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

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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

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Subtitle	Dataset for the Development of Stochastically Reconstructed 3D Porous Media Micromodels using Additive Manufacturing: Numerical and Experimental Validation
Description	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 focused on determining the permeability of the formulated domains. These domains encompassed a diverse array of porosities (0.15, 0.25, 0.35, and 0.45) and a range of correlation lengths (lambda : 15, 25, 35, and 45) that define pore size distributions. Additionally, to evaluate the influence of domain size, numerical simulations were carried out across a spectrum of domain sizes ranging from 100 to 700. Furthermore, the numerical results derived from micro X-ray computed tomography scans of four micromodels (porosity : 0.45; lambda : 15, 25, 35, and 45) manufactured by additive manufacturing have also been incorporated within this dataset, for details cf. the realated dataset Ruf et al. (2023) and publication Lee et al. (2023).
Subject	Computer and Information Science; Earth and Environmental Sciences; Engineering
Keyword	Porous Media, Porous Medium, Lattice Boltzmann Methods, Additive Manufacturing, 3D Printing, Micro X-Ray Computed Tomography (micro-XRCT), X-Ray Microtomography
Related 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, submitted.
Data Generation	Simulation
License/Data Use Agreement	CC BY 4.0

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	designs_fixed_lambda.7z 7Z Archive - 65.0 MB Published Sep 6, 2023 8 Downloads MD5: d8a1138be37f2ed3b66e90fff018d70b Designed domains with fixed_lambda (porosity : 0.45, lambda : 45)	Access File File Access Public Download Options 7Z Archive Download Metadata Data File Citation EndNote XML RIS BibTeX
	designs_relative_lambda.7z 7Z Archive - 179.6 MB Published Sep 6, 2023 8 Downloads MD5: 00de6a2984a3b4b93f332a9509c5a0b8 Designed domains with relative lambda (fixed ratio of lambda (lambda = domain_size/20)) (porosity : 0.15, 0.25 and 0.45, lambda : 5, 10, 15, 20, 25, 30 and 35)	Access File File Access Public Download Options 7Z Archive Download Metadata Data File Citation EndNote XML RIS BibTeX
	designs_Representative_500s.7z 7Z Archive - 16.6 MB Published Sep 6, 2023 10 Downloads MD5: ce09ef2f10faac195400daf147fc2f28 Designed representative domains (porosity : 0.25, lambda : 15, 25, 35 and 45).	Access File File Access Public Download Options 7Z Archive Download Metadata Data File Citation EndNote XML RIS BibTeX
	designs_variograms.7z 7Z Archive - 41.5 MB Published Sep 6, 2023 101 Downloads MD5: ae268f22d3c33d06f2557324b2354eca Designed representative domains (porosity : 0.15 and 0.35, lambda : 15, 25, 35 and 45).	Access File File Access Public Download Options 7Z Archive Download Metadata Data File Citation EndNote XML RIS BibTeX
	fixed_lambda.7z 7Z Archive - 22.9 GB Published Sep 6, 2023 14 Downloads MD5: 1bac09954862b474ab8c81ef509cd888 Numerical results performed on fixed_lambda domains (porosity : 0.45, lambda : 45).	Access File File Access Public Download Options 7Z Archive Download Metadata Data File Citation EndNote XML RIS BibTeX
	readme.txt Plain Text - 1.1 KB Published Sep 6, 2023 39 Downloads MD5: 034248a09ec16fe9a5e96aaa5878ab99 Comprehensive explanation of each file format	Preview "readme.txt" Access File File Access Public Download Options Plain Text Download Metadata Data File Citation EndNote XML RIS BibTeX
	relative_lambda.7z 7Z Archive - 43.8 GB Published Sep 6, 2023 8 Downloads MD5: d8f8773c66eed8e25b12b80c3708399d Numerical results performed on relative_lambda domains (porosity : 0.15, 0.25 and 0.45, lambda : 5, 10, 15, 20, 25 ,30 and 35)	Access File File Access Public Download Options 7Z Archive Download Metadata Data File Citation EndNote XML RIS BibTeX
	Representative_500s.7z 7Z Archive - 2.7 GB Published Sep 6, 2023 15 Downloads MD5: 21fd033725d6bc8e143d239e8d1c51ea Numerical results performed on representative domains (porosity : 0.25, lambda : 15, 25, 35 and 45).	Access File File Access Public Download Options 7Z Archive Download Metadata Data File Citation EndNote XML RIS BibTeX
	results_based_on_scanning.7z 7Z Archive - 13.8 GB Published Sep 6, 2023 70 Downloads MD5: c49d91b19dc8cd843443bec6c84ed4a3 In the folders, you will find the numerical results obtained from fabricated samples with a fixed porosity of 45 and varying correlation lengths from 15 to 45. More detailed information about the scanning dataset can be found at the following link: https://doi.org/10.18419/darus-3243.	Access File File Access Public Download Options 7Z Archive Download Metadata Data File Citation EndNote XML RIS BibTeX
	variograms.7z 7Z Archive - 5.5 GB Published Sep 6, 2023 8 Downloads MD5: ec3bf5e5ab5e0f619759fb57c45e24e5 Numerical results performed on representative domains for variogram (porosity : 0.15 and 0.35, lambda : 15, 25, 35 and 45).	Access File File Access Public Download Options 7Z Archive Download Metadata Data File Citation EndNote XML RIS BibTeX

