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[1] Sea ice friction models are necessary to predict the nature of interactions between sea ice floes. These interactions are of interest on a range of scales, for example, to predict loads on engineering structures in icy waters or to understand the basinscale motion of sea ice. Many models use Amo...

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Bibliographic Details
Main Authors: A Rate, Ben Lishman, Peter Sammonds, Danny Feltham
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.660.2129
http://centaur.reading.ac.uk/34651/1/jgrc11768.pdf
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Summary:[1] Sea ice friction models are necessary to predict the nature of interactions between sea ice floes. These interactions are of interest on a range of scales, for example, to predict loads on engineering structures in icy waters or to understand the basinscale motion of sea ice. Many models use Amontons friction law due to its simplicity. More advanced models allow for hydrodynamic lubrication and refreezing of asperities; however, modeling these processes leads to greatly increased complexity. In this paper we propose, by analogy with rock physics, that a rate and statedependent friction law allows us to incorporate memory (and thus the effects of lubrication and bonding) into ice friction models without a great increase in complexity. We support this proposal with experimental data on both the laboratory (∼0.1 m) and ice tank (∼1 m) scale. These experiments show that the effects of static contact under normal load can be incorporated into a friction model. We find the parameters for a firstorder rate and state model to be A = 0.310, B = 0.382, and m0 = 0.872. Such a model then allows us to make predictions about the nature of memory effects in