The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/897ba0bb-c3e5-4e31-9e6a-31f6a19f2e6c

Howland, Chris; De Paoli, Marco (2024): Data supporting "Towards the understanding of convective dissolution in confined porous media: thin bead pack experiments, two-dimensional direct numerical simulations and physical models". Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/897ba0bb-c3e5-4e31-9e6a-31f6a19f2e6c.v2

Dataset

x choose version: version 1 - 2024-05-01

• Classical Physics
• Geophysics
• Environmental Engineering
• Earth Sciences
• Engineering
• Physical Sciences

convection, dissolution, mixing, porous media

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Chris Howland , Marco De Paoli

This dataset contains the simulation and experiment data needed to reproduce the figures of the Journal of Fluid Mechanics article stated in the title. In this study, we performed laboratory experiments and numerical simulations of the Rayleigh-Taylor instability in a porous medium. To understand the mixing of solute by the resulting flow, we quantified the mixing length, scalar dissipation rate and mean concentration profiles over time. This dataset contains the record of these quantities along with the Python notebooks needed to plot them in the figures.

• 2024-05-01 first online

• 2024-05-21 published, posted

4TU.ResearchData

zip containing: ipynb notebooks, h5 data files, png images

Towards the understanding of convective dissolution in confined porous media: thin bead pack experiments, two-dimensional direct numerical simulations and physical models

• Modelling the Effect of DIspersion on convection in porous mediA (grant code 101062123) [more info...] Horizon Europe (HORIZON)
• Max Planck Center for Complex Fluid Dynamics Max Planck Society

University of Twente, Faculty of Science and Technology