Dataset supporting the publication "A systematic investigation into the effect of roughness on self-propelled swimming plates"

Dataset supporting the publication
Massey, J. M. O., Ganapathisubramani, B., & Weymouth, G. D. (2023). A systematic investigation into the effect of roughness on self-propelled swimming plates. Journal of Fluid Mechanics, 971, [A39]. https://doi.org/10.1017/jfm.2023.703

The data focuses on the effect of roughness on self-propelled swimming plates. The author has provided the data, and python scripts for plotting the majority of the graphs in the above publication. However, the flow fields are too large, so the lotus.f90 files are available so that the simulations can by run; this requires access to the solver and access can be made available upon request.

The data was generated, for the most part by our in-house LES solver 'Lotus'.

Software- or Instrument-specific information needed to interpret the data, including software and hardware version numbers: AMD nodes on the HPC architecture 'IRIDIS 5' was used to run the simulations.

The python files in ./analysis provide the methods for manipulation, and plotting of the data relating to the publication. The fort.9 files contain the forces, the .npy files contain checkpoints in the software to avoid expensive analysis techniques from repeating themselves (e.g. reading in flow field data). The vti, vtr, pvti, pvtr file extension denotes flow field data in paraview readable form, this dataset contains a very small fraction of that analysed, and more is available upon request.

The data is accessible via CC BY license.