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Data from uniaxial compressive testing of laboratory-made granular ice
Citation Link: https://doi.org/10.15480/882.4339
Publikationstyp
Data Paper
Date Issued
2022-05-06
Sprache
English
TORE-DOI
Journal
Volume
42
Start Page
108236
Citation
Data in Brief 42: 108236 (2022)
Publisher DOI
Scopus ID
Publisher
Elsevier
Uniaxial compressive tests of laboratory-made granular fresh-water ice were conducted in a cold room in the ductile and brittle strain rate range at -10.83°C ±0.74°C. Ice specimens with a length to diameter ratio of 2.5 showing brittle behavior failed by axial splitting. With the Instron Labtronic 8800, the operator controlled the tests at a frequency of 4,000 Hz. The data acquisition rate was 25,000 Hz, and for faster experiments, 100,000 Hz. The operator controlled on a random basis the hydraulic cylinder by either the cylinder displacement or the specimen displacement. Increasing as well as constant and decreasing compression strength trends with increasing strain rates could be shown in the past. The data presented here show a lower compressive strength at strain rates higher than 4*10−3 s−1. The data consist of the time history of the specimen and cylinder displacement measurement (in mm), and the force measurement (in kN). The data is available as a separate .xlsx file for each test performed. In total, 123 tests were performed. If the test was performed with a 10 mm gap, the label ends with a ‘g’. The abbreviations are separated with an underscore.
The data provided here can be used to validate ice-material models or for ice-testing databases for machine learning purposes.
The data provided here can be used to validate ice-material models or for ice-testing databases for machine learning purposes.
DDC Class
600: Technik
More Funding Information
Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Pro- jectnumber 4 9126 8466 and the Hamburg University of Technology (TUHH) in the funding pro- gramme ∗Open Access Publishing ∗.
The authors would like to acknowledge support from MarTERA - an ERA-NET Cofund scheme of Horizon 2020 of the European Commission - and the Research Council of Norway (Project no. 311502), the Federal Ministry for Economic Affairs and Climate Action of Germany (Project no. 03SX519B), and Department of Science and Technology of South Africa, through the HealthProp project.
The authors would like to acknowledge support from MarTERA - an ERA-NET Cofund scheme of Horizon 2020 of the European Commission - and the Research Council of Norway (Project no. 311502), the Federal Ministry for Economic Affairs and Climate Action of Germany (Project no. 03SX519B), and Department of Science and Technology of South Africa, through the HealthProp project.
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