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Supplementary material for "A Partitioned Finite Element Method for power-preserving discretization of open systems of conservation laws"
<p>This archive contains supplementary material for the paper "A Partitioned Finite Element Method for power-preserving discretization of open systems of conservation laws", containing the source codes for the numerial results presented in the paper. An arXiv pre-print version of the paper is available <a href="https://arxiv.org/abs/1906.05965">here</a>.</p> <p>The following codes are provided:</p> <ul> <li> <p><code>codes/simulation1D_small.jl</code>: small amplitudes (linear) 1D simulation</p> </li> <li> <p><code>codes/simulation1D_large.jl</code>: large amplitudes (nonlinear) 1D simulation</p> </li> <li> <p><code>codes/simulation1D_analytical_gradient</code>: large amplitudes 1D simulation, but using an analytical nonlinear Hamiltonian gradient expression</p> </li> <li> <p><code>codes/simulation2D.jl</code>: large amplitudes (nonlinear) 2D simulation</p> </li> <li> <p><code>codes/convergence1D.jl</code>: convergence analysis of the 1D linear case</p> </li> <li> <p><code>codes/convergence2D.m</code>: convergence analysis of the 2D linear case</p> </li> </ul> <p>A GitHub with the codes and a few instructions on usage is available <a href="http://github.com/flavioluiz/PFEM-article-supplementary-material">here</a>.</p> <p><strong>Acknowledgements</strong></p> <p>This work has been performed in the frame of the Collaborative Research DFG and ANR project INFIDHEM, entitled "Interconnected of Infinite-Dimensional systems for Heterogeneous Media", nº ANR-16-CE92-0028. Further information is available <a href="http://websites.isae-supaero.fr/infidhem/the-project">here</a>.</p>
Data and plotting scripts used in "High level implementation of geometric multigrid solvers for finite element problems: applications in atmospheric modelling"
<p>Raw performance data and plotting scripts used to generate the figures in the paper "High level implementation of geometric multigrid solvers for finite element problems: applications in atmospheric modelling"</p>
Data and plotting scripts used in "High level implementation of geometric multigrid solvers for finite element problems: applications in atmospheric modelling"
<p>Raw performance data and plotting scripts used to generate the figures in the paper "High level implementation of geometric multigrid solvers for finite element problems: applications in atmospheric modelling"</p> <p>A previous version of this dataset (corresponding to an earlier revision of the paper) is available as https://doi.org/10.5281/zenodo.50533.</p>
Animations of vibration modes obtained from finite element simulations performed on the skull of a juvenile gray whale
