecommons.org/licenses/by/4.0/]."
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