Institute of Applied Mechanics (MIB)

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121 to 130 of 577 Results

POREMAPS 1.0.0: Code, Benchmarks, Applications Jun 21, 2024 - POREMAPS: Code, Benchmarks, Applications Krach, David; Ruf, Matthias; Steeb, Holger, 2024, "POREMAPS 1.0.0: Code, Benchmarks, Applications", https://doi.org/10.18419/DARUS-3676, DaRUS, V1 Initial release 1.0.0 for POREMAPS, PORous Media Anisotropic Permeability Solver for Stokes flow including benchmarks and applications according to Krach et al. (2024). POREMAPS is a Finite Difference Method (FDM) -based parallized Stokes flow solver using MPI, specifically designed to process large binarized 3D image datasets of porous media such...
POREMAPS_applications.tar.gz Jun 21, 2024 - POREMAPS 1.0.0: Code, Benchmarks, Applications Gzip Archive - 295.7 MB - MD5: 33f370752597896840865f475f86e655
POREMAPS_benchmarks.tar.gz Jun 21, 2024 - POREMAPS 1.0.0: Code, Benchmarks, Applications Gzip Archive - 548.7 MB - MD5: ceb6b00fde672fa65e44145d222e3f17
POREMAPS_code.tar.gz Jun 21, 2024 - POREMAPS 1.0.0: Code, Benchmarks, Applications Gzip Archive - 1.3 MB - MD5: d0c18da1f571980c07215c068039e5b3
Image processing code for characterization of multiphase flow in porous media May 15, 2024 - Publication: Microfluidic experiments Vahid Dastjerdi, Samaneh; Steeb, Holger, 2024, "Image processing code for characterization of multiphase flow in porous media", https://doi.org/10.18419/DARUS-4153, DaRUS, V1 This work utilizes microfluidic experiments to gather data captured as snapshots during the experiments. These snapshots provide real-time information and undergo image processing to derive the required data. Image processing involves several steps tailored to the investigations: Making a reference image (mask): This process involves creating a ref...
01.tif May 15, 2024 - Image processing code for characterization of multiphase flow in porous media TIFF Image - 722.2 KB - MD5: 4417483ac604d87af74748ccc8a06866 Sample image of a primary drainage displacement event.
02.tif May 15, 2024 - Image processing code for characterization of multiphase flow in porous media TIFF Image - 769.8 KB - MD5: 0fd43cd77042d29d0ad3152daedd7a09 Sample image of a primary drainage displacement event.
03.tif May 15, 2024 - Image processing code for characterization of multiphase flow in porous media TIFF Image - 867.9 KB - MD5: 7da09769b68edd808b6ecebfe1ae2640 Sample image of a primary drainage displacement event.
04.tif May 15, 2024 - Image processing code for characterization of multiphase flow in porous media TIFF Image - 1.0 MB - MD5: 138467a6849e48524028f1a578597039 Sample image of a primary drainage displacement event.
05.tif May 15, 2024 - Image processing code for characterization of multiphase flow in porous media TIFF Image - 1.1 MB - MD5: 0c35237c784d4e1b281348ab40f04ea8 Sample image of a primary drainage displacement event.

POREMAPS 1.0.0: Code, Benchmarks, Applications

Jun 21, 2024 - POREMAPS: Code, Benchmarks, Applications

Krach, David; Ruf, Matthias; Steeb, Holger, 2024, "POREMAPS 1.0.0: Code, Benchmarks, Applications", https://doi.org/10.18419/DARUS-3676, DaRUS, V1

Initial release 1.0.0 for POREMAPS, PORous Media Anisotropic Permeability Solver for Stokes flow including benchmarks and applications according to Krach et al. (2024). POREMAPS is a Finite Difference Method (FDM) -based parallized Stokes flow solver using MPI, specifically designed to process large binarized 3D image datasets of porous media such...

POREMAPS_applications.tar.gz

Jun 21, 2024 - POREMAPS 1.0.0: Code, Benchmarks, Applications

Gzip Archive - 295.7 MB -

POREMAPS_benchmarks.tar.gz

Jun 21, 2024 - POREMAPS 1.0.0: Code, Benchmarks, Applications

Gzip Archive - 548.7 MB -

POREMAPS_code.tar.gz

Jun 21, 2024 - POREMAPS 1.0.0: Code, Benchmarks, Applications

Gzip Archive - 1.3 MB -

Image processing code for characterization of multiphase flow in porous media

May 15, 2024 - Publication: Microfluidic experiments

Vahid Dastjerdi, Samaneh; Steeb, Holger, 2024, "Image processing code for characterization of multiphase flow in porous media", https://doi.org/10.18419/DARUS-4153, DaRUS, V1

This work utilizes microfluidic experiments to gather data captured as snapshots during the experiments. These snapshots provide real-time information and undergo image processing to derive the required data. Image processing involves several steps tailored to the investigations: Making a reference image (mask): This process involves creating a ref...

01.tif

May 15, 2024 - Image processing code for characterization of multiphase flow in porous media

TIFF Image - 722.2 KB -