<p>The tympanoperiotic complex (TPC) plays a crucial role in whale hearing. It is a functional unit composed of three bony structures: the periotic (firmly embedded in the skull), the tympanic bulla (suspended from the skull on flexible suspensory pedicles), and the ossicular chain that connects the stapes footplate closing the oval window in the periotic with the tympanic [Mead 2009]. Hearing of mysticetes is ostensibly facilitated by the same mechanism as in most mammals: the ossicular chain is set in motion, and the stapes footplate consequently pushes on the cochlear fluid [Cranford 2018]. The ossicular chain connects the periotic bone, which houses the inner ear, with the bulla. Therefore, the most plausible mechanism for setting the ossicles in motion is a vibration of the bulla relative to the periotic bone. A juvenile gray whale head (LACM 97758) was acquired from the Natural History Museum of Los Angeles County. The specimen had been collected and transferred to a freezer soon after death, thereby preserving its fresh condition. The specimen underwent X-ray computed tomography (CT) scanning in two phases, first intact with all tissues and subsequently after removal of soft tissues superficial to the skull, as described by Cranford [in preparation].</p>
APPENDIX 3 in Finite element analysis of the proximal phalanx of the thumb in Hominoidea during simulated stone tool use
<p>APPENDIX 3. — Mesh-weighted arithmetic mean (<b>MWAM</b>), mesh-weighted median (<b>MWM</b>), quartiles values (<b>Q25</b>, <b>50</b>, <b>75</b> and <b>95</b>), percentage error of the arithmetic mean (<b>PEofAM</b>) and percentage error of the median (<b>PEofM</b>) for each species and loading scenario, under chimpanzee-scaled conditions.</p><table><tbody><tr><th>SPECIE</th><th>SCENARIO</th><th><b>N of Elements</b></th><th><b>MWAM</b></th><th><b>MWM</b></th><th><b>Q25</b></th><th><b>Q50</b></th><th><b>Q75</b></th><th><b>M95</b></th><th><b>PEofAM</b></th><th><b>PEofM</b></th></tr></tbody><tbody><tr><th>Chimpanzee</th><td>1</td><td>160104</td><td>8.0122</td><td>7.6599</td><td>4.2909</td><td>7.8345</td><td>11.4830</td><td>14.6530</td><td>0.0387</td><td>2.2794</td></tr><tr><th>Chimpanzee</th><td>2</td><td>160104</td><td>5.7312</td><td>5.4881</td><td>3.0880</td><td>5.6170</td><td>8.2101</td><td>10.4363</td><td>0.0341</td><td>2.3483</td></tr><tr><th>Chimpanzee</th><td>3</td><td>160104</td><td>8.0771</td><td>7.7090</td><td>4.3233</td><td>7.8865</td><td>11.5780</td><td>14.7960</td><td>0.0417</td><td>2.3024</td></tr><tr><th>Chimpanzee</th><td>4</td><td>160104</td><td>5.8607</td><td>5.5899</td><td>3.1557</td><td>5.7215</td><td>8.3844</td><td>10.7170</td><td>0.0419</td><td>2.3534</td></tr><tr><th>Modern Human</th><td>1</td><td>225743</td><td>7.5983</td><td>5.4469</td><td>3.0316</td><td>5.5620</td><td>11.3770</td><td>19.8150</td><td>0.7364</td><td>2.1135</td></tr><tr><th>Modern Human</th><td>2</td><td>225743</td><td>5.3623</td><td>3.8494</td><td>2.1389</td><td>3.9323</td><td>8.0325</td><td>13.9420</td><td>0.7334</td><td>2.1536</td></tr><tr><th>Modern Human</th><td>3</td><td>225720</td><td>7.6821</td><td>5.4907</td><td>3.0617</td><td>5.6072</td><td>11.4980</td><td>20.0690</td><td>0.7328</td><td>2.1222</td></tr><tr><th>Modern