Citation Metadata

Persistent Identifier	doi:10.18419/darus-3244
Publication Date	2023-09-06
Title	Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm
Subtitle	Dataset for the Development of Stochastically Reconstructed 3D Porous Media Micromodels using Additive Manufacturing: Numerical and Experimental Validation
Author	Lee, Dongwon (University of Stuttgart) - ORCID: 0000-0002-5359-7803 Ruf, Matthias (University of Stuttgart) - ORCID: 0000-0003-0299-5921 Yiotis, Andreas (Technical University of Crete) - ORCID: 0000-0003-2818-561X Steeb, Holger (University of Stuttgart & SC SimTech) - ORCID: 0000-0001-7602-4920
Point of Contact	Use email button above to contact. Steeb, Holger (University of Stuttgart & SC SimTech) Yiotis, Andreas (Technical University of Crete)
Description	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 focused on determining the permeability of the formulated domains. These domains encompassed a diverse array of porosities (0.15, 0.25, 0.35, and 0.45) and a range of correlation lengths (lambda : 15, 25, 35, and 45) that define pore size distributions. Additionally, to evaluate the influence of domain size, numerical simulations were carried out across a spectrum of domain sizes ranging from 100 to 700. Furthermore, the numerical results derived from micro X-ray computed tomography scans of four micromodels (porosity : 0.45; lambda : 15, 25, 35, and 45) manufactured by additive manufacturing have also been incorporated within this dataset, for details cf. the realated dataset Ruf et al. (2023) and publication Lee et al. (2023).
Subject	Computer and Information Science; Earth and Environmental Sciences; Engineering
Keyword	Porous Media https://www.wikidata.org/wiki/Q3271208 (Wikidata) Porous Medium https://www.wikidata.org/wiki/Q3271208 (Wikidata) Lattice Boltzmann Methods https://www.wikidata.org/wiki/Q1807064 (Wikidata) Additive Manufacturing https://www.wikidata.org/wiki/Q360931 (Wikidata) 3D Printing https://www.wikidata.org/wiki/Q229367 (Wikidata) Micro X-Ray Computed Tomography (micro-XRCT) https://www.wikidata.org/wiki/Q3042540 (Wikidata) X-Ray Microtomography https://www.wikidata.org/wiki/Q3042540 (Wikidata)
Related 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, submitted.
Language	English
Producer	Porous Media Lab (University of Stuttgart) (PML) https://www.mib.uni-stuttgart.de/pml/
Production Date	2022
Production Location	University of Stuttgart, Institute of Applied Mechanics (CE), Stuttgart, 70569, Germany
Contributor	Researcher : Lee, Dongwon Researcher : Ruf, Matthias Supervisor : Yiotis, Andreas Supervisor : Steeb, Holger Rights Holder : Steeb, Holger
Funding Information	DFG: SFB 1313 ‐ 327154368 DFG: EXC 2075 - 390740016
Project	Investigation on designed porous media produced by material jetting method.
Deposit Date	2022-10-25
Data Type	Binarized image data; Numerical results
Related Dataset	Ruf, M., Lee, D., Yiotis, A., & Steeb, H. (2023). micro-XRCT datasets of stochastically reconstructed 3D porous media micromodels manufactured by additive manufacturing. https://doi.org/10.18419/darus-3243
Other Reference	Quiblier, J. A. (1984). A new three-dimensional modeling technique for studying porous media. J. Colloid Interface Sci., 98, 84-102. https://doi.org/10.1016/0021-9797(84)90481-8; Adler, P., Jacquin, C., & Quiblier, J. (1990). Flow in simulated porous media. Int. J. Multiph. Flow, 16, 691-712. https://doi.org/10.1016/0301-9322(90)90025-E; Hyman, J. D., & Winter, C. L (2014). Stochastic generation of explicit pore structures by thresholding gaussian random fields. J. Comput. Phys. 277, 16-31. https://doi.org/110.1016/j.jcp.2014.07.046; Psihogios, J., Kainourgiakis, M.E., Yiotis, A.G. et al. (2007). A Lattice Boltzmann study of non-newtonian flow in digitally reconstructed porous domains. Transp Porous Med 70, 279-292. https://doi.org/10.1007/s11242-007-9099-2

Process Metadata

Processing Methods	Numerical investigation on generated/scanned geometries (Lattice Boltzmann (LB) simulations for permeability were performed using scanned sample geometries with a porosity of 0.45 and correlation lengths (lambda) of 15, 25, 35, and 45. Additionally, simulations were conducted with numerically generated geometries featuring porosities of 0.15, 0.25, 0.35, and 0.45, along with the same correlation lengths. These geometries, generated through a stochastic algorithm, served as the basis for the LB simulations to assess permeability. The resulting permeability data were collected for comparison with subsequent experimental results. The detailed information of the used simulation can be found in the work of Psihogios et al.(2007).)
Method Parameters	Domain size (L) [dx] : 100 to 700 Discrete time step (t) [dt] : Depending on the domains, the values range from 1e+4 to 2e+4. Body force (F) [density*dx/dt^2] : 1e-8
Software	Lattice Boltzman Model Version: D3Q19 (Psihogios, J., Kainourgiakis, M.E., Yiotis, A.G. et al. (2007). A Lattice Boltzmann study of non-newtonian flow in digitally reconstructed porous domains. Transp Porous Med 70, 279-292. https://doi.org/10.1007/s11242-007-9099-2)
Environments	HLRS vulcan cluster (clx-25), mpifort, 4 computing nodes, PPN: 20

Engineering Metadata

Data Generation	Simulation
Measured Variables	Permeability (k) [dx^2]
Controlled Variables	Domain size (L) [dx] : 100 : 700 Input geometry file (*.asc)

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