A rate and state friction law for saline ice

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 basin‐scale motion of sea ice. Many models use Amonto...

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Bibliographic Details
Published in:Journal of Geophysical Research
Main Authors: Lishman, B, Sammonds, P
Format: Text
Language:unknown
Published: American Geophysical Union (AGU) 2011
Subjects:
Online Access:https://openresearch.lsbu.ac.uk/item/879z2
https://openresearch.lsbu.ac.uk/download/d5f4272151685c45ad01fe0b9804f6740448deeabc9c342b380755d963da0918/956773/2011%20JGR%20Rate%20and%20State%20final.pdf
https://doi.org/10.1029/2010JC006334
Description
Summary: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 basin‐scale motion of sea ice. Many models use Amonton’s 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 state‐dependent 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 first‐order 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 moving ice‐ice contacts.