1 to 10 of 54 Results
Jun 30, 2025 - Data Analytics in Engineering
Keshav, Sanath; Herb, Julius; Fritzen, Felix, 2025, "Supplemental data for "Spectral Normalization and Voigt–Reuss net: A universal approach to microstructure‐property forecasting with physical guarantees"", https://doi.org/10.18419/DARUS-5120, DaRUS, V1
This repository contains supplemental data for the article "Spectral Normalization and Voigt-Reuss net: A universal approach to microstructure‐property forecasting with physical guarantees", accepted for publication in GAMM-Mitteilungen by Sanath Keshav, Julius Herb, and Felix Fritzen [1]. The data contained in this DaRUS repository acts as an exte... |
Apr 23, 2025 - Data Analytics in Engineering
Fritzen, Felix; Herb, Julius; Sharba, Shadi, 2024, "Supplemental data for "Thermo-plastic Nonuniform Transformation Field Analysis for eigenstress analysis of materials undergoing laser melt injection"", https://doi.org/10.18419/DARUS-4509, DaRUS, V2
This repository contains supplemental data for the article "Thermo-Plastic Nonuniform Transformation Field Analysis for Eigenstress Analysis of Laser Dispersed Materials," submitted to Computer Methods in Applied Mechanics and Engineering (CMAME) by Felix Fritzen, Julius Herb, and Shadi Sharba. The data contained in this DaRUS repository act as an... |
Jan 30, 2025 - SFB1313: Project Area B01
Khurshid, Hamza; Polukhov, Elten; Keip, Marc-André, 2025, "Mixed variational formulation and finite-element implementation of second-order poro-elasticity: Datasets", https://doi.org/10.18419/DARUS-4485, DaRUS, V1
The datasets provided here are associated with our publication "Mixed variational formulation and finite-element implementation of second-order poro-elasticity". The main idea of the work is to develop a working model for second gradient poro-elasticity. This includes a mixed-variational formulation and finite-element formulation. The results are g... |
Jan 15, 2025 - Publication: Development of stochastically reconstructed 3D porous media micromodels using additive manufacturing: numerical and experimental validation
Yiotis, Andreas; Kainourgiakis, Michael, 2025, "Parallel Lattice Boltzmann code for simulating single phase flows in porous domains", https://doi.org/10.18419/DARUS-3705, DaRUS, V1
This dataset contains a parallelized Lattice Boltzmann code, along with an example input domain and input file containing the necessary parameters for a test run. A MATLAB script to visualize and process the simulation results is also provided. Among the uploaded files, Lb7mpi_281124.f90 is a computational code implementing a single phase Lattice B... |
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. The initial diameter and length of the unloaded cylindrical sample ar... |
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... |
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... |