Human</th><td>4</td><td>225689</td><td>5.5209</td><td>3.9340</td><td>2.1951</td><td>4.0167</td><td>8.2813</td><td>14.4290</td><td>0.7156</td><td>2.1020</td></tr><tr><th>Neanderthal</th><td>1</td><td>240469</td><td>7.5408</td><td>5.7398</td><td>3.1415</td><td>5.8463</td><td>10.7260</td><td>19.1300</td><td>1.6003</td><td>1.8559</td></tr><tr><th>Neanderthal</th><td>2</td><td>240461</td><td>5.3229</td><td>4.0535</td><td>2.2448</td><td>4.1316</td><td>7.5691</td><td>13.4480</td><td>1.5817</td><td>1.9264</td></tr><tr><th>Neanderthal</th><td>3</td><td>240469</td><td>7.6103</td><td>5.7887</td><td>3.1663</td><td>5.8917</td><td>10.8170</td><td>19.3540</td><td>1.6076</td><td>1.7799</td></tr><tr><th>Neanderthal</th><td>4</td><td>240460</td><td>5.4615</td><td>4.1433</td><td>2.2936</td><td>4.2210</td><td>7.7516</td><td>13.9010</td><td>1.6017</td><td>1.8739</td></tr><tr><th>Gorilla</th><td>1</td><td>327267</td><td>7.5848</td><td>6.5180</td><td>4.1315</td><td>6.6614</td><td>10.0078</td><td>15.9652</td><td>0.1499</td><td>2.2001</td></tr><tr><th>Gorilla</th><td>2</td><td>327267</td><td>5.3112</td><td>4.5847</td><td>2.9071</td><td>4.6850</td><td>6.9811</td><td>11.1340</td><td>0.1473</td><td>2.1877</td></tr><tr><th>Gorilla</th><td>3</td><td>327267</td><td>7.7032</td><td>6.5956</td><td>4.1665</td><td>6.7425</td><td>10.1980</td><td>16.2770</td><td>0.1521</td><td>2.2272</td></tr><tr><th>Gorilla</th><td>4</td><td>327267</td><td>5.5459</td><td>4.7386</td><td>2.9746</td><td>4.8493</td><td>7.3571</td><td>11.7390</td><td>0.1536</td><td>2.3361</td></tr><tr><th>Orangutan</th><td>1</td><td>199857</td><td>7.9291</td><td>6.5783</td><td>4.2297</td><td>6.7471</td><td>10.3643</td><td>18.0617</td><td>0.6350</td><td>2.5660</td></tr><tr><th>Orangutan</th><td>2</td><td>199857</td><td>5.6296</td><td>4.6925</td><td>3.0326</td><td>4.8168</td><td>7.3231</td><td>12.7377</td><td>0.6308</td><td>2.6495</td></tr><tr><th>Orangutan</th><td>3</td><td>199782</td><td>8.0098</td><td>6.6472</td><td>4.2716</td><td>6.8239</td><td>10.4630</td><td>18.2554</td><td>0.6575</td><td>2.6582</td></tr><tr><th>Orangutan</th><td>4</td><td>199782</td><td>5.7884</td><td>4.8286</td><td>3.1119</td><td>4.9592</td><td>7.5206</td><td>13.1060</td><td>0.6481</td><td>2.7040</td></tr><tr><th>Gibbon</th><td>1</td><td>311442</td><td>12.1044</td><td>10.4260</td><td>6.1984</td><td>10.5940</td><td>16.2630</td><td>26.8950</td><td>0.1734</td><td>1.6114</td></tr><tr><th>Gibbon</th><td>2</td><td>311431</td><td>8.6667</td><td>7.4740</td><td>4.4483</td><td>7.5885</td><td>11.6390</td><td>19.2340</td><td>0.1762</td><td>1.5325</td></tr><tr><th>Gibbon</th><td>3</td><td>311442</td><td>12.1825</td><td>10.4940</td><td>6.2322</td><td>10.6650</td><td>16.3650</td><td>27.0820</td><td>0.1744</td><td>1.6295</td></tr><tr><th>Gibbon</th><td>4</td><td>311442</td><td>8.8241</td><td>7.6109</td><td>4.5179</td><td>7.7380</td><td>11.8330</td><td>19.6238</td><td>0.1753</td><td>1.6704</td></tr></tbody></table>
APPENDIX 2 in Finite element analysis of the proximal phalanx of the thumb in Hominoidea during simulated stone tool use
