sphere3d

3D steady flow around a stationary sphere (Re=50, 100, 150, 200, 250, 300)

⚠️

All commands displayed below assume you are in the directory containing the present README file.

Run the example

docker pull barbagroup/petibm:0.5.1-GPU-OpenMPI-xenial
nvidia-docker run --rm -it -v $(pwd):/data barbagroup/petibm:0.5.1-GPU-OpenMPI-xenial /data/run.sh

ℹ️

For reference, each simulation completed 2,500 time steps in about 1 hour using

• 4 MPI processes (Intel(R) Core(TM) i7-3770 CPU @ 3.40GHz)
• 1 NVIDIA K40 GPU device

Post-processing

Activate your conda environment (see instructions):

conda activate petibm-examples

To plot the drag coefficient versus the Reynolds number

python scripts/plot_drag_coefficient.py

We compare the drag coefficient with the correlation from Clift et al. (1978) and the experimental data from Roos & Willmarth (1971). The figure is saved as a PNG file (drag_coefficient.png) in the sub-folder figures on the present directory.

Figure: Drag coefficient on the sphere versus the Reynolds number. Comparison with the correlation from Clift et al. (1978) and the experimental data from Roos & Willmarth (1971).

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References

• Clift, R., Grace, J. R., & Weber, M. E. (1978). Bubbles, drops, and particles–Academic Press. New York, 510.
• Roos, F. W., & Willmarth, W. W. (1971). Some experimental results on sphere and disk drag. AIAA journal, 9(2), 285-291.