1 to 10 of 28 Results
Jul 22, 2024 - Publication: Direct and indirect measurement of visco-elastic Poisson's ratio
Madadi, Hamid; Fauser, Dominik; Steeb, Holger, 2024, "Direct and Indirect Measurement of Complex Poisson's Ratio - Direct Measurement in Compression", https://doi.org/10.18419/DARUS-3593, DaRUS, V1, UNF:6:DTxQmNKgTlIShukG5ETziA== [fileUNF]
This data set contains directly determined complex Poisson's ratio from axial and transversal strain measurements. Here, the axial and transverse strains were measured locally with strain gauges (K-CXY3-0060-3-350-O, HBK, Darmstadt, Germany) on cylindric polymethyl methacrylate (PMMA, EH-Design, Wörrstadt, Germany) samples with a diameter of d = 30... |
Jul 22, 2024 - Publication: Direct and indirect measurement of visco-elastic Poisson's ratio
Fauser, Dominik; Steeb, Holger, 2024, "Direct and Indirect Measurement of Complex Poisson's Ratio - Direct Measurement in Tension", https://doi.org/10.18419/DARUS-3588, DaRUS, V1, UNF:6:aoD22efdw3P9pBZkFbmlkQ== [fileUNF]
This data set contains directly determined complex Poisson's ratio from axial and transversal strain measurements. Here, the axial and transverse strains were measured locally with strain gauges (K-CXY3-0015-3-350-O, HBK, Darmstadt, Germany) on cylindric polymethyl methacrylate (PMMA, EH-Design, Wörrstadt, Germany) samples with a diameter of d = 5... |
Jul 22, 2024 - Publication: Direct and indirect measurement of visco-elastic Poisson's ratio
Fauser, Dominik; Rodríguez Agudo, José Alberto; Steeb, Holger, 2024, "Direct and Indirect Measurement of Complex Poisson's Ratio - Indirect Measurement in Torsion and Tension", https://doi.org/10.18419/DARUS-3590, DaRUS, V1
This data set contains indirectly calculated complex Poisson's ratio by determining the complex Young's E* and complex shear modulus G* from torsion and tension measurements. The measurements were performed on cylindric polymethyl methacrylate (PMMA, EH-Design, Wörrstadt, Germany) samples with a diameter of d = 3 mm. Frequency measurements were per... |
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... |
Apr 18, 2024 - Publication: Microfluidic experiments
Karadimitriou, Nikolaos; Lee, Dongwon; Vahid Dastjerdi, Samaneh; Steeb, Holger, 2024, "Primary drainage experiments and fractal dimensions", https://doi.org/10.18419/DARUS-4114, DaRUS, V1
The current repository contains raw data in the shape of images collected during a systematic laboratory study, examining the usability of the fractal dimension in the characterization of the flow regime. The study is presented in the paper by Karadimitriou et al., 2024. The two fluids were the wetting phase (WP), FluorinertTM, FC-43, and the non-w... |
Sep 12, 2023 - Publication: Microfluidic experiments
Karadimitriou, Nikolaos; Steeb, Holger; Valavanides, Marios, 2022, "Pressure and volumetric flux measurements intended to scale relative permeability under steady state, co-flow conditions, in a PDMS micromodel", https://doi.org/10.18419/DARUS-2816, DaRUS, V2
The current repository contains raw data collected during a systematic laboratory study, examining the flow rate dependency of steady-state, co-injection of two-immiscible fluids within a microfluidic pore network model. The study is presented in the paper by Karadimitriou et al., 2023. The two fluids were the wetting phase (WP), FluorinertTM, FC77... |
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 previous study by Psihogios et al. (2007), where the simulations were f... |
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 designed using the stochastic model proposed by Quiblie (1984), Adler et al.... |
Aug 4, 2023 - Publication: Microfluidic experiments
Karadimitriou, Nikolaos; Lee, Dongwon; Steeb, Holger, 2023, "Visual characterization of displacement processes in porous media", https://doi.org/10.18419/DARUS-3615, DaRUS, V1
This dataset correlates to the submitted article to IEEE VIS 2023, entitled “Visual Analysis of Displacement Processes in Porous Media using Spatio-Temporal Flow Graphs”, by Straub et al. 2023. More specifically, this data set is the one used to create the graphs shown in all Figures, except Figure 2, of the article. In this work, 11 experiments we... |
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 (rubber) particle mixtures. Both particles have an identical diameter of... |