Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
10
datasets available to search
ShareScore release 0.9.0
Dataset results
10 results for “Steel structures”
Pseudodynamic testing of a substandard infilled steel structure
<p>Data from the pseudodynamic testing of a substandard, infilled steel building, is provided. The structure and related testing activities are described in:</p> <div> <div> <div> <p><em>"Assessment of existing steel frames: Numerical study, pseudo-dynamic testing and influence of masonry infills" (2021) Luigi Di Sarno, Fabio Freddi, Mario D’Aniello, Oh-Sung Kwon, Jing-Ren Wu, Fernando Guti ́errez-Urzúa, Raffaele Landolfo, Jamin Park, Xenofon Palios, Elias Strepelias,Journal of Constructional Steel Research, 185, https://doi.org/10.1016/j.jcsr.2021.106873</em></p> <p> </p> </div> </div> </div>
Database of Uniaxial Shaking Table Tests for a Two-Storey Steel-Frame Structure
<h2>Description:</h2> <p>This data set contains data from experiments conducted on a two-storey steel-frame structure, involving sine-sweep, white noise, impulse, and earthquake loading. The experiments were carried out using a uniaxial shaking table of the <a href="https://www.lbb.rwth-aachen.de/go/id/eaxh/">Institute of Structural Analysis and Dynamics (LBB) - RWTH Aachen University</a>, in cooperation with the <a href="https://www.stb.rwth-aachen.de/cms/~iozv/STB/">Institute of Structural Steel (STB) - RWTH Aachen</a> and the <a href="https://www.cwe.rwth-aachen.de/home-2/">Center for Wind and Earthquake Engineering (CWE) – RWTH Aachen</a>.</p> <h3>Test structure:</h3> <p>The test structure was a two-storey, single-bay moment resisting frame (MRF) in the direction of excitation. In the perpendicular direction, a concentrically braced system provided lateral stability. The dimensions of the test structure were: 2.40 m length, 2.40 m width, and 3.78 m total height. Each floor had a distinct height: 2.02 m for the first floor and 1.76 m for the second. The moment resisting connections were realized as bolted extended unstiffened endplate joints. The column web panel was strengthened by two supplementary web plates (SWP) and continuity plates (CP). The base plate was meticulously modified to allow for rotation movement in order to approximate a pinned boundary condition. In addition, diaphragm action was ensured using diagonally arranged L-profiles in the plane of each floor. For additional mass, four steel I-profiles, each weighting 1650 kg were attached to the main structure (2 on each floor) and were secured by using steel U-profiles. An industrial pressure vessel with a self-weight of 100 kg, which remained empty for the first phase of the experimental campaign, was additionally mounted on the first floor. </p> <p>The properties of the frame structure are:</p> <ul> <li>Columns: HEA200 S355-J2 + 2 SWP + 6 CP</li> <li>Beams: HEA160 S235-JR</li> <li>Bolts: 8x M16, 10.9 HV</li> <li>Joints: Partial strength, semi-rigid</li> <li>End-plate: 272x190x8 mm</li> <li>Welds: Full penetration groove welds</li> </ul> <h3>Test setup:</h3> <p>The shaking table specifications are:</p> <ul> <li>Table size: 3.0x3.0 m</li> <li>Max. specimen mass: 10 t</li> <li>Max. overturning moment: 30 m t</li> <li>Max. actuator stroke: +/- 250 mm</li> <li>Max. table velocity: +/- 1 m/s at rated load</li> <li>Max. table acceleration: +/- 1g at rated load</li> <li>Test frequency: 0 to 50 Hz</li> </ul> <p>The instrumentation scheme of the test setup consisted mainly of accelerometers, displacement tranducers and strain gauges, measuring the excitation provided by the shaking table and the response of the structure. Regarding the global response of the test structure, the recordings of the accelerometers and displacement tranducers indicated in the uploaded file 'Instrumentation_Scheme_v1.0.0.pdf' are provided. </p> <p>The properties of the accelerometers are:</p> <ul> <li>Type: M3701-series</li> <li>Manufacturer: PCB Piezotronics, Inc.</li> <li>Measurement range: +/- 3g</li> <li>Frequency range: 0-500 Hz</li> <li>Sensitivity: 900 mV/g</li> <li>Resolution: 2.2e-5g</li> <li>Noise: 1 µg/Hz<sup>-0.5</sup></li> </ul> <p>The properties of the displacement tranducers are:</p> <ul> <li>Type: LZW-M-500</li> <li>Manufacturer: WayCon Positionsmesstechnik GmbH</li> <li>Measurement range: +/- 250 mm</li> <li>Linearity: +/- 0.05%</li> <li>Repeatability: 0.01 mm</li> <li>Displacement force: ≤15 N</li> <li>Displacement speed: ≤5 m/s</li> </ul> <h2>Files:</h2> <ul> <li>Load_Protocols_v1.0.0.pdf <ul> <li>.pdf file listing all load protocols applied to the structure.</li> </ul> </li> <li>Time_Histories_v1.0.0.pdf <ul> <li>.pdf file displaying the acceleration and displacement time histories according to the load protocols.</li> </ul> </li> <li>Data_v1.0.0.zip <ul> <li>Contains all data files according to the load protocols.