SFB 1313 is an interdisciplinary Collaborative Research Centre of the University of Stuttgart, consisting of four major project areas (A-D), divided in 17 individual research projects. It is funded by the German Research Foundation (DFG) and affiliated to the Cluster of Excellence "Data-integrated Simulation Science (SimTech)".

Interfaces have a great impact on multi-field processes (flow, transport and deformation) in porous-media systems. SFB 1313 aims to research these interfaces and to gain a fundamental understanding how they affect multi-field processes. An important step is therefore to quantify how the dynamics of fluid-fluid and fluid-solid interfaces in porous-media systems are affected by pore geometry, heterogeneity and fractures. Furthermore, developing experimental knowledge as well as mathematical and computational models will support SFB 1313‘s research.

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Python Source Code - 7.6 KB - MD5: b10f60fdb05779a43a52e6eabca6301a
Code
Python script that generates Figure D3 by visualizing plug-flow concentration contours for 2 mm and 6 mm aperture cases (10 min residence time, 1.0 bar CO₂, 25 °C) at multiple time steps, loading simulation data from VTU files via a PVD index, and saving the output as Plug_Flow_2and6mm_pC1.0_t10min_T25.pdf and .png.
Python Source Code - 7.6 KB - MD5: 1892dec4d9bfc2c470554eb171460986
Code
Central command-line interface for generating publication figures. Provides three sub-commands — time (concentration vs. time), da (Damköhler-number curves), and sherwood (Sherwood-number curves) — each producing the corresponding plot type.
JSON - 9.6 KB - MD5: 13dfb23902c69b5a0ad99487ecae4b16
Code
JSON configuration file used by the core analysis routines to define plot settings and case parameters.
Python Source Code - 44.5 KB - MD5: 32167c52e0aba826c5331ca016a4f563
Code
Supporting Python module implementing specific plotting functions and visualization logic used by the core plot.py entry point.
Adobe PDF - 1.7 MB - MD5: 49403f2b4b8454a1c27903178306bc77
Visualization of plug-flow concentration contours for 2 mm and 6 mm aperture cases at 10 min residence time (1.0 bar CO₂, 25 °C), generated by plot_plug_flow_contours.py. Corresponds to Figure D3 in the associated publication.
PNG Image - 80.9 KB - MD5: 710f5539ca42007eb19868e330b95447
Visualization of plug-flow concentration contours for 2 mm and 6 mm aperture cases at 10 min residence time (1.0 bar CO₂, 25 °C), generated by plot_plug_flow_contours.py. Corresponds to Figure D3 in the associated publication.
Adobe PDF - 16.8 KB - MD5: 810a02cf455965e3b478cfe883f0776a
PDF figure generated by `plot.py time` displaying pre-experimental numerical trends for varying apertures at 10 min residence time and 0.02 bar CO₂ partial pressure. Not shown in associated publication.
Adobe PDF - 16.7 KB - MD5: 58bfc28f54c050b62700378a1f4e5441
PDF figure generated by `plot.py time` displaying pre-experimental numerical trends for varying apertures at 10 min residence time and 0.5 bar CO₂ partial pressure. Shown in figure 2 (b) in associated publication.
Adobe PDF - 16.6 KB - MD5: cd387cb4753be19f4e5bf9044537675b
PDF figure generated by `plot.py time` displaying pre-experimental numerical trends for varying apertures at 10 min residence time and 1.0 bar CO₂ partial pressure. Shown in figure 2 (a) in associated publication.
Tabular Data - 1.0 KB - 6 Variables, 12 Observations - UNF:6:UMYu2gXzWsTKcOa09zX3RQ==
Analysis results generated by investigate_recirculation.py examining flow recirculation characteristics. This file contains calculated Richardson numbers (published in Table D2) and Rayleigh numbers (not included in the publication).
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