scholarly journals Lagrangian Data Assimilation and Parameter Estimation of an idealized Sea Ice Discrete Element Model

2021 ◽  
Author(s):  
Nan Chen ◽  
Shubin Fu ◽  
Georgy Manucharyan
Keyword(s):  
Parameter Estimation ◽  
Data Assimilation ◽  
Sea Ice ◽  
Element Model ◽  
Discrete Element ◽  
Discrete Element Model ◽  
Lagrangian Data

A modified discrete element model for sea ice dynamics

2014 ◽  
Vol 33 (1) ◽  
pp. 56-63 ◽  
Author(s):  
Baohui Li ◽  
Hai Li ◽  
Yu Liu ◽  
Anliang Wang ◽  
Shunying Ji
Keyword(s):  
Sea Ice ◽  
Element Model ◽  
Discrete Element ◽  
Discrete Element Model ◽  
Ice Dynamics ◽  
Sea Ice Dynamics

Numerical Simulation of Sea Ice Compressional Strength with Discrete Element Model

2011 ◽  
Vol 268-270 ◽  
pp. 913-918
Author(s):  
Hai Li ◽  
Yu Liu ◽  
Xiang Jun Bi ◽  
Shun Ying Ji
Keyword(s):  
Experimental Data ◽  
Sea Ice ◽  
Element Model ◽  
Discrete Element ◽  
Discrete Element Model ◽  
Offshore Structure ◽  
Ice Load ◽  
Particle Bonding ◽  
Compressional Strength ◽  
Key Parameter

The compressional strength of sea ice is a key parameter to determine the interaction between ice cover and offshore structure. In this study, the discrete element model (DEM) with particle bonding function is adopted to model the sea ice compressional strength. The bonding strength is set as a function of the ice temperature and ice salinity, and their influences on sea ice compressional strength are observed. The simulated results are compared well with the physical experimental data. With the improvement of this DEM, the ice load and ice-induced vibration of offshore structure can be simulated.

scholarly journals Geometric remapping of particle distributions in the Discrete Element Model for Sea Ice (DEMSI v0.0)

2021 ◽  
Author(s):  
Adrian K. Turner ◽  
Kara J. Peterson ◽  
Dan Bolintineanu
Keyword(s):  
Sea Ice ◽  
Element Model ◽  
Discrete Element ◽  
Discrete Element Model ◽  
Earth System ◽  
System Models ◽  
Ice Edge ◽  
Ice Floes ◽  
Lagrangian Motion ◽  
Earth System Models

Abstract. A new sea ice dynamical core, the Discrete Element Model for Sea Ice (DEMSI), is under development for use in coupled Earth system models. DEMSI is based on the discrete element method, which models collections of ice floes as interacting Lagrangian particles. In basin-scale sea ice simulations the Lagrangian motion results in significant convergence and ridging, which requires periodic remapping of sea ice variables from a deformed particle configuration back to an undeformed initial distribution. At the resolution required for Earth system models we cannot resolve individual sea ice floes, so we adopt the sub-gridscale thickness distribution used in continuum sea ice models. This choice leads to a series of hierarchical tracers depending on ice fractional area or concentration that must be remapped consistently. The circular discrete elements employed in DEMSI help improve the computational efficiency at the cost of increased complexity in the effective element area definitions for sea ice cover that are required for the accurate enforcement of conservation. An additional challenge is the accurate remapping of element values along the ice edge, the location of which varies due to the Lagrangian motion of the particles. In this paper we describe a particle-to-particle remapping approach based on well-established geometric remapping ideas that enforces conservation, bounds-preservation, and compatibility between associated tracer quantities, while also robustly managing remapping at the ice edge. One element of the remapping algorithm is a novel optimization-based flux correction that enforces concentration bounds in the case of non-uniform motion. We demonstrate the accuracy and utility of the algorithm in a series of numerical test cases.

scholarly journals Discrete-element model for the interaction between ocean waves and sea ice

2012 ◽  
Vol 85 (1) ◽  
Author(s):  
Zhijie Xu ◽  
Alexandre M. Tartakovsky ◽  
Wenxiao Pan
Keyword(s):  
Sea Ice ◽  
Element Model ◽  
Discrete Element ◽  
Ocean Waves ◽  
Discrete Element Model

scholarly journals Discrete element model for general polyhedra

2021 ◽  
Author(s):  
Alfredo Gay Neto ◽  
Peter Wriggers
Keyword(s):  
Frictional Contact ◽  
Virtual Work ◽  
Particle Surface ◽  
Element Model ◽  
Discrete Element ◽  
Discrete Element Model ◽  
Principle Of Virtual Work ◽  
Dynamics Model ◽  
Railway Ballast ◽  
Multibody Dynamics Model

AbstractWe present a version of the Discrete Element Method considering the particles as rigid polyhedra. The Principle of Virtual Work is employed as basis for a multibody dynamics model. Each particle surface is split into sub-regions, which are tracked for contact with other sub-regions of neighboring particles. Contact interactions are modeled pointwise, considering vertex-face, edge-edge, vertex-edge and vertex-vertex interactions. General polyhedra with triangular faces are considered as particles, permitting multiple pointwise interactions which are automatically detected along the model evolution. We propose a combined interface law composed of a penalty and a barrier approach, to fulfill the contact constraints. Numerical examples demonstrate that the model can handle normal and frictional contact effects in a robust manner. These include simulations of convex and non-convex particles, showing the potential of applicability to materials with complex shaped particles such as sand and railway ballast.

A discrete-element model for viscoelastic deformation and fracture of glacial ice

2015 ◽  
Vol 195 ◽  
pp. 14-22 ◽  
Author(s):  
T.I. Riikilä ◽  
T. Tallinen ◽  
J. Åström ◽  
J. Timonen
Keyword(s):  
Element Model ◽  
Discrete Element ◽  
Discrete Element Model ◽  
Viscoelastic Deformation ◽  
Glacial Ice ◽  
Deformation And Fracture

Study on Machining Mechanism of Glass Using Discrete Element Method

2014 ◽  
Vol 577 ◽  
pp. 108-111 ◽  
Author(s):  
Ying Qiu ◽  
Mei Lin Gu ◽  
Feng Guang Zhang ◽  
Zhi Wei
Keyword(s):  
Discrete Element Method ◽  
Element Model ◽  
Discrete Element ◽  
Rake Angle ◽  
Milling Process ◽  
Micro Milling ◽  
Discrete Element Model ◽  
Machined Surface ◽  
Damage Depth ◽  
Element Method

The discrete element method (DEM) is applied to glass micromachining in this study. By three standard tests the discrete element model is established to match the main mechanical properties of glass. Then, indentating, cutting, micro milling process are simulated. Results show that the vertical damage depth is prevented from reaching the final machined surface in cutting process. Tool rake angle is the most remarkable factor influencing on the chip deformation and cutting force. The final machined surface is determined by the minimum cutting thickness per edge. Different cutting thickness, cutter shape and spindle speed largely effect on the mechanism of glass.

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