Author(s): Takahiro Takeuchi; Satoshi Akagawa; Shinji Kioka; Takashi Terashima; Takaharu Kawai
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Abstract: The strength of natural sea ice has a lot of scatter due to variations in its growing process. For engineering purposes, it is necessary to understand this strength randomness. The uniaxial compressive strength of natural sea ice at Lake Saroma was analyzed statistically to find an appropriate probability density function that would fit the strength data. Furthermore, peaks occurring in subsequent ice load data obtained in medium scale field indentation tests carried out by the JOIA project were analyzed statistically, since it had been found that each peak load was due to flaking failure of ice in an independent ice failure zone. From a Chi square test for goodness of fit, it was found that both uniaxial compressive strength and peak load fit a lognormal density function with 3 parameters. From this, a method for generating strength and peaks of ice load based on ice failure in the brittle condition can be developed.
Year: 2008