</li> <li>The experimental data is provided as .csv files for each load protocol. The experiments are named by the load protocol. A .pdf file contains the corresponding data plots.</li> </ul> </li> <li>References_v1.0.0.bib <ul> <li>Contains a bibtex reference with the associated publications.</li> </ul> </li> <li>Shake_Table.jpg <ul> <li>Photo of the shaking table without any specimen.</li> </ul> </li> <li>Test_Structure_v1.0.0.jpg <ul> <li>Photo of the shaking table including the test structure.</li> </ul> </li> <li>Test_Structure_Sketch_v1.0.0.pdf <ul> <li>.pdf file illustrating the test structure.</li> </ul> </li> <li>Instrumentation_Scheme_v1.0.0.pdf <ul> <li>.pdf file illustrating the sensor placements on the test structure.</li> </ul> </li> </ul> <h2>File format of the data sets:</h2> <p>The data is stored in .csv files, where each file contains the following columns:</p> <ul> <li>Time: Time in seconds since the start of the test (time step equals 0.003 s).</li> <li>Acc_0: Acceleration signal measured in m/s<sup>2</sup> on the shaking table.</li> <li>Acc_1: Acceleration response of the structure measured in m/s<sup>2</sup> on the first floor.</li> <li>Acc_2: Acceleration response of the structure measured in m/s<sup>2</sup> on the second floor.</li> <li>Disp_0: Displacement signal measured mm on the shaking table.</li> <li>Disp_1: Displacement response of the structure measured in mm on the first floor.</li> <li>Disp_2: Displacement response of the structure measured in mm on the second floor.</li> </ul> <p>These data files can easily be uploaded using the pandas library in Python. For example by:</p> <pre><code>import pandas as pd df = pd.read_csv('LP01_Sweep_001.csv') time = df["Time"] acc_0 = df["Acc_0"] disp_0 = df["Disp_0"]</code></pre> <h2>Contact:</h2> <p>Please send your enquiries regarding the shaking table to <a href="dynamics@lbb.rwth-aachen.de">dynamics@lbb.rwth-aachen.de</a>. Further information can be found on our <a href="https://www.lbb.rwth-aachen.de/go/id/eaxh/">website</a>.</p> <h2>Usage/License:</h2> <ul> <li>The data is licensed under CC BY-SA 4.0.</li> <li>If you have used our data and are publishing your work, we ask you to please reference both <ul> <li>this database by its DOI, and</li> <li>any publication that is associated with the experiments. See the "References_v1.0.0.bib" for the associated publication references.</li> </ul> </li> </ul> <h2>Fundings:</h2> <ul> <li>Deutsche Forschungsgemeinschaft - <em>Grant number: INST 222/1161-1 FUGG</em>. Einaxialer Schwingtisch für dynamische Modell- und Bauteilversuche.</li> <li>Bundesministerium für Bildung und Forschung - <em>Grant number: 03G0892A</em>. ROBUST – Nutzerorientiertes Erdbebenfrühwarnsystem mit intelligenten Sensorsystemen und digitalen Bauwerksmodellen – Entwicklung Installation und Anwendung von sensorbasierten Monitoringsystemen mit BIM-Integration zur Echtzeit-Schadenerkennung in kritischen Infrastrukturen.</li> </ul> <p> </p>
EBSD datasets for cross-sectioned structural steel hardness indentations - Adaptive Domain Misorientation
<p>Open access datasets for structural steel hardness indentations from the following publication: Ultramicroscopy 2021, Volume 222: <a href="https://doi.org/10.1016/j.ultramic.2021.113203">https://doi.org/10.1016/j.ultramic.2021.113203</a></p> <p>Files included:</p> <ul> <li>Adaptive domain misorientation calculated for Indentation 1 and 2 using misorientation thresholds (Delta theta) 0.5deg and 2deg, corresponding to dense dislocation walls and sub-grain boundaries</li> <li>Indentation 2: Raw dataset and associated mask file for excluding the edge of the data</li> </ul> <p>The methodology for analysing and plotting of the data is found at: <a href="https://doi.org/10.5281/zenodo.4430623">https://doi.org/10.5281/zenodo.4430623</a></p> <p>For further information visit: Aalto University Wiki - <a href="https://wiki.aalto.fi/display/EMDIDS">https://wiki.aalto.fi/display/EMDIDS</a></p>
High Throughput Exploration of Structure-Property Linkages in Dual Phase Steel
<p>Structure property linkage was studied in this research on a dual phase steel through microindentation and different microstructural characterization techniques; EBSD, SEM. A combination of intercritical annealing temperature and bake hardening provides nine different microstructures and as a result different strength values. Three intercritical temperatures result in different volume fractions of martensite. Additional cold work of 5 and 10 % thickness reduction followed by bake hardening is another parameter which results in strengthening. Samples were labeled in the format of aaa-bb-ccc; where aaa, bb, ccc represent intercritical annealing temperature, amount of cold work, and temperature of bake hardening respectively. The data set includes three kind of data: SEM images, EBSD scans, and microindebtation. Each folder set contains raw data and metadata related to testing settings. Quantification of microstructure is done using two point correlation and principle component analysis to find most important microstructural features in this material. Indentation strength for each processing paths were measured using spherical indentation technique. </p>
