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146 results for “Numerical modelling”
Dataset for Numerical constraints on the one-stage and two-stage Greater India collision models
<p>This is the dataset for the article Numerical constraints on the one-stage and two-stage Greater India collision models. It is mainly about the experimental data and visualization from Figure 3 to Figure 8.</p>
Data from: A multifactor coupling prediction model for the failure depth of floor rocks in fully mechanized caving mining: a numerical and in situ study
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Data from: Sensory processing by motoneurons: a numerical model for low-level flight control in flies
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Data from: The effect of seepage and weak interlayer on the failure modes of surrounding rock - model tests and numerical analysis
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Numerical simulations of the geospace response to a perfect interplanetary coronal mass ejection: Model Data
<p>This is the model output data discussed in the article, "Numerical simulations of the geospace response to a perfect interplanetary coronal mass ejection." See README.txt for information on dataset contents, formats, and suggested software libraries.</p> <p> </p>
Pore-scale electrical numerical simulation and new saturation model of fractured tight sandstone
<p>Fractured tight sandstone reservoirs are characterized by low matrix porosity, low matrix permeability, and strong heterogeneity. Fractures developed in rocks improves reservoir permeability, but it brings new challenges to formation evaluation from log interpretation. The conventional Archie’s equation is not applicable. Meanwhile, the fragility of fractured rocks limits the application of petrophysical experiment method which is expensive and time-consuming. Recently, the development of digital rock technology provides a new means for studying fractured rocks. In this work, a set of fractured digital rocks with different fracture openings and dips are constructed to study electrical properties of fractured rocks using finite element method (FEM). The formation factor <em>F</em> is calculated by the resistivity simulation results of digital rocks with different porosity and an equation of cementation exponent versus fracture opening and dip is established. Then the resistivity of partially saturated rocks is simulated by FEM and the resistivity index is calculated to build the cross-plot of resistivity index (<em>RI</em>) and water saturation (<em>S</em><sub>w</sub>). The relationship between the <em>RI</em> and <em>S</em><sub>w</sub> for fractured rocks is exponential. Subsequently, a new saturation model for fractured tight rock reservoirs is proposed. Taken the deep Cretaceous fractured tight sandstone gas reservoir in Kuqa as an example, the model is proved more effective and correct. This study is of great significance in the theoretical analysis and saturation evaluation of fractured tight rock reservoirs.</p>
Configurations and scripts to reproduce the numerical simulations of "A two-fluid model for immersed granular avalanches with dilatancy effects" article
<p>This directory contains the main data to reproduce the results presented in the article "A two-fluid model for immersed granular avalanches with dilatancy effects" by Eduard Puig Montellà, Julien Chauchat, Bruno Chareyre, Cyrille Bonamy and Tian-Jian Hsu.<br> <br> The numerical results and experimental data extracted from Pailha et ad (2008) can be found inside "NumericalData" and "ExperimentalData" folders respectively. The script "PressureVelocityPlot.py" displays the evolution of the surface particle velocity and the excess of pore pressure with time for cases ranging from loose to dense granular avalanches. </p> <p>The input files needed to reproduce a dense granular avalanche (phi=0.592) in 1D and 2D are found in the following folders: "1D_DenseCase" and "2D_DenseCase". To accelerate the simulation, the files are given after 200 seconds of sedimentation in order to reach an equilibrium state. Please read the corresponding README.txt files to launch a 1D and/or a 2D simulation. Additionally, python scripts in each configuration are provided to evaluate the evolution of the main parameters during the avalanche. </p>
The role of idealized storms in sand wave formation: A numerical modeling study
<p>The typical Delft3D cases for "The role of idealized storms in sand wave formation: A numerical modeling study".</p>
Projection matrices for numerical examples of "An adaptive model order reduction technique for parameter-dependent modular structures"
<p>This data set contains supplementary data for the paper:<br> 'An adaptive model order reduction technique for parameter-dependent modular structures'</p> <p>The Authors are:<br> Stephan Ritzert (a), Domen Macek (a), Jaan-Willen Simon (b), Stefanie Reese (a)</p> <p>Affiliations:<br> (a) Institute of Applied Mechanics, RWTH Aachen University, Mies-van-der-Rohe-Str. 1, 52074 Aachen, Germany<br> (b) Civil Engineering Mechanics, University of Wuppertal, Pauluskirchstr. 7, 42285 Wuppertal, Germany</p> <p>Contact: stephan.ritzert@ifam.rwth-aachen.de</p> <p>### The Dataset ###</p> <p>The dataset contains all mesh files and all projection matrices used for the numerical examples 2,3, and 4.