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Document type:
Forschungsdaten
Publication date:
07.11.2023
Responsible:
Winter, Josef
Authors:
Hoppe, Nils; Winter, Josef; Adami, Stefan; Adams, Nikolaus A.
Author affiliation:
TUM
Publisher:
TUM
Title:
ALPACA - a level-set based sharp-interface multiresolution solver for conservation laws
Identifier:
doi:10.14459/2022mp1639173
End date of data production:
23.11.2021
Subject area:
DAT Datenverarbeitung, Informatik; MAS Maschinenbau; PHY Physik; TEC Technik, Ingenieurwissenschaften (allgemein)
Resource type:
Simulationen / simulations; Logfiles und Nutzungsdaten / log files and usage data; Textdokumente / text documents
Data type:
Bilder / images; Texte / texts; Programme und Anwendungen / software and applications
Other data type:
binary HDF5 field data
Description:
Raw- and post-proccsed results of three dimensional compressible multi-phase flow simulations used in the referenced paper.
Method of data assessment:
Context: Numerical simulation of compressible multi-phase flows. Tools: ALPACA code framework used for numerical simulation. Paraview for post-processing. Python and Bash for convenience scripting Infrastructure: SuperMUC-NG
Links:

This dataset relates to the publication: https://doi.org/10.1016/j.cpc.2021.108246

Key words:
Computational fluid dynamics, Compressible Navier-Stokes equations, Sharp interface, Temporal and spatial adaptivity, HPC C++20, 3D
Technical remarks:
View and download (26,3 TB total, 4171 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1639173):
rsync rsync://m1639173@dataserv.ub.tum.de/m1639173/
Language:
en
Other rights:
Datasets/Images: Creative Commons Attribution 4.0 International (CC BY-NC-SA 4.0) https://creativecommons.org/licenses/by-nc-sa/4.0/

Software: GPLv3 License: https://choosealicense.com/licenses/gpl-3.0/

Horizon 2020:
ERC Advanced Grant 667483
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