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 micromodels using additive manufacturing: numerical and experimental validation. Scientific Reports, to be sumbmitted.
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Jan 15, 2025
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...
Sep 6, 2023
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
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....
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