<p>APPENDIX 2. — Number of elements (N elements), mesh-weighted arithmetic mean (<b>MWAM</b>), mesh-weighted median (<b>MWM</b>), quartiles values (<b>Q25</b>, <b>50</b>, <b>75</b> and <b>95</b>), percentage error of the arithmetic mean (<b>PEofAM</b>) and percentage error of the median (<b>PeofM</b>) for each species and loading scenario, under human-scaled conditions.</p><table><tbody><tr><th>INDIVIDUAL</th><th>SCENARIO</th><th><b>N of Elements</b></th><th><b>MWAM</b></th><th><b>MWM</b></th><th><b>Q25</b></th><th><b>Q50</b></th><th><b>Q75</b></th><th><b>M95</b></th><th><b>PEofAM</b></th><th><b>PEofM</b></th></tr></tbody><tbody><tr><th>Modern Human</th><td>1</td><td>225689</td><td>3.7540</td><td>2.6128</td><td>1.3997</td><td>2.6690</td><td>5.6844</td><td>10.0261</td><td>0.7130</td><td>2.1509</td></tr><tr><th>Modern Human</th><td>2</td><td>225729</td><td>2.5238</td><td>1.7800</td><td>0.9680</td><td>1.8227</td><td>3.8100</td><td>6.6442</td><td>0.7309</td><td>2.3997</td></tr><tr><th>Modern Human</th><td>3</td><td>225689</td><td>3.8349</td><td>2.6530</td><td>1.4269</td><td>2.7080</td><td>5.8135</td><td>10.2790</td><td>0.7100</td><td>2.0714</td></tr><tr><th>Modern Human</th><td>4</td><td>225710</td><td>2.6876</td><td>1.8662</td><td>1.0241</td><td>1.9051</td><td>4.0670</td><td>7.1455</td><td>0.7225</td><td>2.0867</td></tr><tr><th>Neanderthal</th><td>1</td><td>240478</td><td>3.7401</td><td>2.7851</td><td>1.5604</td><td>2.8336</td><td>5.3814</td><td>9.6489</td><td>1.6161</td><td>1.7432</td></tr><tr><th>Neanderthal</th><td>2</td><td>240469</td><td>2.5277</td><td>1.8985</td><td>1.0995</td><td>1.9326</td><td>3.6118</td><td>6.4210</td><td>1.5858</td><td>1.7975</td></tr><tr><th>Neanderthal</th><td>3</td><td>240469</td><td>3.8275</td><td>2.8449</td><td>1.6271</td><td>2.8931</td><td>5.4883</td><td>9.8692</td><td>1.6163</td><td>1.6943</td></tr><tr><th>Neanderthal</th><td>4</td><td>240471</td><td>2.6708</td><td>1.9879</td><td>1.1443</td><td>2.0203</td><td>3.8108</td><td>6.8892</td><td>1.6184</td><td>1.6299</td></tr><tr><th>Chimpanzee</th><td>1</td><td>160103</td><td>4.1812</td><td>3.9750</td><td>2.2535</td><td>4.0610</td><td>5.9939</td><td>7.6454</td><td>0.0015</td><td>2.1631</td></tr><tr><th>Chimpanzee</th><td>2</td><td>160104</td><td>2.8698</td><td>2.7413</td><td>1.5694</td><td>2.8039</td><td>4.0960</td><td>5.1944</td><td>0.0004</td><td>2.2836</td></tr><tr><th>Chimpanzee</th><td>3</td><td>160046</td><td>4.2475</td><td>4.0192</td><td>2.2864</td><td>4.1141</td><td>6.0832</td><td>7.7941</td><td>0.0148</td><td>2.3599</td></tr><tr><th>Chimpanzee</th><td>4</td><td>160104</td><td>3.0042</td><td>2.8468</td><td>1.6410</td><td>2.9113</td><td>4.2753</td><td>5.4869</td><td>0.0164</td><td>2.2646</td></tr><tr><th>Gorilla</th><td>1</td><td>225710</td><td>2.6876</td><td>1.8662</td><td>1.0241</td><td>1.9051</td><td>4.0670</td><td>7.1455</td><td>0.7225</td><td>2.0867</td></tr><tr><th>Gorilla</th><td>2</td><td>327267</td><td>2.4440</td><td>2.1049</td><td>1.3316</td><td>2.1522</td><td>3.1882</td><td>5.1728</td><td>0.1482</td><td>2.2471</td></tr><tr><th>Gorilla</th><td>3</td><td>327267</td><td>3.7738</td><td>3.1737</td><td>1.9572</td><td>3.2548</td><td>5.0131</td><td>8.1784</td><td>0.1610</td><td>2.5570</td></tr><tr><th>Gorilla</th><td>4</td><td>327267</td><td>2.6870</td><td>2.2688</td><td>1.3987</td><td>2.3215</td><td>3.5807</td><td>5.7799</td><td>0.1603</td><td>2.3228</td></tr><tr><th>Orangutan</th><td>1</td><td>199857</td><td>4.0409</td><td>3.3878</td><td>2.1630</td><td>3.4804</td><td>5.2597</td><td>9.1689</td><td>0.6450</td