Langanzeige der Metadaten
| DC Element | Wert | Sprache |
|---|---|---|
| dc.contributor.advisor | Eberl, Chris | - |
| dc.contributor.advisor | Sack, Harald | - |
| dc.contributor.author | Durmaz, Ali Riza | - |
| dc.contributor.author | Thomas, Akhil | - |
| dc.contributor.other | Alam, Mehwish | - |
| dc.date.accessioned | 2023-02-13T09:06:46Z | - |
| dc.date.available | 2023-02-13T09:06:46Z | - |
| dc.date.issued | 2023-01-04 | - |
| dc.identifier.uri | https://fordatis.fraunhofer.de/handle/fordatis/312 | - |
| dc.identifier.uri | http://dx.doi.org/10.24406/fordatis/248 | - |
| dc.description.abstract | This data set contains information about microstructure-sensitive damage in ferritic steel (EN 1.4003) specimens. We provide both graph and tabular data sets. In the graph data set, each node is a grain in the material, and each edge connects adjacent grains. Annotation is provided to each of the grains mentioning if it developed damage (protrusion in this case) during a fatigue test. The annotation is provided based on fatigue tests performed on the specimen. | en |
| dc.language.iso | en | en |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/4.0/ | en |
| dc.subject | Graph dataset | en |
| dc.subject | pytorch geometric | en |
| dc.subject | microstructural damage dataset | en |
| dc.subject.ddc | DDC::000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme | en |
| dc.title | Microstructural damage dataset (pytorch geometric dataset) | en |
| dc.type | Other | en |
| dc.contributor.funder | Robert Bosch Stiftung | en |
| dc.description.technicalinformation | The readme.md file provides an example on how to read the file. | en |
| fordatis.group | Werkstoffe, Bauteile | en |
| fordatis.institute | IWM Fraunhofer-Institut für Werkstoffmechanik | en |
| fordatis.rawdata | false | en |
| Enthalten in den Sammlungen: | Fraunhofer-Institut für Werkstoffmechanik IWM | |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| dataset.zip | 5,48 MB | ZIP | Öffnen/Download |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons