Project Z02 (Porous Media Lab) provides experimental infrastructure and expertise for studying flow, transport, and deformation in porous media. It supports CRC 1313 with microfluidics and in-situ XRCT, enabling high-resolution, real-time imaging. Key advances include custom micromodels, novel imaging setups, and 4D data tools. Research addressed fracture mechanics, salt precipitation, and carbonate dissolution. Upcoming goals focus on dynamic fatigue tests, spectral XRCT, and tracer-based microfluidic analysis. The lab drives benchmarking and validation efforts across the CRC. Strong collaborations amplify its scientific and technical impact.
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151 to 160 of 269 Results
6o_projections.tar.gz
Apr 5, 2023 - In situ performed fracturing experiment of a limestone sample using an X-ray transparent triaxial cell: micro-XRCT data sets and measurement data
Gzip Archive - 18.0 GB - MD5: 41d0b009b7f2a38a9ccb3f7b9013863e
Projection images (360 deg, angle increment 0.2 deg), dark image (di) and open beam image (ob) in 16 bit *.tif file format of overview scan "6o". (Internal ID: 20220818_02/projections)
6o_reconstructed_cropped.tar.gz
Apr 5, 2023 - In situ performed fracturing experiment of a limestone sample using an X-ray transparent triaxial cell: micro-XRCT data sets and measurement data
Gzip Archive - 2.8 GB - MD5: 4d157feb30236d7c97b08a92f8b1c70c
Cropped reconstructed micro-XRCT data set in 16 bit *.tif file format of detail scan "6o" ("6o_reconstructed.tar.gz"). 912x912x2141 voxels with a uniform voxel size of 7.5 µm. (Internal ID: 20220818_02/reconstructed_cropped)
6o_reconstructed.tar.gz
Apr 5, 2023 - In situ performed fracturing experiment of a limestone sample using an X-ray transparent triaxial cell: micro-XRCT data sets and measurement data
Gzip Archive - 20.6 GB - MD5: c9efd054e36cd9845021af23dbdde86c
Reconstructed micro-XRCT data set in 16 bit *.tif file format of overview scan "6o" ("6o_projections.tar.gz"). 2940x2940x2141 voxels with a uniform voxel size of 7.5 µm. (Internal ID: 20220818_02/reconstructed)
pumpA_data.tab
Apr 5, 2023 - In situ performed fracturing experiment of a limestone sample using an X-ray transparent triaxial cell: micro-XRCT data sets and measurement data
Tabular Data - 92.0 MB - 4 Variables, 2710609 Observations - UNF:6:85GK4HNLvPYSdYWASl8Dpw==
Data of the universal testing machine used to apply the axial load sigma_a.
pumpB_data.tab
Apr 5, 2023 - In situ performed fracturing experiment of a limestone sample using an X-ray transparent triaxial cell: micro-XRCT data sets and measurement data
Tabular Data - 93.7 MB - 4 Variables, 2710606 Observations - UNF:6:gRZCCO845YrgEc9udZcVlg==
Data of the syringe pump used to control the pore fluid pressure p.
utm_data.tab
Apr 5, 2023 - In situ performed fracturing experiment of a limestone sample using an X-ray transparent triaxial cell: micro-XRCT data sets and measurement data
Tabular Data - 81.2 MB - 3 Variables, 2710602 Observations - UNF:6:rdCQ2hRLGvFlsnGmMO4duw==
Data of the syringe pump used to control the confining fluid pressure sigma_r.
Image enhancement code: time-resolved tomograms of EICP application using 3D U-net
Feb 7, 2023 - Publication: Machine learning assists in increasing the time resolution of X-ray tomography
Lee, Dongwon; Steeb, Holger, 2023, "Image enhancement code: time-resolved tomograms of EICP application using 3D U-net", https://doi.org/10.18419/DARUS-2991, DaRUS, V1
This dataset contains the codes to reproduce the results of "Time resolved micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in sintered glass bead columns", cf. https://doi.org/10.18419/darus-2227. The code takes "low-dose" images as an input where the images contain many artifacts and noise as a trade-off of a fast data acq...
data.7z
Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net
7Z Archive - 417.9 MB - MD5: ab58b9cb6a76de1e09c5baa790eada71
Data for training and examples for pre/post-processing
example.log
Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net
Plain Text - 155 B - MD5: 770701e71b665603a9e61292c7824135
An example of training log file (all the adopted parameters used during training are saved in this log)
Frac_Unet_postprocess.py
Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net
Python Source Code - 5.7 KB - MD5: ee7d79e5e2f70aabaae7bae129627301
Post-processing code to create enhanced images
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