Database of direct numerical simulations of Rayleigh-Taylor turbulence at low density contrast: 0D volume-averaged quantities
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https://entrepot.recherche.data.gouv.fr/citation?persistentId=doi:10.57745/VTM1PN
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This database contains volume-averaged (0D) quantities representing 493 direct numerical simulations (DNS) of Rayleigh-Taylor turbulence at low density contrast. Each DNS is initialized with different initial conditions that describe the initial perturbed interface separating the two fluids. These have a simple form and can be fully characterized with only four non-dimensional numbers. The database was used to investigate the influence of the initial conditions on the development of the Rayleigh-Taylor instability and the subsequent turbulent mixing (see associated references). The simulations were performed at CEA/DAM/DIF using the code Stratospec on supercomputers. The spatial resolution is 1024² x 2048, elongated in the vertical direction, and the overall computational cost is roughly equivalent to 30 million CPU hours. The contents, simulations and quantities available in this database are described in details in the file "Documentation_RTB_database.pdf". Associated references: S. Thévenin, B.-J. Gréa, G. Kluth, and B. T. Nadiga, “Leveraging initial conditions memory for modelling Rayleigh–Taylor turbulence,” Journal of Fluid Mechanics, vol. 1009, p. A17, 2025. doi: 10.1017/jfm.2025.209. Associated preprint: https://arxiv.org/abs/2403.17832. S. Thévenin, "Contribution of machine learning to the modeling of turbulent mixing", PhD thesis, Université Paris-Saclay, 2024. URL: https://theses.fr/s299461.
提供机构:
Recherche Data Gouv
创建时间:
2024-12-20



