New tools to generate realistic ice floe fields for computational models

Global warming has extensively transformed Arctic sea ice from continuous level ice coverage to unconsolidated ice floe fields. Whilst the ice floes have a mixture of different sizes and their locations are randomly distributed, contemporary computational models lack effective methods to generate fl...

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Bibliographic Details
Published in:Journal of Offshore Mechanics and Arctic Engineering
Main Authors: Huang, Luofeng, Igrec, Bojan, Thomas, Giles
Format: Article in Journal/Newspaper
Language:English
Published: American Society of Mechanical Engineers 2022
Subjects:
Ice
Online Access:https://doi.org/10.1115/1.4054658
http://dspace.lib.cranfield.ac.uk/handle/1826/18006
id ftcranfield:oai:dspace.lib.cranfield.ac.uk:1826/18006
record_format openpolar
spelling ftcranfield:oai:dspace.lib.cranfield.ac.uk:1826/18006 2023-05-15T14:25:21+02:00 New tools to generate realistic ice floe fields for computational models Huang, Luofeng Igrec, Bojan Thomas, Giles 2022-05-26 https://doi.org/10.1115/1.4054658 http://dspace.lib.cranfield.ac.uk/handle/1826/18006 en eng American Society of Mechanical Engineers Huang L, Igrec B, Thomas G. (2022) New tools to generate realistic ice floe fields for computational models, Journal of Offshore Mechanics and Arctic Engineering, Available online 26 May 2022, Paper number OMAE-21-1172 0892-7219 https://doi.org/10.1115/1.4054658 http://dspace.lib.cranfield.ac.uk/handle/1826/18006 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ CC-BY Computer simulation Ice Ice floes Ships Generators Shapes Arctic Ocean Climate change Genetic algorithms Modeling Offshore structures Article 2022 ftcranfield https://doi.org/10.1115/1.4054658 2022-06-16T22:37:18Z Global warming has extensively transformed Arctic sea ice from continuous level ice coverage to unconsolidated ice floe fields. Whilst the ice floes have a mixture of different sizes and their locations are randomly distributed, contemporary computational models lack effective methods to generate floe fields with such a natural pattern. This work introduces two original tools that can generate realistic ice floe fields for computational models. They are a sequential generator that sequentially handles ice floes one by one, and a genetic generator based upon a genetic algorithm. Demonstration of the tools is given, presenting samples of generating various shapes of floes and arbitrary mixtures of different shapes. Furthermore, an example is provided that combines the generated floe field with computational work modelling a ship transiting in ice floes. In addition, the source code of the tools is sharable with the public. Article in Journal/Newspaper Arctic Arctic Arctic Ocean Climate change Global warming Sea ice Cranfield University: Collection of E-Research - CERES Arctic Arctic Ocean Journal of Offshore Mechanics and Arctic Engineering 144 4
institution Open Polar
collection Cranfield University: Collection of E-Research - CERES
op_collection_id ftcranfield
language English
topic Computer simulation
Ice
Ice floes
Ships
Generators
Shapes
Arctic Ocean
Climate change
Genetic algorithms
Modeling
Offshore structures
spellingShingle Computer simulation
Ice
Ice floes
Ships
Generators
Shapes
Arctic Ocean
Climate change
Genetic algorithms
Modeling
Offshore structures
Huang, Luofeng
Igrec, Bojan
Thomas, Giles
New tools to generate realistic ice floe fields for computational models
topic_facet Computer simulation
Ice
Ice floes
Ships
Generators
Shapes
Arctic Ocean
Climate change
Genetic algorithms
Modeling
Offshore structures
description Global warming has extensively transformed Arctic sea ice from continuous level ice coverage to unconsolidated ice floe fields. Whilst the ice floes have a mixture of different sizes and their locations are randomly distributed, contemporary computational models lack effective methods to generate floe fields with such a natural pattern. This work introduces two original tools that can generate realistic ice floe fields for computational models. They are a sequential generator that sequentially handles ice floes one by one, and a genetic generator based upon a genetic algorithm. Demonstration of the tools is given, presenting samples of generating various shapes of floes and arbitrary mixtures of different shapes. Furthermore, an example is provided that combines the generated floe field with computational work modelling a ship transiting in ice floes. In addition, the source code of the tools is sharable with the public.
format Article in Journal/Newspaper
author Huang, Luofeng
Igrec, Bojan
Thomas, Giles
author_facet Huang, Luofeng
Igrec, Bojan
Thomas, Giles
author_sort Huang, Luofeng
title New tools to generate realistic ice floe fields for computational models
title_short New tools to generate realistic ice floe fields for computational models
title_full New tools to generate realistic ice floe fields for computational models
title_fullStr New tools to generate realistic ice floe fields for computational models
title_full_unstemmed New tools to generate realistic ice floe fields for computational models
title_sort new tools to generate realistic ice floe fields for computational models
publisher American Society of Mechanical Engineers
publishDate 2022
url https://doi.org/10.1115/1.4054658
http://dspace.lib.cranfield.ac.uk/handle/1826/18006
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic
Arctic Ocean
Climate change
Global warming
Sea ice
genre_facet Arctic
Arctic
Arctic Ocean
Climate change
Global warming
Sea ice
op_relation Huang L, Igrec B, Thomas G. (2022) New tools to generate realistic ice floe fields for computational models, Journal of Offshore Mechanics and Arctic Engineering, Available online 26 May 2022, Paper number OMAE-21-1172
0892-7219
https://doi.org/10.1115/1.4054658
http://dspace.lib.cranfield.ac.uk/handle/1826/18006
op_rights Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
op_rightsnorm CC-BY
op_doi https://doi.org/10.1115/1.4054658
container_title Journal of Offshore Mechanics and Arctic Engineering
container_volume 144
container_issue 4
_version_ 1766297758233264128