Dataset from structural health monitoring of a steel bridge in Sweden
<p>The dataset consists of sensor data from the Vänersborg Bridge in Sweden, comprising 64 bridge opening events registered as accelerations, strains, inclinations, and weather conditions. Data from before, during, and after a verified fracture are provided. The sample of raw data captured the same bridge opening event multiple times over the monitoring duration. Classifying data before and after damage enables the development and verification of routines for novelty detection. </p>
Database of measurements for damage detection of T-type steel structural joint by Coaxial Correlation Method in 6-D space
<p>This database includes series of measurements of the structure’s response taken in six-dimensional space using two 6D sensors, coaxially positioned on either side of the investigated joint between two steel beams connected at an angle of 90⁰. Presented data related to five different states of joints, seven load levels, two placements of used electrodynamic actuators and two type of input signal (short impulse and sweep signal with duration 0.5 seconds). In the “<strong>Read_me_first.pdf</strong>” is described the experiment, the format of .csv files names and files’ structure.</p>
Data from: Low reversed cyclic loading tests for integrated precast structure of lightweight wall with single-row reinforcement under a lightweight steel frame
Given the development of precast structures for low-rise residential buildings, this study explores a new structure—namely, an integrated precast structure of lightweight recycled-concrete wall with single-row reinforcement—under a lightweight steel frame filled with recycled concrete (integrated precast structure for short). The lightweight steel frame and lightweight wall cooperate to bear the forces. The applied concealed bracing, either a rebar bracing or a steel plate bracing, increases the shear resistance of the wall. The lightweight steel frame is designed to bear the vertical loading, whereas the seismic load in the horizontal direction is jointly borne by the frame and wall. This study presents the results of low reversed cyclic loading tests on nine specimens of integrated precast structures. An analysis is then carried out to investigate the mechanical properties of the specimens; based on these results, a formula for the force-bearing performance of the inclined section is developed. The results show satisfactory performance as an integrated piece; the proposed structure has two seismic lines of defence, with the lightweight wall restraint by the side frame being the first line and the steel frame being the second line. Because the failure of the wall can be categorised as shear failure, the restraint of the lightweight steel frame significantly reduces the potential damage of the wall. As the beams and columns of the steel frame tend to bend against failure, the wall filling helps resist sliding. Therefore, the reinforced joints of the connecting beams and columns show no visible signs of damage, indicating that the connection between the beams and columns is reliable. The narrow spacing of rebars and the setting of concealed bracing contribute to the increase in ductility and energy efficiency and the evident reduction in the failure process. Furthermore, the recycled concrete increases the seismic resistance of the structure.
Data from: Experimental study on seismic performance of a low-energy consumption composite wall structure of a pre-fabricated lightweight steel frame
Open the record for dataset details and reuse information.
Data from: Low reversed cyclic loading tests for integrated precast structure of lightweight wall with single-row reinforcement under a lightweight steel frame
Open the record for dataset details and reuse information.
Data on material, geometrical and imperfection characteristics of structural stainless steels and members
<p>This file includes data used in the calibration of statistical models for the different random variables affecting stainless steel members. This data was used in the analysis carried out and reported in the publication: "Statistical data of material, geometrical and imperfection characteristics of structural stainless steels and members"</p> <p>Measured and nominal values are listed for geometry-related data.</p> <p>Measured values are listed for material, imperfection and residual stress data.</p>
ScienceDex guides
Understand access before you commit
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.