Data from uniaxial compressive testing of laboratory-made granular ice

Published: 22 April 2022| Version 3 | DOI: 10.17632/m4s8vkd8c5.3
Contributors:
Angelo Mario Böhm,
Hauke Herrnring,
Rüdiger U. Franz von Bock und Polach

Description

Uniaxial compressive tests of laboratory-made granular 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 to investigate the influence of the testing stiffness, among other testing properties, on the compressive strength of ice. The aim of the investigations was also to show the influence of high strain rates (brittle behavior) on the compressive strength of ice. 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. The file labeling consists of the testing date, the test number within the test series, the set test velocity (in mm/s) and the type of cylinder control. For the cylinder displacement controlled test, the label ends with ‘CDC’ and for the specimen displacement controlled tests, the label ends with ‘SDC’. However, 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.

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Institutions

Technische Universitat Hamburg

Categories

Compression Testing, Brittle Material

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