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24 results for “elastic properties”
Data for: Deriving early hydration cement paste phase assemblage, microstructure development and elastic properties using thermodynamic simulation and multi-scale material modeling
<h2>Description</h2> <p>DATA REPOSITORY FOR</p> <p>Title: Deriving early hydration cement paste phase assemblage, microstructure development and elastic properties using thermodynamic simulation and <br> multi-scale material modeling<br>By: Eva Jägle, Jithender J. Timothy, Daniel Jansen, Alisa Machner<br>Accepted by: Cement and Concrete Research</p> <p>This dataset presents the data of the paper 'Deriving early hydration cement paste phase assemblage, microstructure development and elastic properties using thermodynamic simulation and multi-scale material modeling' submitted to and accepted by Cement and Concrete Research. The dataset follows the structure of the paper such that the calculations described therein can be reproduced.</p> <p>Data is available on three types of cement: Two ordinary Portland cements of different grinding fineness (CEM I 42.5 R und CEM I 52.5 R) and one limestone-containing blended cement (CEM II/A-LL 42.5 R). The data refer to the first 24 hours of hydration and temperature conditions of 20°C (for CEM I 42.5 R, CEM I 52.5 R, CEM II/A-LL 42.5 R) and 35°C (for CEM I 52.5 R). All data were retrieved for cement pastes with a water-to-cement ratio of 0.45.</p> <p>The dataset contains raw and processed data from quantitative X-ray diffraction, 5PL cement dissolution fitting, thermodynamic simulation with GEMS, multi-scale material modeling, ultrasonic testing and Vicat penetration tests. The data is mainly available in .xlsx files together with short descriptions in ReadMe.txt files.</p>
Dataset for "Correlation between sonic pulse velocity and flat-jack tests for the estimation of the elastic properties of unreinforced brick masonry"
<p>This repository contains data from the sonic test experimental campaign carried out in eight structures at various location in Croatia.</p> <p>The data set is structured in 3 levels of folders:</p> <p>- At first level, the 8 folders correspond to the 8 tested buildings.</p> <p>- At second level, for each building, each folder corresponds to a different test location within the building, e.g. "Data FJ1".</p> <p>- At third level, for each location, each folder corresponds to a different setup (i.e. distance and location of hammer and accelerometer), , e.g. "FJ1 1-2".</p> <p>Sonic data are presented in .txt files in three columns corresponding to the time, the hammer (emitter) and the accelerometer (receptor), respectively.</p> <p>Please cite the following related publication:</p> <p>Ortega J, Stepinac M, Lulic L, Nuñez Garcia M, Saloustros S, Aranha C, Greco F, Correlation between sonic pulse velocity and flat-jack tests for the estimation of the elastic properties of unreinforced brick masonry, under review (2022)</p>
Room temperature and elevated temperature tensile test and elastic properties data of Al-alloy EN AW-2618A after different aging times and temperatures
<p><span>The dataset contains two types of data: elastic properties (Young's and shear modulus, Poisson's ratio) between room temperature and 250 °C and a set of tensile tests at different aging times, aging temperatures, and test temperatures. </span></p>
Surrogate-modelling & machine learning dataset : finite element stress analysis of biaxial specimen with random elastic properties - 1000 samples
<p>Dataset finite element stress analysis of biaxial specimen with random elastic properties</p> <p>Unzip and execute dataset.py to visualise data samples. PyVista is needed.</p>
Surrogate-modelling & machine learning dataset : finite element stress analysis of biaxial specimen with random elastic properties - 100 samples
<p>Dataset finite element stress analysis of biaxial specimen with random elastic properties</p> <p>Unzip and execute dataset.py to visualise data samples. PyVista is needed</p>
Upscaling of elastic properties in carbonates: a modeling approach based on a multi-scale geophysical dataset
<p>Dataset for the article "Upscaling of elastic properties in carbonates: a modeling approach based on a multi-scale geophysical dataset"<br> by Bailly C., Fortin J., Adelinet M., Hamon Y.</p> <p>submitted to Journal of Geophysical Research: Solid Earth.</p> <p>Please refer to the ReadMe file for more details.</p>
To enhance CO2 saturation prediction from seismic data by joint use of attenuation and elastic properties: A machine learning approach
<p>Wang and Zhao submitted for GJI</p>
Mobility of magmas within the Earth: Insights from the elasticity and transport properties of hydrous albitic melts
<p>Results from first-principles molecular dynamics simulations of anhydrous and hydrous albitic melts.</p>
Elastic properties of fibre reinforced composites
<pre><code class="language-markdown">## Structure of the datasets The data set contains the transverse elastic properties of uni-directional composite materials with the following details. ### Datasets: D1, D2, D3 and D4 | | Dataset: D1 | Dataset: D2 | Dataset: D3 | Dataset: D4 | |----------------- |------------------------|-----------------------|------------------------|------------------------| | **vf** range | [25, 75] | [25, 75] | [10, 25] | [10, 25] | | **Ecr** range | [5, 250] | [250, 500] | [250, 500] | [5, 250] | | **X_train** shape| (80, 250, 256, 256, 1) | - | - | - | | **y_train** shape| (80, 250, 8) | - | - | - | | **X_test** shape | (40, 250, 256, 256, 1) | (20, 250, 256, 256, 1)| ( 6, 250, 256, 256, 1) | (15, 200, 256, 256, 1) | | **y_test** shape | (40, 250, 8) | (20, 250, 8) | ( 6, 250, 8) | (15, 200, 8) | Here, + vf: fibre volume fraction + Ecr: Elastic moduli contrast, the ratio of fibre elastic moduls to that of the matrix + Each of the label arrays contain 8 columns, which are + column index => label `0 => Vf`, Fibre volume fraction `1 => Em`, Matrix elastic modulus `2 => NUm`, Matrix Poisson's ratio `3 => Ef`, Fibre elastic modulus `4 => NUf`, Fibre Poisson's ratio `5 => E22/Em` `6 => E33/Em` `7 => G23/Gm` </code></pre> <p>rse elastic properties of uni-directional composite materials with the following details.</p>
In Vivo Assessment of the Elastic Properties of Women's Pelvic Floor During Pregnancy
ClinicalTrials.gov study NCT03602196. IPD Sharing: NO. Countries: 1. Publications: 1.