><td>2.7344</td></tr><tr><th>Orangutan</th><td>2</td><td>199857</td><td>2.7519</td><td>2.3201</td><td>1.5089</td><td>2.3899</td><td>3.5526</td><td>6.1413</td><td>0.6300</td><td>3.0085</td></tr><tr><th>Orangutan</th><td>3</td><td>199813</td><td>4.1216</td><td>3.4543</td><td>2.2075</td><td>3.5543</td><td>5.3691</td><td>9.3611</td><td>0.6596</td><td>2.8941</td></tr><tr><th>Orangutan</th><td>4</td><td>199813</td><td>2.9129</td><td>2.4571</td><td>1.5893</td><td>2.5330</td><td>3.7670</td><td>6.5330</td><td>0.6369</td><td>3.0885</td></tr><tr><th>Gibbon</th><td>1</td><td>311431</td><td>6.3313</td><td>5.4576</td><td>3.2272</td><td>5.5294</td><td>8.5269</td><td>14.0750</td><td>0.1785</td><td>1.3156</td></tr><tr><th>Gibbon</th><td>2</td><td>311442</td><td>4.3431</td><td>3.7514</td><td>2.2259</td><td>3.8016</td><td>5.8425</td><td>9.6143</td><td>0.1738</td><td>1.3370</td></tr><tr><th>Gibbon</th><td>3</td><td>311442</td><td>6.4105</td><td>5.5281</td><td>3.2583</td><td>5.6069</td><td>8.6284</td><td>14.2694</td><td>0.1767</td><td>1.4247</td></tr><tr><th>Gibbon</th><td>4</td><td>311442</td><td>4.5087</td><td>3.9023</td><td>2.3007</td><td>3.9605</td><td>6.0438</td><td>10.0180</td><td>0.1783</td><td>1.4927</td></tr></tbody></table>
TABLE 3 in Finite element analysis of the proximal phalanx of the thumb in Hominoidea during simulated stone tool use
<p>TABLE 3. — Mesh characteristics for each one of the specimens.Abbreviations: <b>a</b>, volume of the cortical bone; <b>b</b>, volume of trabecular bone; <b>c</b>, number of elements used to create the mesh for each FE model.</p><table><tbody><tr><th><b>Specimen</b></th><th><b>Volume CB (mm</b> <b>3</b><b>)</b> <b>a</b></th><th><b>Volume TB (mm</b> <b>3</b><b>)</b> <b>b</b></th><th><b>N <b>elementsc</b></b></th></tr></tbody><tbody><tr><th>Modern human</th><td>1012.8</td><td>651.1</td><td>225729</td></tr><tr><th>Neanderthal</th><td>733.3</td><td>662.6</td><td>240469</td></tr><tr><th>Chimpanzee</th><td>1046.1</td><td>178.6</td><td>160103</td></tr><tr><th>Gorilla</th><td>1642.9</td><td>577.9</td><td>225710</td></tr><tr><th>Orangutan</th><td>610.1</td><td>542.8</td><td>199857</td></tr><tr><th>Gibbon</th><td>250.7</td><td>65.9</td><td>311431</td></tr></tbody></table>
APPENDIX 1 in Finite element analysis of the proximal phalanx of the thumb in Hominoidea during simulated stone tool use
<p>APPENDIX 1. — Loads applied to the models for each one of the species under analysis and simulated loading scenarios. Abbreviations: <b>a</b>, forces (<b>N</b>) and angles (Ɵ) relative to the longitudinal axes of the bone; <b>b</b>, muscle forces for the human and chimpanzee reference models, respectively, are separate by a slash; <b>c</b>, force reactions in the proximal and distal joints were scaled to remove size effects when computing stress distributions.