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Subject: Computer and Information Science

1 to 10 of 60 Results

In situ micro-XRCT data set of an open-cell polyurethane foam sample under uniaxial compression load Jul 29, 2024 - Publication: Foams Ruf, Matthias; Steeb, Holger, 2024, "In situ micro-XRCT data set of an open-cell polyurethane foam sample under uniaxial compression load", https://doi.org/10.18419/darus-3010, DaRUS, V1, UNF:6:uDIvFcZaJFdGVoODn5h7UA== [fileUNF] This dataset contains seven micro X-Ray Computed Tomography (micro-XRCT) scan data sets (projection, reconstructed, and segmented images, respectively) of an open-cell reticulated Polyurethane (PUR) foam specimen with 10 pores per inch under different uniaxial deformation states....
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 desig...
POREMAPS: Code, Benchmarks, Applications(Universität Stuttgart) Jun 19, 2024Chair of Continuum Mechanics POREMAPS, a Finite Difference Method (FDM) based PORous Media Anisotropic Permeability Solver for Stokes flow including benchmarks and applications.
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:...
Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm Sep 6, 2023 - Publication: Development of stochastically reconstructed 3D porous media micromodels using additive manufacturing: numerical and experimental validation Lee, Dongwon; Ruf, Matthias; Yiotis, Andreas; Steeb, Holger, 2023, "Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm", https://doi.org/10.18419/darus-3244, DaRUS, V1 This dataset contains the outcomes of conducted numerical simulations, rooted in designs generated using a stochastic algorithm devised by Quiblie (1984), Adler et al. (1990), and Hyman et al. (2014). Moreover, the investigation employed Lattice Boltzmann simulation, as used in p...
micro-XRCT datasets of stochastically reconstructed 3D porous media micromodels manufactured by additive manufacturing Sep 6, 2023 - Publication: Development of stochastically reconstructed 3D porous media micromodels using additive manufacturing: numerical and experimental validation Ruf, Matthias; Lee, Dongwon; Yiotis, Andreas; Steeb, Holger, 2023, "micro-XRCT datasets of stochastically reconstructed 3D porous media micromodels manufactured by additive manufacturing", https://doi.org/10.18419/darus-3243, DaRUS, V1 This dataset contains micro X-ray Computed Tomography (micro-XRCT) scan data sets (projection, reconstructed, and binarized images) of 3D porous media micromodels manufactured by additive manufacturing using the Material Jetting (MJ) method. The micromodel geometries were designe...
Publication: Development of stochastically reconstructed 3D porous media micromodels using additive manufacturing: numerical and experimental validation(University of Stuttgart) Sep 4, 2023Publications This dataverse includes the underlying measurment and simulation data of the publication: Lee, D., Ruf, M., Karadimitriou, N., Steeb, H., Manousidaki, M., Varouchakis, E.A., Tzortzakis, S., & Yiotis, A. (2023). Development of stochastically reconstructed 3D porous media micromode...
micro-XRCT data sets and in situ measured ultrasonic wave propagation of pre-stressed monodisperse rubber and glass particle mixtures with 10%, 20%, and 30% volume rubber content: samples 2 and 3 May 4, 2023 - Publication: Particulate systems Ruf, Matthias; Taghizadeh, Kianoosh; Steeb, Holger, 2023, "micro-XRCT data sets and in situ measured ultrasonic wave propagation of pre-stressed monodisperse rubber and glass particle mixtures with 10%, 20%, and 30% volume rubber content: samples 2 and 3", https://doi.org/10.18419/darus-3437, DaRUS, V1, UNF:6:LyvQPm+lMHvJ9Z4neyxihA== [fileUNF] This dataset contains 12 micro X-ray Computed Tomography (micro-XRCT) data sets from scans of cylindrical particulate mixture samples (diameter 80 mm; unloaded height 80 mm) under different uniaxial compression loads. The samples consist of monodisperse stiff (glass) and soft (ru...
micro-XRCT data sets and in situ measured ultrasonic wave propagation of pre-stressed monodisperse rubber and glass particle mixtures with 10%, 20%, 40%, and 60% volume rubber content: sample 1 May 4, 2023 - Publication: Particulate systems Ruf, Matthias; Taghizadeh, Kianoosh; Steeb, Holger, 2023, "micro-XRCT data sets and in situ measured ultrasonic wave propagation of pre-stressed monodisperse rubber and glass particle mixtures with 10%, 20%, 40%, and 60% volume rubber content: sample 1", https://doi.org/10.18419/darus-3436, DaRUS, V1, UNF:6:B6SNTx6Co9kvBdKrEWyCwA== [fileUNF] This dataset contains 8 micro X-ray Computed Tomography (micro-XRCT) data sets from scans of cylindrical particulate mixture samples (diameter 80 mm; unloaded height 80 mm) under different uniaxial compression loads. The samples consist of monodisperse stiff (glass) and soft (rub...
In situ performed fracturing experiment of a limestone sample using an X-ray transparent triaxial cell: micro-XRCT data sets and measurement data Apr 5, 2023 - Publication: Crystalline rocks Ruf, Matthias; Lee, Dongwon; Steeb, Holger, 2023, "In situ performed fracturing experiment of a limestone sample using an X-ray transparent triaxial cell: micro-XRCT data sets and measurement data", https://doi.org/10.18419/darus-3106, DaRUS, V1, UNF:6:jZuOGs6RP72PrLA8cCwFjg== [fileUNF] This dataset contains in situ recorded micro X-ray Computed Tomography (micro-XRCT) scan data sets (reconstructed and projection images) of a marine limestone sample under different triaxial loading conditions. The loading conditions were applied to establish the initial conditio...

