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.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

11 to 20 of 2,849 Results
compare_experiment_simulation.py
May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog
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...
Comparison_Experiment_Simulation_a2mmpC0.5.pdf
May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog
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.
Comparison_Experiment_Simulation_a2mmpC1.0.pdf
May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog
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.
Comparison_Experiment_Simulation_a6mmpC0.5.pdf
May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog
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.
Comparison_Experiment_Simulation_a6mmpC1.0.pdf
May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog
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.
comparison_results.csv
May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog
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.
comparison_results_transient.csv
May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog
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...
Da_carb_Experimental_Values.pdf
May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog
Adobe PDF - 16.2 KB - MD5: eab647cd5da99f10053f5df8c762cfb2
PDF figure generated by `plot.py da` showing the calculated Damköhler numbers for the carbonate reaction pathway (Da_carb) for all 12 experimental cases, derived from time-series calcium concentration and pH data. Shown in figure 7 (a) in associated publication.
Da_carb_Grid_Convergent_Simulation_Values.pdf
May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog
Adobe PDF - 16.2 KB - MD5: 0a6aa9c9bb4bfc1a4ae7f5ca0febcf8e
PDF figure generated by `plot.py da` showing the calculated Damköhler numbers for the carbonate reaction pathway (Da_carb) for all 12 simulation cases using the grid-convergent resolution, derived from integral quantities. Shown in figure 7 (b) in associated publication.
Da_carb_Initial_Grid_Simulation_Values.pdf
May 27, 2026 - Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog
Adobe PDF - 16.2 KB - MD5: 0311b84a9cc183ed7d9a2f17102a4acf
PDF figure generated by `plot.py da` showing the calculated Damköhler numbers for the carbonate reaction pathway (Da_carb) for all 12 simulation cases using the initial grid resolution, derived from integral quantities. Not shown in associated publication.
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.