</p> <p>Example 2: Naming of projections matrices<br> -Square: The projection matrices depend on the parameter alpha: {0,5,10,...,90}<br> The name of the projection matrix is 'PsiTransIso' + alpha + '.txt'</p> <p> -Rectangle: The projection matrices depend on the parameter alpha: {0,5,10,...,180}, and the length lx: {600,700,800,900,1000,1100,1200}<br> The name of the projection matrix is 'PsiTransIso' + alpha + '-' + lx + '.txt'</p> <p>Example 3: Naming of projections matrices<br> -Square: The projection matrices depend on the parameter alpha: {0,5,10,...,90}<br> The name of the projection matrix is 'PsiTransIso' + alpha + '.txt'</p> <p> -Rectangle: The projection matrices depend on the parameter alpha: {0,5,10,...,180}, and the length lx: {600,700,800,900,1000,1100,1200}<br> The name of the projection matrix is 'PsiTransIso' + alpha + '-' + lx + '.txt'</p> <p><br> Example 4: Naming of projections matrices<br> -curved: The projection matrices depend on the parameter phi: {20,30,...,90}<br> The name of the projection matrix is 'PsiIso' + phi + '.txt'</p> <p> -rectangle: The projection matrices depend on the parameter lx: {600,800,1000,1200}<br> The name of the projection matrix is 'PsiIso' + lx + '.txt'</p> <p> </p> <p> </p>
Data of "An enhanced lattice beam element model for the numerical simulation of rate-dependent self-healing in cementitious materials"
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Database obtained through numerical modelling comprising short-term vertical displacements around a shaft excavated in London Clay
<p>The database was generated via finite element axisymmetric analysis of the excavation of a shaft in London Clay. It includes vertical displacements troughs around the shaft (from 0.1m to a radial distance equal to 2xShaft depth) extracted at depth intervals of 0.1xShaft depth, from the surface to the shaft depth. </p>
Numerical Modeling for Choked Flow in Old Faithful Geyser
<div>These ANSYS archive files were made to investigate the choked flow in Old Faithful Geyser. Here, Peng and Robinson Equation of State and Tait Equation of State are used as an equation of state for gas phase of H2O and CO2, and liquid phase of H2O, respectively. Also, Lee model was used to describe the phase transition between liquid and gas phase of H2O. The archive files contain the geometry of Old Faithful Geyser obtained from Hutchinson et al., 1997, mesh and numerical settings properties for calculating. Note that the archive files were created with ANSYS 2020 R1 version. </div> <div> <div> <h2>Files</h2> </div> </div>
Numerical model setup for studying the energetics of the ocean current under sea ice
<p>This dataset contains model code and input files for studying the energetics of the ocean current under sea ice. The model used in this study is the Massachusetts Institute of Technology general circulation model (MITgcm). Original source code is the MITgcm_c66m.</p> <p>code: contains code configuration for Exp-PD, Exp-D, Exp-P, and Exp-PD100.</p> <p>code_F: contains code configuration for Exp-PF.</p> <p>input_PD: contains parameter settings and input files for the base experiment Exp-PD (initial perturbation + ice-ocean drag).</p> <p>input_D: contains parameter settings and input files for the sensitivity experiment Exp-D (no initial perturbation).</p> <p>input_P: contains parameter settings and input files for the sensitivity experiment Exp-P (no ice-ocean drag).</p> <p>input_PD100: contains parameter settings and input files for the sensitivity experiment Exp-PD100 (a restart of Exp-P from day 100 and is run for 100 days with the ice-ocean drag).</p> <p>input_F: contains parameter settings and input files for the sensitivity experiment Exp-PF (no sea ice model; Forcings include surface stress, shortwave radiation, and heat and freshwater fluxes diagnosed from Exp-PD).</p>
Numerical modeling results for Two episodes of plate tectonics on Earth
<p>The compressed file 'Viscosity_profile.zip' contains the 9 viscosity profiles (test_eta00*) of the reference model (Figure 1). </p><p>Opensource software StagLab (www.fabiocrameri.ch/software) is required to open the test_eta00* files. </p><p>The compressed file 'time_evolution.zip' contains the raw data for Fig2 and FigS1-S4 as well as the drawing scripts, where '*.ipynb' is the ipython drawing script and '*-l.dat ' is lithospheric thickness, '*-pm.dat' is plateness and mobility, and '*-th.dat' is upper mantle temperature and surface heatflux. '*-v.dat' is surface velocity.</p>
Thrombin Generation Numerical Models Validation in Haemophilic Case
ClinicalTrials.gov study NCT02300519. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Establish Finite Element Mesh of the Numerical Models of the Thoracic Aorta
ClinicalTrials.gov study NCT00155480. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Diagnosis of Respiratory Disorders by the Numerical Modeling.
ClinicalTrials.gov study NCT06670261. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
CLPX NCAR Data Analysis and Numerical Modeling, Version 1
This data set consists of three-dimensional meteorological analyses for the entire cold season 2002-2003 for the three CLPX Meteorological Study Areas (MSAs) in northern Colorado (North Park, Fraser and Rabbit Ears) using high-resolution (500 m horizontal grid spacing).
On the deep carbon cycle in numerical modelling of mantle convection: Implications for the long-term climate evolution
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Impact of Estuarine Dams on the Estuarine Parameter Space and Sediment Flux Decomposition: Idealized Numerical Modeling Study.
<p>Input data to run the model; output data and scripts used to generate figures.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.