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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Gzip Archive - 37.7 MB - MD5: 07f9495bf6a982a46a739fbcd3508f5b
This dataset contains the processed source data and self-contained plotting scripts for regenerating the data-backed figures in the manuscript Quasi-Static Pore-Network Modeling for Evaporation-Driven Salt Transport and Precipitation in Porous Media.
Python Source Code - 14.7 KB - MD5: efc6d584e50b3ef02b17078890b2236f
Code
Supporting Python module containing application logic and helper functions used by the core routines.
Python Source Code - 5.7 KB - MD5: a5cead89dcfbaa922048bfdcb719d163
Code
Python script that aggregates theoretical mass transfer parameters from individual Sherwood number simulation outputs into consolidated master tables. For each simulation configuration (varying aperture, mean residence time, and CO₂ partial pressure), the script locates the row where the vertical coordinate z (in meters) first reaches 0.2 m, extrac...
Python Source Code - 20.6 KB - MD5: 8b72775b960ed173eeeb1d76ec7d6f99
Code
Python script that performs error analysis comparing experimental and simulation outcomes for fracture analog tests. It executes three analyses: (1) a steady-state comparison of tail-averaged experimental values against final simulated equilibrium values, saved as comparison_results.csv; (2) a sensitivity analysis examining how simulation outcomes...
Adobe PDF - 16.6 KB - MD5: d6d1a5b0bc3d5c2c38d46c0a4acfbbea
PDF figure generated by `plot.py time` comparing experimental and simulation time-series data for the 2 mm aperture cases at 0.5 bar CO₂ partial pressure. Shown in figure 6 (b) in associated publication.
Adobe PDF - 16.0 KB - MD5: da0b8269cb4b2da56ed86fd589112dc2
PDF figure generated by `plot.py time` comparing experimental and simulation time-series data for the 2 mm aperture cases at 1.0 bar CO₂ partial pressure. Shown in figure 6 (a) in associated publication.
Adobe PDF - 14.8 KB - MD5: e31707a8d5cedc2625e66c908c7daf5e
PDF figure generated by `plot.py time` comparing experimental and simulation time-series data for the 6 mm aperture cases at 0.5 bar CO₂ partial pressure. Shown in figure 6 (b) in associated publication.
Adobe PDF - 14.9 KB - MD5: abb7e99981d28d92443a806b5ee836a7
PDF figure generated by `plot.py time` comparing experimental and simulation time-series data for the 6 mm aperture cases at 1.0 bar CO₂ partial pressure. Shown in figure 5 (a) in associated publication.
Tabular Data - 1.2 KB - 9 Variables, 12 Observations - UNF:6:2yLuR2e2Sf719igm6TYZVA==
Data
Steady-state comparison between experimental and simulation outcomes for calcium concentration (cCa, mg/L) and pH. This file compares the tail-averaged experimental values against the final simulated equilibrium values, calculating the absolute difference for each case.
Tabular Data - 1.1 KB - 6 Variables, 12 Observations - UNF:6:8XQ82oQt0XS4LSUxk8VRDA==
Data
Transient error analysis comparing experimental and simulation time-series data for calcium concentration (cCa, mg/L) and pH. This file contains RMSE and MAE metrics calculated by aligning experimental timestamps with simulated values via linear interpolation, evaluating model performance throughout the entire duration of the experiment. Correspond...
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