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2037 research outputs found
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Replication Data for: Structural and acoustic behavior of a timber slab with wooden tuned mass dampers
No full textThis dataset contains the data of literature as well as the data of the experimental modal analysis of the scaled timber plate without and with tuned mass damper (TMD) that is described in the related publication. The dataset contains frequency response functions, quantified by the mobility Y. It is used to determine the acoustic transmission behavior of the system described in the related publication by applying a force to the model and measuring the resulting velocity
COLridor - Responsive Wood Insect Hotels
No full textThe dataset is releasing fabrication data of two prototypes produced in Prague - TreeHugger CZ and Nicosia - TreeHugger CY. These are responsive wood insect hotels produced in 2017 and 18, respectively. The data were adapted for Rhino 8. TreeHugger CY also involves instructions.
The codesign process with stakeholders from TreeHugger CZ was registered in gigamap. The dataset also integrates the ecological check from 2022 and the Seedbombing selection from 2017.
Further information about the project can be found on the related blog post.</p
Raw Simulation Datasets for Extending Heat Plumes
No full textThese data sets serve as training and testing data for modelling the extension of temperature field emanating from one groundwater heat pump. There are simulated with Pflotran and saved in h5 format.
The data set for training is called "dataset_medium_k_3e-10_1000dp".
It contains 999 simulation runs, each simulated until a near steady state is reached. Each data point measures 320 m x 6400 m with 64 x 1280 cells. The varying parameters of the data set are pressure and permeability. Both are constant within the domain, but vary across the data set.
A longer data set for testing is called "dataset_long_k_3e-10_7dp". It contains only 7 simulation runs with a larger domain of 320 m x 10.240 m with 64 x 2048 cells.
A third data set, with varying permeability within the domain, is called "dataset_medium_100dp_vary_perm". It contains 100 simulation runs. Each data point measures 320 m x 6400 m with 64 x 1280 cells.
Other parameters that define the data set, such as porosity, are chosen to be as close as possible to reality and defined in the simulation input files "inputs/pflotran.in".
Source: "Die hydraulischen Grundwasserverhältnisse des quartären und des oberflächennahen tertiären Grundwasserleiters im Großraum München", Geologica Bavarica Volume 122.
Generated with scripts from https://github.com/JuliaPelzer/Phd_simulation_groundtruth (commit a3777510c) with arguments given in inputs/args.yaml.</p
Database for: Documenting Research in Simulation Science to Enhance Understanding for Reusability
No full textReplication Data for an analysis of research articles from computational mechanics, all using the software Pasimodo https://www.itm.uni-stuttgart.de/en/software/pasimodo/
Categories for analysing the articles:
To understand the context of the citation, we classified the citations into referring and reuse. Where referring is meant to be, when a citation is used in a document to refer to another article, but the content of that article is not used to contribute or support the work at hand. The term reuse refers to the use of data, concepts, or theories previously established by others to enhance, sustain, or build upon for the own work. It can also mean that the referenced article is used to set boundaries or differentiate the current work from that of the cited article. To gain a more profound understanding of these purposes of reuse of other research, we defined a further subdivision of the term reuse: adjustment, application, assumption and comparison. In this way, adjustment refers to an existing concept, combined with something new to refer to the broader concept or idea, while application and assumption focus more on details. The term application employs when the reference was used for an existing concept that was incorporated into the work itself in the form of formulas, models, theories, or parameters. Unlike assumption, where an existing concept was referenced, which was incorporated into the model without formulas. Comparison is used for an existing concept to compare or validate its results, methods, or assumptions.
Overview_Articles_Research_Cases.csv contains the metadata about the analysed and a key to identify the articles.
Evaluation_of_Articles_Research_Cases.csv contains further information about the scope of every article.
Reuse_.csv contains the detailed analysis of the article (see method).
Comparison_of_Articles_Research_Cases.csv includes data analysis across all Reuse_.csv files.
in Reuse_in_Articles_Research_Cases.xlsx contains all files above
Timber Column Slab Solver
No full textThis dataset contains an agent-based exploration of the design space for modular slab and column systems. The primary objective is to equip designers with the ability to pinpoint structural configurations that adhere to Serviceability Limit State (SLS) deflection criteria from the beginning of the design process. The methods represent an innovative design methodology aimed at discovering configurations that minimize environmental impact through strategic column-slab positioning and dimensioning, all while satisfying SLS deflection standards. To facilitate this approach, a guidance-based real-time Finite Element Analysis (FEA) feedback design tool has been developed, allowing for the empirical validation of the proposed method.
