Statistical data of Rayleigh-Benard simulations performed in a periodic domain using the AFiD code developed at the Physics of Fluids group at the university of Twente. When using the data please cite:
R.J.A.M. Stevens, A. Blass, X. Zhu, R. Verzicco, D. Lohse,
Turbulent thermal superstructures in Rayleigh-Bénard convection,
Phys. Rev. Fluids 3, 041501 (2018).
The data will be updated with new files as soon as they become available. These are then published in a new version of the object.
The statistical data has been obtained using the open source code AFiD, which is available at https://github.com/PhysicsofFluids/AFiD. The used numerical method is described in the freely available papers listed below:
- X. Zhu, E. Phillips, V. Spandan, J. Donners, G. Ruetsch, J. Romero, R. Ostilla-Mónico, Y. Yang, D. Lohse, R. Verzicco, M. Fatica, R.J.A.M. Stevens, AFiD-GPU: a versatile Navier-Stokes Solver for Wall-Bounded Turbulent Flows on GPU Clusters, Computer Physics Communications, in press, see https://arxiv.org/abs/1705.01423
- E.P. van der Poel, R. Ostilla Mónico, J. Donners, R. Verzicco, A pencil distributed finite difference code for strongly turbulent wall-bounded flows, Computers and Fluids, 116, 10-16 (2015)
The simulation results published here are part of work that is supported by FOM and MCEC, both funded by NWO. We also thank the German Science Foundation (DFG) for support via program SSP 1881.
We acknowledge the Gauss Centre for Supercomputing (GCS, www.gauss-centre.eu) for providing computing time for a GCS Large-Scale Project on the GCS share of the supercomputer SuperMUC at Leibniz Supercomputing Centre (LRZ, www.lrz.de) under grant 10628/11695. GCS is the alliance of the three national supercomputing centres HLRS (Universität Stuttgart), JSC (Forschungszentrum Jülich), and LRZ (Bayerische Akademie der Wissenschaften), funded by the German Federal Ministry of Education and Research (BMBF) and the German State Ministries for Research of Baden-Württemberg (MWK), Bayern (StMWFK) and Nordrhein-Westfalen (MIWF).
Part of the simulations was carried out on the national e-infrastructure of SURFsara, a subsidiary of SURF cooperation, the collaborative ICT organization for Dutch education and research.
For each simulation a separate HDF5 file is provided. All simulation results provided here have been obtained using AFiD. Therefore the main control parameters of the simulations are:
- Rayleigh number:
- Prandtl number:
- Aspect ratio:
which are indicated in the file names
The information provided in each HDF5 file are the control parameters:
- Rayleigh number: (HDF5 identifier: ray)
- Prandtl number: (HDF5 identifier: pra)
- Aspect ratio: (HDF5 identifier: asp)
- Grid resolution in wall normal direction: (HDF5 identifier: nx)
- Grid resolution in first horizontal direction: (HDF5 identifier: ny)
- Grid resolution in second horizontal direction: (HDF5 identifier: nz)
The grid location where the statistical information is provided:
- Location for temperature statistics (HDF5 identifier: z_temp)
- Location for wall normal velocity (HDF5 identifier: z_vx -- to be added)
- Location for horizontal velocity components (HDF5 identifier: z_vyvz -- to be added)
The following horizontally averaged statistical quantities are available in the provided files:
- Mean temperature profile: (HDF5 identifier: temp_m)
- Standard deviation of the temperature (HDF5 identifier: temp_std)
The following horizontally averaged statistical quantities will be added in the future:
- Skewness of the temperature field (HDF5 identifier: temp_ske)
- Kurtosis of the temperature field (HDF5 identifier: temp_kur)