In situ micro-XRCT data set of an open-cell polyurethane foam sample under uniaxial compression load

Jul 29, 2024 - Publication: Foams

Ruf, Matthias; Steeb, Holger, 2024, "In situ micro-XRCT data set of an open-cell polyurethane foam sample under uniaxial compression load", https://doi.org/10.18419/darus-3010, DaRUS, V1, UNF:6:uDIvFcZaJFdGVoODn5h7UA== [fileUNF]

This dataset contains seven micro X-Ray Computed Tomography (micro-XRCT) scan data sets (projection, reconstructed, and segmented images, respectively) of an open-cell reticulated Polyurethane (PUR) foam specimen with 10 pores per inch under different uniaxial deformation states....

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 desig...

POREMAPS: Code, Benchmarks, Applications(Universität Stuttgart)

Jun 19, 2024Chair of Continuum Mechanics

POREMAPS, a Finite Difference Method (FDM) based PORous Media Anisotropic Permeability Solver for Stokes flow including benchmarks and applications.

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:...

Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm

Sep 6, 2023 - Publication: Development of stochastically reconstructed 3D porous media micromodels using additive manufacturing: numerical and experimental validation

Lee, Dongwon; Ruf, Matthias; Yiotis, Andreas; Steeb, Holger, 2023, "Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm", https://doi.org/10.18419/darus-3244, DaRUS, V1

This dataset contains the outcomes of conducted numerical simulations, rooted in designs generated using a stochastic algorithm devised by Quiblie (1984), Adler et al. (1990), and Hyman et al. (2014). Moreover, the investigation employed Lattice Boltzmann simulation, as used in p...

micro-XRCT datasets of stochastically reconstructed 3D porous media micromodels manufactured by additive manufacturing

Sep 6, 2023 - Publication: Development of stochastically reconstructed 3D porous media micromodels using additive manufacturing: numerical and experimental validation

Ruf, Matthias; Lee, Dongwon; Yiotis, Andreas; Steeb, Holger, 2023, "micro-XRCT datasets of stochastically reconstructed 3D porous media micromodels manufactured by additive manufacturing", https://doi.org/10.18419/darus-3243, DaRUS, V1

This dataset contains micro X-ray Computed Tomography (micro-XRCT) scan data sets (projection, reconstructed, and binarized images) of 3D porous media micromodels manufactured by additive manufacturing using the Material Jetting (MJ) method. The micromodel geometries were designe...

Publication: Development of stochastically reconstructed 3D porous media micromodels using additive manufacturing: numerical and experimental validation(University of Stuttgart)

Sep 4, 2023Publications

This dataverse includes the underlying measurment and simulation data of the publication: Lee, D., Ruf, M., Karadimitriou, N., Steeb, H., Manousidaki, M., Varouchakis, E.A., Tzortzakis, S., & Yiotis, A. (2023). Development of stochastically reconstructed 3D porous media micromode...

micro-XRCT data sets and in situ measured ultrasonic wave propagation of pre-stressed monodisperse rubber and glass particle mixtures with 10%, 20%, and 30% volume rubber content: samples 2 and 3

May 4, 2023 - Publication: Particulate systems

Ruf, Matthias; Taghizadeh, Kianoosh; Steeb, Holger, 2023, "micro-XRCT data sets and in situ measured ultrasonic wave propagation of pre-stressed monodisperse rubber and glass particle mixtures with 10%, 20%, and 30% volume rubber content: samples 2 and 3", https://doi.org/10.18419/darus-3437, DaRUS, V1, UNF:6:LyvQPm+lMHvJ9Z4neyxihA== [fileUNF]

This dataset contains 12 micro X-ray Computed Tomography (micro-XRCT) data sets from scans of cylindrical particulate mixture samples (diameter 80 mm; unloaded height 80 mm) under different uniaxial compression loads. The samples consist of monodisperse stiff (glass) and soft (ru...

micro-XRCT data sets and in situ measured ultrasonic wave propagation of pre-stressed monodisperse rubber and glass particle mixtures with 10%, 20%, 40%, and 60% volume rubber content: sample 1

May 4, 2023 - Publication: Particulate systems

Ruf, Matthias; Taghizadeh, Kianoosh; Steeb, Holger, 2023, "micro-XRCT data sets and in situ measured ultrasonic wave propagation of pre-stressed monodisperse rubber and glass particle mixtures with 10%, 20%, 40%, and 60% volume rubber content: sample 1", https://doi.org/10.18419/darus-3436, DaRUS, V1, UNF:6:B6SNTx6Co9kvBdKrEWyCwA== [fileUNF]

This dataset contains 8 micro X-ray Computed Tomography (micro-XRCT) data sets from scans of cylindrical particulate mixture samples (diameter 80 mm; unloaded height 80 mm) under different uniaxial compression loads. The samples consist of monodisperse stiff (glass) and soft (rub...

In situ performed fracturing experiment of a limestone sample using an X-ray transparent triaxial cell: micro-XRCT data sets and measurement data

Apr 5, 2023 - Publication: Crystalline rocks

Ruf, Matthias; Lee, Dongwon; Steeb, Holger, 2023, "In situ performed fracturing experiment of a limestone sample using an X-ray transparent triaxial cell: micro-XRCT data sets and measurement data", https://doi.org/10.18419/darus-3106, DaRUS, V1, UNF:6:jZuOGs6RP72PrLA8cCwFjg== [fileUNF]

This dataset contains in situ recorded micro X-ray Computed Tomography (micro-XRCT) scan data sets (reconstructed and projection images) of a marine limestone sample under different triaxial loading conditions. The loading conditions were applied to establish the initial conditio...

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