Thermal Diffusivity Identification of Distributed Parameter Systems to Sea Ice
A method of optimal control is presented as a numerical tool for solving the sea ice heat transfer problem governed by a parabolic partial differential equation. Taken the deviation between the calculated ice temperature and the measurements as the performance criterion, an optimal control model of...
Published in: | Journal of Applied Mathematics |
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Main Authors: | , , , , |
Format: | Text |
Language: | English |
Published: |
Hindawi Publishing Corporation
2013
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Subjects: | |
Online Access: | http://projecteuclid.org/euclid.jam/1394807779 https://doi.org/10.1155/2013/760378 |
_version_ | 1821703845309317120 |
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author | Shi, Liqiong Li, Zhijun Feng, Enmin Bai, Yila Yang, Yu |
author_facet | Shi, Liqiong Li, Zhijun Feng, Enmin Bai, Yila Yang, Yu |
author_sort | Shi, Liqiong |
collection | Project Euclid (Cornell University Library) |
container_start_page | 1 |
container_title | Journal of Applied Mathematics |
container_volume | 2013 |
description | A method of optimal control is presented as a numerical tool for solving the sea ice heat transfer problem governed by a parabolic partial differential equation. Taken the deviation between the calculated ice temperature and the measurements as the performance criterion, an optimal control model of distributed parameter systems with specific constraints of thermal properties of sea ice was proposed to determine the thermal diffusivity of sea ice. Based on sea ice physical processes, the parameterization of the thermal diffusivity was derived through field data. The simulation results illustrated that the identified parameterization of the thermal diffusivity is reasonably effective in sea ice thermodynamics. The direct relation between the thermal diffusivity of sea ice and ice porosity is physically significant and can considerably reduce the computational errors. The successful application of this method also explained that the optimal control model of distributed parameter systems in conjunction with the engineering background has great potential in dealing with practical problems. |
format | Text |
genre | Sea ice |
genre_facet | Sea ice |
id | ftculeuclid:oai:CULeuclid:euclid.jam/1394807779 |
institution | Open Polar |
language | English |
op_collection_id | ftculeuclid |
op_container_end_page | 8 |
op_doi | https://doi.org/10.1155/2013/760378 |
op_relation | 1110-757X 1687-0042 |
op_rights | Copyright 2013 Hindawi Publishing Corporation |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | openpolar |
spelling | ftculeuclid:oai:CULeuclid:euclid.jam/1394807779 2025-01-17T00:41:50+00:00 Thermal Diffusivity Identification of Distributed Parameter Systems to Sea Ice Shi, Liqiong Li, Zhijun Feng, Enmin Bai, Yila Yang, Yu 2013 application/pdf http://projecteuclid.org/euclid.jam/1394807779 https://doi.org/10.1155/2013/760378 en eng Hindawi Publishing Corporation 1110-757X 1687-0042 Copyright 2013 Hindawi Publishing Corporation Text 2013 ftculeuclid https://doi.org/10.1155/2013/760378 2018-10-06T12:44:50Z A method of optimal control is presented as a numerical tool for solving the sea ice heat transfer problem governed by a parabolic partial differential equation. Taken the deviation between the calculated ice temperature and the measurements as the performance criterion, an optimal control model of distributed parameter systems with specific constraints of thermal properties of sea ice was proposed to determine the thermal diffusivity of sea ice. Based on sea ice physical processes, the parameterization of the thermal diffusivity was derived through field data. The simulation results illustrated that the identified parameterization of the thermal diffusivity is reasonably effective in sea ice thermodynamics. The direct relation between the thermal diffusivity of sea ice and ice porosity is physically significant and can considerably reduce the computational errors. The successful application of this method also explained that the optimal control model of distributed parameter systems in conjunction with the engineering background has great potential in dealing with practical problems. Text Sea ice Project Euclid (Cornell University Library) Journal of Applied Mathematics 2013 1 8 |
spellingShingle | Shi, Liqiong Li, Zhijun Feng, Enmin Bai, Yila Yang, Yu Thermal Diffusivity Identification of Distributed Parameter Systems to Sea Ice |
title | Thermal Diffusivity Identification of Distributed Parameter Systems to Sea Ice |
title_full | Thermal Diffusivity Identification of Distributed Parameter Systems to Sea Ice |
title_fullStr | Thermal Diffusivity Identification of Distributed Parameter Systems to Sea Ice |
title_full_unstemmed | Thermal Diffusivity Identification of Distributed Parameter Systems to Sea Ice |
title_short | Thermal Diffusivity Identification of Distributed Parameter Systems to Sea Ice |
title_sort | thermal diffusivity identification of distributed parameter systems to sea ice |
url | http://projecteuclid.org/euclid.jam/1394807779 https://doi.org/10.1155/2013/760378 |