TUdatalib Upgrade

Am 2. Juni erfolgte ein TUdatalib Upgrade auf eine neue Softwareversion. Dieses Upgrade bringt wichtige Neuerungen mit sich. Eine Übersicht finden Sie in der Dokumentation
On June 2nd, TUdatalib was upgraded to a new software version. This upgrade introduced major changes to the system. Please see our documentation for an overview.

 

Fracture toughness of mixed-mode anticracks in highly porous materials

datacite.relation.isCitedBy https://doi.org/10.21203/rs.3.rs-3965175/v1
dc.contributor.author Adam, Valentin
dc.contributor.author Bergfeld, Bastian
dc.contributor.author Weißgraeber, Philipp
dc.contributor.author van Herwijnen, Alec
dc.contributor.author Rosendahl, Philipp Laurens
dc.date.accessioned 2024-06-03T12:21:17Z
dc.date.available 2024-06-03T12:21:17Z
dc.date.created 2024-05-24
dc.date.issued 2024-06-03
dc.description This repository contains the code and datasets used in the data analysis for "Fracture toughness of mixed-mode anticracks in highly porous materials". The data is provided as pickled Pandas DataFrames. The analysis is implemented in Python, using Jupyter Notebooks. de_DE
dc.description.version v1.0 de_DE
dc.identifier.uri https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4241
dc.identifier.uri https://doi.org/10.48328/tudatalib-1450
dc.language.iso en de_DE
dc.rights.licenseCC-BY-4.0 (https://creativecommons.org/licenses/by/4.0)
dc.subject Anticrack de_DE
dc.subject Fracture de_DE
dc.subject Snow de_DE
dc.subject Avalanche de_DE
dc.subject Weak layer de_DE
dc.subject Mixed-mode loading de_DE
dc.subject.classification 3.46-01
dc.subject.classification 4.12-02
dc.subject.classification 4.51-05
dc.subject.ddc 624
dc.subject.ddc 620
dc.title Fracture toughness of mixed-mode anticracks in highly porous materials de_DE
dc.type Dataset de_DE
dc.type Software de_DE
dcterms.accessRights openAccess
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
tuda.history.classification Version=2020-2024;318-01 Hydrogeologie, Hydrologie, Limnologie, Siedlungswasserwirtschaft, Wasserchemie, Integrierte Wasser-Ressourcen Bewirtschaftung
tuda.history.classification Version=2020-2024;402-02 Mechanik
tuda.history.classification Version=2020-2024;410-05 Angewandte Mechanik, Statik und Dynamik
tuda.unit TUDa

Files

Original bundle

Now showing 1 - 8 of 8
NameDescriptionSizeFormat
energy.pyMethods for the calculation of energy release rates.5.46 KB Download
regression.pyMethods for the regression analyses.16.15 KB Download
visualization.pyMethods for generating visualizations.23.34 KB Download
df_legacy.pklPickled DataFrame with literature data.62.02 KBUnknown data format Download
df_mmft.pklPickled DataFrame with experimental data gathered in the present work.36.21 KBUnknown data format Download
main.ipynbJupyter notebook with the main data analysis workflow.1.32 MBUnknown data format Download
requirements.txtPip package requirements.120 BPlain Text Download
README.mdREADME file. Start here.4.59 KBUnknown data format Download

Collections