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4 results for “Hyperelastic”
Synthetic Hyperelastic data for DDI
<p>Synthetic data used in the case study (section 3) of:</p><p>Marie Dalémat, Michel Coret, Adrien Leygue, Erwan Verron. Robustness of the Data-Driven Identification algorithm with incomplete input data. 2021. <a href="https://hal.science/hal-03028848v3">⟨hal-03028848v3⟩</a> </p><p>The data in XDMF + hdf5 format comprises:</p><p>1-the 2D computational mesh with triangular linear elements,</p><p>2-the nodal Forces for all loading steps (nodal quantity),</p><p>3-the displacement for all loading steps (nodal quantity),</p><p>4- Cauchy stress fields for all loading steps (cell quantity). </p><p> </p>
Hyperelastic Human Brain 1-7
<p>This dataset contains experimental data from the mechanical testing of human brain specimens.<br> The data have been filtered (moving average and linear interpolation) and the load/unload curves averaged to approximate the hyperelastic material response for infinitely slow strain rates.<br> Every specimen folder contains data for the three loading modes tested: cyclic compression/tension up to 15% strain as well as cyclic torsional shear experiments up to an amount of shear of 0.15 (l1) and 0.3 (l2), respectively. Furthermore, there are separate files for the first cycle (c1) and the third cycle (c3). The files for the compression/tension mode columns contain displacement [m] and normal force [N] while the torsional shear mode columns contain angular displacement [rad] and torque [Nm]. The data are also split into negative (_neg) and positive (_pos) parts for the torsional shear.<br> The specimens are named HBE_<brain_id>_<specimen_id> and their brain region can be looked up in the sample_lookup.xlsx file.</p> <p>The specimens were cylindrical with a diameter of ~8mm. Their height was determined from the test data and is stored in the geometry.yaml file (measurements given in m) located in each specimen's directory.</p> <p>Further explanation regarding the specimen preparation, experimental setup as well as the assignment of regions and governing regions can be found in Hinrichsen, J., Reiter, N., Bräuer, L. <em>et al.</em> Inverse identification of region-specific hyperelastic material parameters for human brain tissue. <em>Biomech Model Mechanobiol</em> (2023). https://doi.org/10.1007/s10237-023-01739-w.</p>
Three datasets containting the solutions of FEA simulations for a 2D Linear Elastic Model, a 2D Hyperelastic Model and a 3D Linear Elastic Model
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Fundamental Hyperelastic Material Study Project
<p>This research is part of an innovative effort to use hyperelastic materials&nbsp;to produce flexible and seamless aircraft structures that reduce drag&nbsp;and minimize acoustic noise. Hyperelastic materials, such as rubber,&nbsp;have a non-linear stress-strain relationship, which often complicates the&nbsp;modeling process. Therefore, CIF funding is being used to gain increased&nbsp;knowledge regarding the properties of hyperelastic materials and develop&nbsp;improved finite element analysis (FEA) models. This research effort&nbsp;builds on the knowledge gained from the Adaptive Compliant Trailing&nbsp;Edge (ACTE) experimental flight research project. The ACTE project&nbsp;will demonstrate the structure technology in flight, and this technology&nbsp;has been shown to improve aircraft aerodynamic efficiency and reduce&nbsp;airport-area noise generated during takeoffs and landings.</p><p><strong>Work to date:</strong> The Armstrong development team has fabricated the biaxial&nbsp;strain test hardware and completed initial bubble test planning. The team&nbsp;is working to obtain biaxial strain properties and develop an FEA model&nbsp;that simulates the material properties and failure characteristics. In 2014, the team fine-tuned the modeling by&nbsp;comparing the predicted output to an actual bubble test of the material.</p><p><strong>Partner:</strong> FlexSys Inc. is the industry partner on this effort, as it owns the&nbsp;design patent.</p><p><strong>Benefits</strong></p><ul><li><strong>Economical:</strong> Use of hyperelastic material&nbsp;increases fuel efficiency by reducing drag</li><li><strong>Quieter:</strong> Novel wing flap reduces noise&nbsp;associated with takeoffs and landings both in&nbsp;the aircraft cabin and on the ground</li></ul><p><strong>Applications</strong></p><ul><li>Aircraft wing flaps</li><li>Helicopter blades</li><li>Motor vehicles</li><li>Trains</li><li>Ships</li></ul>
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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.