11 to 20 of 30 Results
Mar 13, 2023 - CHOLife_TUHH_LSP_tracking
Hofmann, Sebastian; Rautenbach, Ryan, 2023, "Code for: Experimental Investigations of the Flow-Following Capabilities and Hydrodynamic Characteristics of Lagrangian Sensor Particles With Respect to Their Centre of Mass", https://doi.org/10.18419/darus-3314, DaRUS, V1
Data for 2D Lagrangian Particle tracking and evaluation for their hydrodynamic characteristics ## Abstract This dataset entails PYTHON code for fluid mechanic evaluation of Lagrangian Particles with the "Consensus-Based tracking with Selective Rejection of Tracklets" (CSRT) algor... |
Alkämper, Maria; Magiera, Jim M., 2022, "Interface Preserving Moving Mesh (Code)", https://doi.org/10.18419/darus-1671, DaRUS, V2
Open source implementation in C++ for an interface preserving moving mesh in 2d and 3d using CGAL Delaunay triangulations. The time-dependent computational mesh allows for large point deformations while preserving a lower dimensional interface surface. See README.md for more info... |
Feb 13, 2023 - C04: Pore-scale and REV-scale approaches to biological and chemical pore-space alteration in porous media
Keim, Leon; Class, Holger; Schirmer, Larissa; Strauch, Bettina; Wendel, Kai; Zimmer, Martin, 2023, "Code for: Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond With Aqueous Concentrations in a Stagnant Water Column", https://doi.org/10.18419/darus-3276, DaRUS, V1
This dataset contains the DuMux code for the simulations in https://doi.org/10.3390/geosciences13020051 For the detailed list of software used, please have a look at the file install_class2023.sh. To run the simulations at your own computer, please conduct the following steps: In... |
Feb 2, 2023 - SusI Final Workshop
Gläser, Dennis; Seeland, Anett; Schulze, Katharina; Burbulla, Samuel, 2023, "Verification benchmarks for single-phase flow in three-dimensional fractured porous media: DuMuX source code", https://doi.org/10.18419/darus-3228, DaRUS, V1
This dataset contains the source code for simulating the benchmark cases of Berre et al. (2021) with the open-source simulator DuMuX. The benchmarks focus on flow and transport through fractured porous media, considering fracture networks of varying complexity. The code in this d... |
Jan 26, 2023 - DuMux
Kelm, Mathis; Ackermann, Sina; Buntic, Ivan; Coltman, Edward; Flemisch, Bernd; Gläser, Dennis; Grüninger, Christoph; Heck, Katharina; Hommel, Johannes; Keim, Leon; Kiemle, Stefanie; Koch, Timo; Lipp, Melanie; Schneider, Martin; Schollenberger, Theresa; Stadler, Leopold; Utz, Martin; Veyskarami, Maziar; Wang, Yue; Wendel, Kai; Werner, David; Wu, Hanchuan, 2023, "DuMux 3.6.0", https://doi.org/10.18419/darus-3247, DaRUS, V1
Release 3.6.0 of DuMux, DUNE for Multi-{Phase, Component, Scale, Physics, ...} flow and transport in porous media. DuMux is a free and open-source simulator for flow and transport processes in and around porous media. It is based on the Distributed and Unified Numerics Environmen... |
Schließus, Julian; Gagnon, Louis, 2022, "Data for: Create a Fluid-Structure Simulation Framework for Cycloidal Rotors", https://doi.org/10.18419/darus-2232, DaRUS, V2
OpenFOAM simulation case files and results accompanying the article having the same title are included. The pressure and velocity fields could be visualized by using Paraview. The cases are described in the Bachelor Thesis referenced under Related Publication. For details how to... |
Oct 28, 2022 - B03: Heterogeneous multi-scale methods for two-phase flow in dynamically fracturing porous media
Burbulla, Samuel; Hörl, Maximilian; Rohde, Christian, 2022, "Source Code for: Flow in Porous Media with Fractures of Varying Aperture", https://doi.org/10.18419/darus-3012, DaRUS, V1
Python source code to replicate the results in [S. Burbulla, M. Hörl, and C. Rohde (2022). "Flow in Porous Media with Fractures of Varying Aperture." Submitted for publication, https://doi.org/10.48550/arXiv.2207.09301]. The contained Python package "mmdgpy" is an implementation... |
Oct 26, 2022 - Projects without PN Affiliation
Davis, Kyle; Schulte, Miriam, 2022, "Replication Data for: Geothermal-ML - predicting thermal plume from groundwater heat pumps", https://doi.org/10.18419/darus-3184, DaRUS, V1
This dataset provides all python3 code necessary to train convolutional neural networks built with pyTorch, as well as the data to train the networks. A README file is provided with instructions for accessing the training data, viewing the alread computed models, and all software... |
Oct 26, 2022 - Projects without PN Affiliation
Davis, Kyle; Schulte, Miriam, 2022, "COM-4 model to replicate simulation results for the GEO.KW project", https://doi.org/10.18419/darus-3185, DaRUS, V1
This data repository contains the COM-4 model for the GEO.KW project. The dataset contains the PFLOTRAN and urbs simulation setup, spack build environment and spack build mirror to replicate the software build environment. A README file is provided, explaining the spack building... |
Oct 26, 2022 - Projects without PN Affiliation
Davis, Kyle; Schulte, Miriam, 2022, "REG-30 model to replicate simulation results for the GEO.KW project", https://doi.org/10.18419/darus-3195, DaRUS, V1
This data repository contains the REG-30 model for the GEO.KW project. The dataset contains the PFLOTRAN and urbs software and simulation setup. Instructions for building the spack environment and running the simulation are provided in the README. |
