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12 results for “triaxial tests”
Test set of geodesics on a triaxial ellipsoid
<p>This is a set of 500000 shortest geodesics on a triaxial ellipsoid. The ellipsoid is defined by</p> <p>$$\frac{X^2}{a^2} + \frac{Y^2}{b^2} + \frac{Z^2}{c^2} - 1 = 0,$$</p> <p>with \(a = \sqrt2\), \(b = 1\), \(c = 1/\sqrt2\) (measured in arbitrary units). (This ellipsoid was studied by A. Cayley, <em>On the geodesic lines on an ellipsoid</em>, Mem. Roy. Astron. Soc. <strong>39</strong>, 31-53, 1872.) Each line of the test set consists of 10 space-delimited numbers</p> <ul> <li>the latitude at point 1, \(\beta_1\) (\(^\circ\), exact)</li> <li>the longitude at point 1, \(\omega_1\) (\(^\circ\), exact)</li> <li>the azimuth at point 1, \(\alpha_1\) (\(^\circ\), accurate to \(10^{-18}{}^\circ\))</li> <li>the latitude at point 2, \(\beta_2\) (\(^\circ\), exact)</li> <li>the longitude at point 2, \(\omega_2\) (\(^\circ\), exact)</li> <li>the azimuth at point 2, \(\alpha_2\) (\(^\circ\), accurate to \(10^{-18}{}^\circ\))</li> <li>the geodesic distance from 1 to 2, \(s_{12}\) (units, accurate to \(10^{-20}\))</li> <li>the reduced length of the geodesic, \(m_{12}\) (units, accurate to \(10^{-20}\))</li> <li>the geodesic scale, \(M_{12}\) (accurate to \(10^{-20}\))</li> <li>the geodesic scale, \(M_{21}\) (accurate to \(10^{-20}\))</li> </ul> <p>Here \(\beta\), \(\omega\), and \(\alpha\), are the <em>ellipsoidal</em> latitude, longitude, and azimuth. For a given \((\beta, \omega)\), the Cartesian coordinates of a point are</p> <p>$$\begin{align}<br> X &= a \cos\omega<br> \frac{\sqrt{a^2 - b^2\sin^2\beta - c^2\cos^2\beta}}<br> {\sqrt{a^2 - c^2}}, \\<br> Y &= b \cos\beta \sin\omega, \\<br> Z &= c \sin\beta<br> \frac{\sqrt{a^2\sin^2\omega + b^2\cos^2\omega - c^2}}<br> {\sqrt{a^2 - c^2}}.<br>\end{align}$$</p> <p>Lines of constant \(\beta\) and \(\omega\) are orthogonal. The azimuth \(\alpha\) of a geodesic is the direction measured clockwise from North (defined as \(\beta\) increasing at constant \(\omega\)). The coordinates are singular at the four <em>umbilical</em> points \(\cos\beta = \sin\omega = 0\). The azimuth of a geodesic jumps by \(\pm\frac12\pi\) on passage through such points and the value for such points is the azimuth on <em>leaving</em> the umbilical point.</p> <p>The geodesics are computed using high-precision inverse calculations with the exact <em>integer</em> values for \((\beta_1, \omega_1)\) and \((\beta_2, \omega_1)\). Any of the other entries reported as an integer is also exact.</p> <p>For most pairs of points, there is a unique shortest geodesic. However</p> <ul> <li>for opposite umbilical points, \(\alpha_1\) and \(\alpha_2\) can take on arbitrary values provided that the ratio \(\tan\alpha_1/\tan\alpha_2\) is maintained;</li> <li>if \(\beta_1 + \beta_2 = 0\) and if \(\cos\alpha_1\) and \(\cos\alpha_2\) have opposite signs, then there is another shortest geodesic with azimuths \(\pi - \alpha_1\) and \(\pi - \alpha_2\).</li> </ul> <p>For a particular \((\beta_1, \omega_1)\) and \((\beta_2, \omega_2)\), additional geodesics of the same length can be trivially generated by swapping the points or by reflecting them in any of the coordinate planes. A non-trivial symmetry is given by swapping <em>just</em> the longitude coordinates; this also results in a geodesic of the same length. The data set has had any such redundant geodesics removed.</p> <p>The data set is sorted according to whether either point</p> <ul> <li>is an umbilical point</li> <li>lies on the middle principal ellipse, with \(\sin\omega = 0\)</li> <li>lies on the middle principal ellipse, with \(\cos\beta = 0\)</li> <li>lies on the major principal ellipse, \(Z = 0\)</li> <li>lies on the minor principal ellipse, \(X = 0\)</li> <li>is near an umbilical point</li> <li>is general (all other points)</li> </ul> <p>Approximately 85% of the entries are with two general points. If only a small set of random test cases is needed, select a random subset with, e.g.,</p> <p> <code>shuf Geod3Test.txt | head -1000 > Geod3Test-samp.txt</code></p> <p> </p>
Dataset from triaxial cyclic tests performed by EDF/TEGG
<p>Data from triaxial cyclic tests performed at EDF/TEGG in the framework of ANR/ISOLATE project.</p> <p>Results published at JNGG2020: https://www.geotechnique.org/jngg2020/files/287939.pdf</p>
Long-term triaxial test of Passwang Marl, Z-orientation
<p>This data set describes a long-term (> 3 yr) rock mechanics experiment of Psswang Marl using a triaxial apparatus. The sample is consolidated and fully saturated. The bedding orientation is 45° to the main axis of the sample (Z-orientation). Confining stress, axial stress and pore pressure are changed multiple times in order to investigate dilatancy, pressure diffusion coefficients and Young's modulus.</p>
Dataset for triaxial monotonic and cyclic laboratory tests on sand HN31 with fines performed at Université Gustave Eiffel/GERS/SRO
<p>Data from monotonic and triaxial tests obtained during the thesis :</p> <p>Gobbi, S. Caractérisation de paramètres mécaniques d'un sol saturé à partir d'essais de laboratoire et calibration de lois de comportement sous charge dynamique par modélisation numérique, PhD thesis, Université Gustave Eiffel, 2020</p> <p>https://theses.hal.science/tel-03268600</p> <p> </p>
