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Ji Shunying, Wang Anliang, Mi Lili, Liu Yu, Li Baohui. Modified discrete element model for sea ice dynamics and its applications in the Bohai Sea[J]. Haiyang Xuebao, 2015, 37(5): 54-67. doi: 10.3969/j.issn.0253-4193.2015.05.006
Citation: Ji Shunying, Wang Anliang, Mi Lili, Liu Yu, Li Baohui. Modified discrete element model for sea ice dynamics and its applications in the Bohai Sea[J]. Haiyang Xuebao, 2015, 37(5): 54-67. doi: 10.3969/j.issn.0253-4193.2015.05.006

Modified discrete element model for sea ice dynamics and its applications in the Bohai Sea

doi: 10.3969/j.issn.0253-4193.2015.05.006
  • Received Date: 2013-04-28
  • Rev Recd Date: 2015-01-11
  • Breakup,rafting and ridging of ice cover exists widely in the polar and sub-polar regions. These processes affact the growth,vanishing and drifting of sea ice significantly. Considering the discrete distribution of sea ice on various scales,a discrete element model (DEM) should be developed to improve the sea ice numerical model and its computational precission. Thus,a modified discrete element model (MDEM) is established in this study to simulate the sea ice dynamics. Different with the traditional DEM,the ice cover is subdivided into a series of disks with their own characteristics including thickness,velocity,size and concentration,adopting the concept of smoothed particle hydrodynamics (SPH) of sea ice dynamics. Each sea ice element which is an assembly of ice floes changes in its size,concentration and thickness,according with the mass conservation law during drifting and inter-element collisions. According to the non-continuous distribution and rheology characteristics of ice cover,the viscous-elastic constitutive model is adopted. And the Mohr-Coulomb friction law is considered to determine the plastic deformation and tangential friction. To assess the reliability of this MDEM for sea ice dynamics,the drifting and ridging of ice cover in a various-width channel is simulated,and the simulated distribution of ice thickness is validated by the analytical solution. The drifting of sea ice in a rotational wind field is also simulated efficiently with high precision. Moreover,the sea ice dynamics in the Bohai Sea is simulated for 48 h. The simulated results match well with the satellite remote images and field observed data. In the future study,the MDEM will be improved by coupling dynamics and thermodynamics of sea ice. The growth,vanishing and drifting of sea ice will be simulated more accurately by consideringthe refrozen effect and breakage feature of ice cover.
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