The database contains the source code for the ICL plugin, built on top of the ABxM Framework. By opening the ICL.sln solution in the Visual Studio IDE, both the ICL.Core and ICL.GH projects can be compiled to generate a grasshopper plugin. The ICL plugin can then be used in conjunction with the ABxM canonical example files to create agents, give them behaviours, combine them into an agent system, assign it an environment, and finally run the simulation using the ICL Solver. Example files are provided in the “data” folder
Replication Data for: Visualization of Finite-Time Separation in Multiphase Flow
No full textCollision of a droplet chain of a 50% water-glycerol solution colliding with a continuous jet of silicon oil M5, which is a combination of immiscible liquids. The collision process leads to the separation of compound droplets, i.e., the droplets are encapsulated by the jet's liquid. The Cartesian simulation grid originally had a size of 2048 x 1024 x 256 cells covering a domain of 0.704 cm x 0.352 cm x 0.088 cm. The dataset consists of 157 output time steps covering a time span of 1.872 ms. Only half of the jet and droplets were simulated with a mirror boundary condition at the z=0 plane. We reduced the size of the here published data by converting all double-precision floating-point values to single-precision and cropping the grid to regions containing fluid. This results in a grid size of 2048 x 768 x 128 cells. Finally, the data is stored in the VTK XML file format utilizing the built-in zlib compression.
The dataset is stored as a rectilinear grid and contains the following fields:
f3-function[-]: volume fractions of the f3-field ("droplets")
vof-function[-]: volume fractions of the f-field ("jet")
n_c_3ph[1]: PLIC normals for the f-field in three-phase cells
velocity[cm/s]: velocity-field
In addition, two spatially downsampled variants of the dataset are attached. The 'ds1' directory is a downsampled variant where every eight cells were averaged to a single cell. The 'ds2' directory is downsampled the same way using the 'ds1' data.
This simulation is a variant of the simulation initially presented in [1] using a slightly larger domain and was run on the Hawk supercomputer specifically for our paper. The specific method used in the simulation is presented in [2] and is implemented in FS3D [3].
References:
[1] Potyka et al.: Towards DNS of Droplet-Jet Collisions of Immiscible Liquids with FS3D, https://doi.org/10.1007/978-3-031-46870-4_14.
[2] Potyka and Schulte: A volume of fluid method for three dimensional direct numerical simulations of immiscible droplet collisions, https://doi.org/10.1016/j.ijmultiphaseflow.2023.104654.
[3] Eisenschmidt et al., Direct Numerical Simulations for Multiphase Flows: An Overview of the Multiphase Code FS3D, https://doi.org/10.1016/j.amc.2015.05.095.
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Research Data: "APL@voro—interactive visualization and analysis of cell membrane simulations"
No full textHere, we summarise available data and source code regarding the publication "APL@voro—interactive visualization and analysis of cell membrane simulations".
Abstract
Molecular dynamics (MD) simulations of cell membranes allow for a better understanding of complex processes such as changing membrane dynamics, lipid rafts and the incorporation/passing of macromolecules into/through membranes. To explore and understand cell membrane compositions, dynamics and processes, visual analytics can help to interpret MD simulation data. APL@Voro is a software for the interactive visualization and analysis of cell membrane simulations. Here, we present the new APL@Voro, which has been continuously developed since its initial release in 2013. We discuss newly implemented algorithms, methodologies and features, such as the interactive comparison of related simulations and methods to assign lipids to either the upper or lower leaflet.
The software is available open-source at: http://aplvoro.com/.
Additional information regarding this dataset can be found in the README.md
Supplemental Material for the Paper: Is it Part of Me? Exploring Experiences of Inclusive Avatar Use For Visible and Invisible Disabilities in Social VR
No full textSupplemental Material for the paper titled: " Is it Part of Me? Exploring Experiences of Inclusive Avatar Use For Visible and Invisible Disabilities in Social VR" accepted for presentation at the ASSETS'24 conference.
The structure of the folder is as following:
.
└── avatars
|── base avatars # base avatars generated with ReadyPlayerMe
|── inclusive avatars # base avatars combined with disability signifiers
|── scripts # scripts to generate avatars and instructions
└── data
|── figure data # figure data for the correlation matrix and the CI Plots for additional accessibility
└── questionnaires
|── recruitment questions # questions asked in the recruitment phase
|── study questions # questions asked during the diary study period
|── concluding questions # questions after the diary study period
|── interview questions # interview protocol
└── README.md # this file
</code
Scripts and data for "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining"
No full textSimulations and data analysis scripts for the publication "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining".
Within gromacs-inputs, two types of GROMACS simulation scripts are provided: all-atom and united-atoms. In both cases, the system is a liquid propane bulk system.
See the README file for details and instructions. In addition, Python scripts for reconstructing united-atom trajectories into all-atom are provided within trajectory-conversion
Models and Prepared Datasets for Modeling Heat Plumes of Heat Pumps with varying Flow Directions
No full textPrepared datasets and models for modeling orientational variation in heat plume prediction in groundwater.
Models were trained with 1HP NN equivariance.
File name explanation:
4d
The (used) dataset encompasses only cardinal flow directions.
rd
The (used) dataset encompasses random flow directions in the 2D plane.
1000dp
The (used) dataset consists of 1000 data points.
100dp
The (used) dataset consists of 100 data points.
pksi
The input data fields: liquid pressure, permeability, position of the heat pump, and normalized distance to the heat pump.
BaselineCNN
The model is trained without any modification to architecture/training procedure.
DataAugmentation
The model is trained using data augmentation where rotated variations of the original data were added to the training data.
OrientedBoxes
For this model, during both training and inference, the input data is aligned to a chosen orientation.
ECNN
The model uses the Equivariant Convolutional Neural Network (ECNN) architecture.
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