THREE-DIMENSIONAL DISCRETE ELEMENT MODELING OF FIRST-YEAR SEA ICE RIDGES

A three-dimensional discrete element model has been developed to investigate the evolution of particular aspects of pressure ridges in thin, first-year, sea ice. The primary goal of this work is to test one facet of recent theoretical advances in the representation of sea ice thickness in Earth Syst...

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Main Author: Davis, Travis J.
Other Authors: Radko, Timour, Roberts, Andrew F., Oceanography, Turner, Adrian, Los Alamos National Laboratory
Format: Thesis
Language:unknown
Published: Monterey, CA; Naval Postgraduate School 2019
Subjects:
Online Access:https://hdl.handle.net/10945/62801
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record_format openpolar
spelling ftnavalpschool:oai:calhoun.nps.edu:10945/62801 2024-06-09T07:43:41+00:00 THREE-DIMENSIONAL DISCRETE ELEMENT MODELING OF FIRST-YEAR SEA ICE RIDGES Davis, Travis J. Radko, Timour Roberts, Andrew F. Oceanography Turner, Adrian, Los Alamos National Laboratory 2019-06 application/pdf https://hdl.handle.net/10945/62801 unknown Monterey, CA; Naval Postgraduate School NPS Outstanding Theses and Dissertations 31669 https://hdl.handle.net/10945/62801 This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. discrete element model sea ice Arctic ridge LAMMPS Thesis 2019 ftnavalpschool 2024-05-15T00:26:04Z A three-dimensional discrete element model has been developed to investigate the evolution of particular aspects of pressure ridges in thin, first-year, sea ice. The primary goal of this work is to test one facet of recent theoretical advances in the representation of sea ice thickness in Earth System Models that advocates for the introduction of macro-porosity, R, to the state space of basin-scale sea ice models. Macro-porosity is caused by cavities between fractured sea ice blocks created during the formation of ridges during convergence of ice floes in the Southern and Arctic Oceans. Previously, sea ice thickness in basin-scale sea ice models has been represented by a real thickness distribution, g(h), but new mathematical derivations suggest that this should be replaced in predictive models with a bivariate distribution, g(h, R). In this thesis, a discrete element model of sea ice is described and then used to investigate the evolution of R in three-dimensional ridges. Changes in R over time are extremely difficult to measure in the Arctic, and therefore this research bridges observational constraints and theoretical assumptions. The final results suggest that, within the constraints of the given discrete element model, a more sudden change in macro-porosity occurs at the initial creation of a ridge than current theory suggests, but thereafter evolution of macro-porosity follows a path similar to what a Coulombic friction model predicts. Approved for public release; distribution is unlimited. Outstanding Thesis Lieutenant, United States Navy http://archive.org/details/threedimensional1094562801 Thesis Arctic Sea ice Naval Postgraduate School: Calhoun Arctic
institution Open Polar
collection Naval Postgraduate School: Calhoun
op_collection_id ftnavalpschool
language unknown
topic discrete element model
sea ice
Arctic
ridge
LAMMPS
spellingShingle discrete element model
sea ice
Arctic
ridge
LAMMPS
Davis, Travis J.
THREE-DIMENSIONAL DISCRETE ELEMENT MODELING OF FIRST-YEAR SEA ICE RIDGES
topic_facet discrete element model
sea ice
Arctic
ridge
LAMMPS
description A three-dimensional discrete element model has been developed to investigate the evolution of particular aspects of pressure ridges in thin, first-year, sea ice. The primary goal of this work is to test one facet of recent theoretical advances in the representation of sea ice thickness in Earth System Models that advocates for the introduction of macro-porosity, R, to the state space of basin-scale sea ice models. Macro-porosity is caused by cavities between fractured sea ice blocks created during the formation of ridges during convergence of ice floes in the Southern and Arctic Oceans. Previously, sea ice thickness in basin-scale sea ice models has been represented by a real thickness distribution, g(h), but new mathematical derivations suggest that this should be replaced in predictive models with a bivariate distribution, g(h, R). In this thesis, a discrete element model of sea ice is described and then used to investigate the evolution of R in three-dimensional ridges. Changes in R over time are extremely difficult to measure in the Arctic, and therefore this research bridges observational constraints and theoretical assumptions. The final results suggest that, within the constraints of the given discrete element model, a more sudden change in macro-porosity occurs at the initial creation of a ridge than current theory suggests, but thereafter evolution of macro-porosity follows a path similar to what a Coulombic friction model predicts. Approved for public release; distribution is unlimited. Outstanding Thesis Lieutenant, United States Navy http://archive.org/details/threedimensional1094562801
author2 Radko, Timour
Roberts, Andrew F.
Oceanography
Turner, Adrian, Los Alamos National Laboratory
format Thesis
author Davis, Travis J.
author_facet Davis, Travis J.
author_sort Davis, Travis J.
title THREE-DIMENSIONAL DISCRETE ELEMENT MODELING OF FIRST-YEAR SEA ICE RIDGES
title_short THREE-DIMENSIONAL DISCRETE ELEMENT MODELING OF FIRST-YEAR SEA ICE RIDGES
title_full THREE-DIMENSIONAL DISCRETE ELEMENT MODELING OF FIRST-YEAR SEA ICE RIDGES
title_fullStr THREE-DIMENSIONAL DISCRETE ELEMENT MODELING OF FIRST-YEAR SEA ICE RIDGES
title_full_unstemmed THREE-DIMENSIONAL DISCRETE ELEMENT MODELING OF FIRST-YEAR SEA ICE RIDGES
title_sort three-dimensional discrete element modeling of first-year sea ice ridges
publisher Monterey, CA; Naval Postgraduate School
publishDate 2019
url https://hdl.handle.net/10945/62801
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_relation NPS Outstanding Theses and Dissertations
31669
https://hdl.handle.net/10945/62801
op_rights This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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