Data Accompanying "Fracturing process of concrete under uniaxial and triaxial compression: insights from in-situ x-ray mechanical tests"
<p>These are the datasets analysed in "Fracturing process of concrete under uniaxial and triaxial compression: insights from <em>in-situ</em> x-ray mechanical tests" by Stamati <em>et. al.</em> (submitted on June 2020 in Cement and Concrete Research)</p> <p>The datasets contain the reconstructed x-ray 3D images of selected tests and the corresponding DVC analysis.</p> <p>Note that details regarding the DVC analysis can be found in the paper.</p> <ul> <li>Each folder contains a separate test; uniaxial compression ("<em>C-02"</em>) and triaxial compression at 5MPa ("<em>TX5-01"</em>), 10MPa ("T<em>X10-01</em>") and 15MPa ("<em>TX15-01</em>") confining pressures.</li> <li>For each test, folder 01 contains the first scan, where 01 is the reference state for the DVC analyis. Folder 01 also contains the image of the labelled largest aggregates used for the discrete DVC. Folrders 02-XX contain the scans at intermediate loading steps and the corresponding DVC analysis; "<em>reg</em>" contains the registration result in downscaled 2-binning images. "<em>ddic</em>" contains the discrete DVC computation. "<em>ldic</em>" contains the local DVC computation, before and after the merge and filtering of the grid and discrete DVC fields. "<em>strains</em>" contains the strain fields coming from the corrected merged DVC field.</li> <li>Folder "<em>stressStrain</em>" contains the stress-strain curves measured during the tests after subtracting the displacement corresponding to the loading system.</li> <li>Folder "<em>doubleScanUniaxial</em>" contains the two reconstructed images of the "repeated scan" of the uniaxial tests, from which the DVC measurement uncertainties were evaluated.</li> </ul>
Triaxial test of Bunter Sandstone
<p>This data set contains the data of a triaxial test of Bunter Sandstone. The sandstone was consolidated and fully saturated. The aim was to measure dilatancy and three circumferential extensiometer chains were installed for this purpose.</p>
NorSand4AI: A Comprehensive Triaxial Test Simulation Database for NorSand Constitutive Model Materials
<p>Dataset of the homonymous paper: a first-of-its-kind database that addresses the size and complexity issues of creating synthetic datasets for nonlinear constitutive modeling of soils by simulating both drained and undrained triaxial tests. Two datasets are provided: the first one considers a nested Latin Hypercube Sampling of input parameters encompassing 2000 soil types, each subjected to 40 initial test configurations, resulting in a total of 160000 triaxial test results (NorSandTXL_H5.zip). The second one considers nested quasi-Monte Carlos sampling techniques (Sobol and Halton) of input parameters encompassing 2048 soil types, each subjected to 42 initial test configurations, resulting in a total of 172032 triaxial test results (NorSand_2048_42_Drained.zip and NorSand_2048_42_Undrained.zip). Each simulation dataset comprises a 4000 by 10 matrix that can be used for general multivariate forecasting benchmarks, in addition to direct geotechnical and soil science applications.</p>
Long-term triaxial testing of Opalinus Clay, P-orientation, sandy facies
<p>This data set describes a long-term (> 4 yr) rock mechanics experiment of Opalinus Clay (sandy facies) using a triaxial apparatus. The sample is consolidated and fully saturated. The bedding orientation is parallel to the main axis of the sample (P-orientation). Confining stress, axial stress and pore pressure are changed multiple times in order to investigate dilatancy, pressure diffusion coefficients and Young's modulus.</p>
Dataset for triaxial monotonic and cyclic laboratory tests on sand HN31 with fines performed at Ecole des Ponts ParisTech/Navier laboratory
<p>Data from monotonic and triaxial tests obtained during the thesis :</p> <p>ZHU, Zhehao. Influence of fine particles on the liquefaction properties of a reference sand. Application to the seismic response of a sand column on a vibrating table, PhD thesis, Ecole des Ponts Paristech, 2022</p> <p>https://pastel.hal.science/tel-03968096</p>
Dataset for triaxial cyclic laboratory tests of cemented sand HN31
<p>Data from triaxial cyclic test with cemented samples performed by Université Gustave Eiffel and Solétanche Bachy</p>
Distributed fiber optics measurements of rock deformation and failure in triaxial tests
<p>We have uploaded two versions of the data. The first version is the raw data from the optical interrogator in the original format. The second version is the processed data. In addition, we have included in each sub-folder a "Readme.txt" file that gives the additional information, requested by the reviewer, on how to process the raw data.</p>
txt files of the raw triaxial test resutls and MATLAB mapping files
<ul> <li>README Excel file</li> <li>Txt files of the Raw data</li> <li>Matlab files for the void ratio mapping</li> </ul>
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