Effect of Pharmacological Heart Rate Reduction on Visco-elastic Properties of the Arterial Wall (BRADYVASC)
ClinicalTrials.gov study NCT02584439. IPD Sharing: Not stated. Countries: 1. Publications: 16.
Study to Investigate the Effect of Heart Rate Reduction With Ivabradine on Vascular Elastic Properties and Endothelial Function in Patients With Stable Coronary Heart Disease
ClinicalTrials.gov study NCT01768585. IPD Sharing: Not stated. Countries: 1. Publications: 7.
Data from: Changes in morphological and elastic properties of patellar tendon in athletes with unilateral patellar tendinopathy and their relationships with pain and functional disability
Background: Patellar tendinopathy (PT) is one of the most common knee disorders among athletes. Changes in morphology and elasticity of the painful tendon and how these relate to the self-perceived pain and dysfunction remain unclear. Objectives: To compare the morphology and elastic properties of patellar tendons between athlete with and without unilateral PT and to examine its association with self-perceived pain and dysfunction. Methods: In this cross-sectional study, 33 male athletes (20 healthy and 13 with unilateral PT) were enrolled. The morphology and elastic properties of the patellar tendon were assessed by the grey and elastography mode of supersonic shear imaging (SSI) technique while the intensity of pressure pain, self-perceived pain and dysfunction were quantified with a 10-lb force to the most painful site and the Victorian Institute of Sport Assessment-patella (VISA-P) questionnaire, respectively. Results: In athletes with unilateral PT, the painful tendons had higher shear elastic modulus (SEM) and larger tendon than the non-painful side (p<0.05) or the dominant side of the healthy athletes (p<0.05). Significant correlations were found between tendon SEM ratio (SEM of painful over non-painful tendon) and the intensity of pressure pain (rho = 0.62; p = 0.024), VISA-P scores (rho = −0.61; p = 0.026), and the sub-scores of the VISA-P scores on going down stairs, lunge, single leg hopping and squatting (rho ranged from −0.63 to −0.67; p<0.05). Conclusions: Athletes with unilateral PT had stiffer and larger tendon on the painful side than the non-painful side and the dominant side of healthy athletes. No significant differences on the patellar tendon morphology and elastic properties were detected between the dominant and non-dominant knees of the healthy control. The ratio of the SEM of painful to non-painful sides was associated with pain and dysfunction among athletes with unilateral PT.
A New Rock Physics Model for Predicting the Elastic Properties of Sediments Hosting Nodule and Chunk-like Natural Gas Hydrate Morphologies
<p>MATLAB codes and well logs used in the manuscript are included.</p>
Changes in Elastic Properties of Descending Thoracic Aorta After Ascending Aorta Replacement
ClinicalTrials.gov study NCT03817008. IPD Sharing: NO. Countries: 0. Publications: 1.
Data from: Changes in morphological and elastic properties of patellar tendon in athletes with unilateral patellar tendinopathy and their relationships with pain and functional disability
Open the record for dataset details and reuse information.
Data from: First-principles calculations of structural, electronic, magnetic and elastic properties of Mo2FeB2 under high pressure
The structural and electronic density of states, magnetic, and elastic properties of Mo2FeB2 under high pressure have been investigated with first principles calculations. Furthermore, the thermal dynamic properties of Mo2FeB2 were also studied with the quasiharmonic Debye model. The volume of Mo2FeB2 decreases with the increasing pressure. Using the analysis of the density of the states, atom population and Mulliken overlap population, it is observed that as the pressure increases, the B-B bonds are strengthened, and the B-Mo covalency decreases. Moreover, for all pressures, Mo2FeB2 is detected in the antiferromagnetic phase and the magnetic moments decrease with the increasing pressure. The calculated bulk modulus, shear modulus, Young's modulus, Poisson's ratio and universal anisotropy index all increase with the increasing pressure. From thermal expansion coefficient analysis, it is found that Mo2FeB2 shows good volume invariance under high pressure and temperature. The examination of the dependence of heat capacity on the temperature and pressure shows that heat capacity is more sensitive to temperature than to pressure
Reproducibility of External Anal Sphincter Elastic Properties Assessment Using Elastography During Pregnancy
ClinicalTrials.gov study NCT04350632. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Classification of Breast Masses Based on Visco-elastic Properties Using SAVE Method
ClinicalTrials.gov study NCT04841252. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of Elastic Properties of Ascending Aorta
ClinicalTrials.gov study NCT05252143. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.