</p><table><tbody><tr><th>Specimen</th><th>SC</th><th>HRFa</th><th>FPB HS /FPB PTb</th><th>AP HS /AP PTb</th><th>EPB HS /EPB PTb</th><th>ABP HS /ABP PTb</th><th>JRFc d</th><th></th><th><b><b>JRFc</b> mc</b></th><th></th></tr></tbody><tbody><tr><th></th><td></td><td><b>N</b></td><td>Ɵ</td><td><b>N</b></td><td>Ɵ</td><td><b>N</b></td><td>Ɵ</td><td><b>N</b></td><td>Ɵ</td><td><b>N</b></td><td>Ɵ</td><td><b>N</b></td><td>Ɵ</td><td><b>N</b></td><td>Ɵ</td></tr><tr><th>Modern Human</th><td>1 2 3 4</td><td>3.92 7.65 3.92 7.65</td><td>90 90 45 45</td><td>17.95/37.20 13.49/27.95 17.95/37.20 13.49/27.95</td><td>45 45 45 45</td><td>38.79/66.43 29.15/49.91 38.79/66.43 29.15/49.91</td><td>61.2 61.2 61.2 61.2</td><td>4.33/28.75 2.74/18.18 4.33/28.75 2.74/18.18</td><td>16.7 16.7 16.7 16.7</td><td>5.28/35.94 3.34/22.72 5.28/35.94 3.34/22.72</td><td>180 180 180 180</td><td>44.06/89.27 28.26/61.46 45.21/90.33 30.70/63.62</td><td>180 180 180 180</td><td>38.81/114.1 28.02/78.76 37.96/113.3 26.36/77.14</td><td>180 180 180 180</td></tr><tr><th>Neanderthal</th><td>1 2 3 4</td><td>3.92 7.65 3.92 7.65</td><td>90 90 45 45</td><td>14.47/29.99 10.87/22.54 14.47/29.99 10.87/22.54</td><td>45 45 45 45</td><td>31.28/53.56 23.50/40.24 31.28/53.56 23.50/40.24</td><td>61.2 61.2 61.2 61.2</td><td>3.49/23.18 2.21/14.66 3.49/23.18 2.21/14.66</td><td>16.7 16.7 16.7 16.7</td><td>4.26/28.98 2.69/18.32 4.26/28.98 2.69/22.72</td><td>180 180 180 180</td><td>35.55/72.02 22.79/49.58 36.46/72.85 24.75/51.29</td><td>180 180 180 180</td><td>30.75/91.35 22.36/63.11 30.27/90.88 21.41/62.18</td><td>180 180 180 180</td></tr><tr><th>Chimpanzee</th><td>1 2 3 4</td><td>3.92 7.65 3.92 7.65</td><td>90 90 45 45</td><td>18.34/38.01 13.78/28.56 18.34/38.01 13.78/28.56</td><td>45 45 45 45</td><td>39.64/67.88 29.78/51.00 39.64/67.88 29.78/51.00</td><td>61.2 61.2 61.2 61.2</td><td>– – – –</td><td>– – – –</td><td>5.39/36.72 3.41/23.22 5.39/36.76 3.41/23.22</td><td>180 180 180 180</td><td>43.78/82.63 28.05/57.36 45.11/83.92 30.92/60.02</td><td>180 180 180 180</td><td>35.51/90.61 26.15/64.17 35.78/90.89 26.7/64.7</td><td>180 180 180 180</td></tr><tr><th>Gorilla</th><td>1 2 3 4</td><td>3.92 7.65 3.92 7.65</td><td>90 90 45 45</td><td>24.78/51.36 18.62/38.59 24.78/51.36 18.62/38.36</td><td>45 45 45 45</td><td>53.55/91.71 40.24/68.91 53.55/91.71 40.24/68.91</td><td>61.2 61.2 61.2 61.2</td><td>5.97/39.69 3.78/25.10 5.97/39.69 3.78/25.10</td><td>16.7 16.7 16.7 16.7</td><td>7.29/49.61 4.61/31.37 7.29/49.61 4.61/31.37</td><td>180 180 180 180</td><td>61.17/125.1 39.33/86.13 64.27/128.2 45.94/92.39</td><td>180 180 180 180</td><td>49.14/144.11 35.31/99.38 49.57/144.53 36.15/100.2</td><td>180 180 180 180</td></tr><tr><th>Orangutan</th><td>1 2 3 4</td><td>3.92 7.65 3.92 7.65</td><td>90 90 45 45</td><td>19.74/40.91 14.83/30.74 19.74/40.91 14.83/30.74</td><td>45 45 45 45</td><td>42.66/73.06 32.06/54.90 42.66/73.06 32.06/54.90</td><td>61.2 61.2 61.2 61.2</td><td>– – – –</td><td>– – – –</td><td>5.80/39.52 3.67/24.99 5.80/39.52 3.67/24.99</td><td>180 180 180 180</td><td>47.62/89.76 30.56/62.34 49.01/91.09 33.44/65.02</td><td>180 180 180 180</td><td>47.85/117.2 34.51/82.77 50.55/119.84 39.78/87.92</td><td>180 180 180 180</td></tr><tr><th>Gibbon</th><td>1 2 3 4</td><td>3.92 7.65 3.92 7.65</td><td>90 90 45 45</td><td>7.08/14.66 5.32/11.02 7.08/14.66 5.32/11.02</td><td>45 45 45 45</td><td>15.29/26.1 11.49/19.68 15.29/26.19 11.49/19.68</td><td>61.2 61.2 61.2 61.2</td><td>– – – –</td><td>– – – –</td><td>2.08/14.17 1.32/8.96 2.08/14.17 1.32/8.96</td><td>180 180 180 180</td><td>17.75/32.87 11.25/22.87 17.88/33.25 12.1/23.65</td><td>180 180 180 180</td><td>19.08/45.46 13.75/32.18 19.64/46.00 14.84/33.24</td><td>180 180 180 180</td></tr></tbody></table>
