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...
Published in: | Journal of Offshore Mechanics and Arctic Engineering |
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Language: | English |
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American Society of Mechanical Engineers
2022
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Online Access: | https://doi.org/10.1115/1.4054658 http://dspace.lib.cranfield.ac.uk/handle/1826/18006 |
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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 |