TABLE 1 in Finite element analysis of the proximal phalanx of the thumb in Hominoidea during simulated stone tool use
<p>TABLE 1. — Sample. Abbreviations: <b>a</b>, age of individuals, if known; unk: unknown. <b>b</b>, M: male; F: female. <b>c</b>, R: right; L: left.</p><table><tbody><tr><th><b>Species</b></th><th><b>Common name</b></th><th><b>Age a</b></th><th><b>Sex b</b></th><th><b>Side</b></th><th><b>Digital database/ <b>no</b></b></th><th><b>CT/microCT resolution (mm)</b></th></tr></tbody><tbody><tr><th><i>Homo sapiens</i></th><td>Modern human</td><td>59</td><td>M</td><td>R</td><td>None</td><td>0.08</td></tr><tr><th><i>Homo neanderthalensis</i></th><td>Neanderthal</td><td>unk</td><td>unk</td><td>R</td><td>NESPOS/ Krapina 202</td><td>0.03</td></tr><tr><th><i>Pan troglodytes</i></th><td>Chimpanzee</td><td>29</td><td>M</td><td>L</td><td>KURPI/345</td><td>0.219</td></tr><tr><th><i>Gorilla gorilla</i></th><td>Gorilla</td><td>38</td><td>M</td><td>R</td><td>KUPRI/1353</td><td>0.500</td></tr><tr><th><i>Pongo pygmaeus</i></th><td>Orangutan</td><td>32</td><td>F</td><td>R</td><td>None</td><td>0.03</td></tr><tr><th><i>Hylobates lar</i></th><td>Gibbon</td><td>33</td><td>M</td><td>R</td><td>KUPRI/465</td><td>0.250</td></tr></tbody></table>
An enhanced single Gaussian point continuum finite element formulation using automatic differentiation: Source code and data
<p>This dataset contains the source code and the data with an example of uniaxial strain of an enhanced single Gaussian point continuum finite elemnet formulation using automatic differentiation.</p> <p> </p> <p>This contribution presents a low-order 3D finite element formulation with hourglass stabilization using automatic differentiation. Here, the former Q1STc element formulation is enhanced by an approximation-free computation of the inverse of the Jacobian. The improved version is termed "Q1STc+."</p> <p> </p> <p>The corresponding publication is:</p> <p><br>Pacolli, N., Awad, A., Kehls, J., Sauren, B., Klinkel, S., Reese, S., Holthusen, H.<br><em>An enhanced single Gaussian point continuum finite elemnet formulation using automatic differentiation.</em></p> <p>Standalone_Elementroutine: <em>Q1STc+_Codes</em> contains:</p> <ul> <li><strong>main.f90</strong>: Standalone routine for local uniaxial strain test</li> <li><strong>Makefile</strong>: Makefile to create executable "Q1STc+"</li> <li><strong>elem40.f90</strong>: Element routine "Q1STc+" with elem_sub.f90 as the subroutine written in AceGen</li> <li><strong>mat52.f90</strong>: Elasto-plastic material routine with all subroutines written in AceGen</li> <li><strong>elem_mat_select.f90</strong>: The selected material routine (Here: mat52)</li> <li><strong>elem_subs.f90</strong>: Subroutines for elem40.f90</li> <li><strong>mat_subs.f90</strong>: Subroutines for mat52.f90</li> </ul>
Supplementary dataset for "High-resolution Finite Fault Slip Inversion of the 2019 Ridgecrest Earthquake using 3D Finite Element Modeling."
<p>Supplementary dataset for "High-resolution Finite Fault Slip Inversion of the 2019 Ridgecrest Earthquake using 3D Finite Element Modeling." </p>
Finite element models from: Mechanical compensation in the evolution of the early hominin feeding apparatus
<p>Australopiths, a group of hominins from the Plio-Pleistocene of Africa, are characterized by derived traits in their crania hypothesized to strengthen the facial skeleton against feeding loads and increase the efficiency of bite force production. The crania of robust australopiths are further thought to be stronger and more efficient than those of gracile australopiths. Results of prior mechanical analyses have been broadly consistent with this hypothesis, but here we show that the predictions of the hypothesis with respect to mechanical strength are not met: some gracile australopith crania are as strong as that of a robust australopith, and the strength of gracile australopith crania overlaps substantially with that of chimpanzee crania. We hypothesize that the evolution of cranial traits that increased the efficiency of bite force production in australopiths may have simultaneously weakened the face, leading to the compensatory evolution of additional traits that reinforced the facial skeleton. The evolution of facial form in early hominins can therefore be thought of as a trade-off between the need to increase the efficiency of bite force production and the need to maintain the structural integrity of the face. This may have implications for interpreting cranial form in other vertebrates.</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>
Finite element analysis related to MiGriBot, a microrobotic structure
<p>The dataset presents the input and the results of three particular simulations made with ANSYS Workbench, a FEM software. Files contain information about the setting up of the analysis and results data.<br> There is information about the displacement of the parallel mechanism under actuation, a pick-and-place simulation, a modal analysis at the home configuration, and an evaluation of the stiffness of the gripper.</p>
Finite Element Model of the ISTAR Demonstrator Wing
<p>A Nastran Bulk Data Deck of a miniature wing is provided. The wing is a small-scale representation of the <a href="https://www.dlr.de/content/en/articles/aeronautics/research-fleet-infrastructure/dlr-research-aircraft/istar-dassault-falcon-2000lx-d-bdlr.html">DLR ISTAR research aircraft</a> wing. The model consists of quadrilateral CQUAD4 shell elements with multi-layer GFRP composite properties. It has been built using the DLR in-house software ModGen which enables the <a href="https://elib.dlr.de/105799/">parametric design and optimization of full aeroelastic analysis models</a>.</p> <p>The input ".bdf"-file was used in MSC Nastran version 2018.2 to generate the output files ".h5, .f06, .xdb". By default a normal modes analysis is conducted with the wing being clamped at the symmetry plane of the aircraft.</p> <p>https://www.dlr.de/en</p>
Analysis files for MSC Marc finite element software, Article: The analysis of shrink-fit connection – the methods of heating and the factors influencing the distribution of residual stresses
<p>This archive contains model files for Finite Element Analysis of the shrink-fit connection in crankshaft and the files for charts in GNUPlot.</p>
A Novel Hybrid Finite Element-Spectral Boundary Integral Scheme for Modeling Earthquake Cycles: Application to Rate and State Faults with Low-Velocity Zones
<p>We present a novel hybrid finite element (FE) - spectral boundary integral (SBI) scheme that enables efficient simulation of earthquake cycles. This combined FE-SBI approach captures the benefits of finite elements in modelling problems with nonlinearities, as well as the computational superiority of SBI. The domain truncation enabled by this scheme allows us to utilize high-resolution finite elements discretization to capture inhomogeneities or complexities that may exist in a narrow region surrounding the fault. Combined with an adaptive time stepping algorithm, this framework opens new opportunities for modeling earthquake cycles with high-resolution fault zone physics. In this initial study, we consider a two dimensional (2-D) anti-plane model with a vertical strike-slip fault governed by rate and state friction in the quasi-dynamic limit under the radiation damping approximation. The proposed approach is first verified using the benchmark problem BP-1 from the Southern California Earthquake Center (SCEC) sequence of earthquake and aseismic slip (SEAS) community verification effort. The computational framework is then utilized to model the earthquake sequence and aseismic slip of a fault embedded within a low-velocity fault zone (LVFZ) with different widths and compliance levels. Our results indicate that sufficiently compliant LVFZs contribute to the emergence of sub-surface events that fail to penetrate to the free surface and may experience earthquake clusters with nonuniform inter-seismic time. Furthermore, the LVFZ leads to slip rate amplification relative to the homogeneous elastic case. We discuss the implications of our results for understanding earthquake complexity as an interplay of fault friction and bulk heterogeneities. The complete work consists of all files listed below. </p>
FIGURE 7 in Coupling finite element analysis and multibody system dynamics for biological research
FIGURE 7. Average error with respect to the number of deformation modes used.
FIGURE 6. First 12 in Coupling finite element analysis and multibody system dynamics for biological research
FIGURE 6. First 12 modes of the skull in case 2 (with the web of beams in the model).
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.