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A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA)

Rossella Arcucci, César Quilodrán Casas, Dunhui Xiao Orcid Logo, Laetitia Mottet, Fangxin Fang, Pin Wu, Christopher Pain, Yi-Ke Guo

Parallel Computing: Technology Trends, Volume: 36, Pages: 189 - 198

Swansea University Author: Dunhui Xiao Orcid Logo

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DOI (Published version): 10.3233/apc200040

Abstract

We present a Domain Decomposition Reduced Order Data Assimilation (DD-RODA) model which combines Non-Intrusive Reduced Order Modelling (NIROM) method with a Data Assimilation (DA) model. The NIROM is defined on a partition of the domain in sub-domains with overlapping regions and the DA is defined o...

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Published in: Parallel Computing: Technology Trends
ISBN: 978-1-64368-070-5 978-1-64368-071-2
ISSN: 0927-5452 1879-808X
Published: IOS Press 2020
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URI: https://cronfa.swan.ac.uk/Record/cronfa53995
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spelling 2022-06-15T16:28:24.1004352 v2 53995 2020-04-20 A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA) 62c69b98cbcdc9142622d4f398fdab97 0000-0003-2461-523X Dunhui Xiao Dunhui Xiao true false 2020-04-20 AERO We present a Domain Decomposition Reduced Order Data Assimilation (DD-RODA) model which combines Non-Intrusive Reduced Order Modelling (NIROM) method with a Data Assimilation (DA) model. The NIROM is defined on a partition of the domain in sub-domains with overlapping regions and the DA is defined on a partition of the domain in sub-domains without overlapping regions. This choice allows to avoid communications among the processes during the Data Assimilation phase. However, during the balance phase, the model exploits the domain decomposition implemented in DD-NIROM which balances the results among the processes exploiting overlapping regions. The model is applied to the pollutant dispersion within an urban environment. Simulations are performed using the open-source, finite-element, fluid dynamics model Fluidity. Journal Article Parallel Computing: Technology Trends 36 189 198 IOS Press 978-1-64368-070-5 978-1-64368-071-2 0927-5452 1879-808X Numerical simulations, Reduced Order Models, Data Assimilation, Domain Decomposition 1 4 2020 2020-04-01 10.3233/apc200040 COLLEGE NANME Aerospace Engineering COLLEGE CODE AERO Swansea University 2022-06-15T16:28:24.1004352 2020-04-20T14:05:43.8650295 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering Rossella Arcucci 1 César Quilodrán Casas 2 Dunhui Xiao 0000-0003-2461-523X 3 Laetitia Mottet 4 Fangxin Fang 5 Pin Wu 6 Christopher Pain 7 Yi-Ke Guo 8 53995__17098__5baa8956ba654e72b467d499f24d5e09.pdf 53995.pdf 2020-04-20T14:11:53.7201285 Output 930901 application/pdf Version of Record true Released under the terms of a Creative Commons Attribution Non-Commercial License 4.0 (CC-BY-NC). true eng https://creativecommons.org/licenses/by-nc/4.0/deed.en_US
title A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA)
spellingShingle A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA)
Dunhui Xiao
title_short A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA)
title_full A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA)
title_fullStr A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA)
title_full_unstemmed A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA)
title_sort A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA)
author_id_str_mv 62c69b98cbcdc9142622d4f398fdab97
author_id_fullname_str_mv 62c69b98cbcdc9142622d4f398fdab97_***_Dunhui Xiao
author Dunhui Xiao
author2 Rossella Arcucci
César Quilodrán Casas
Dunhui Xiao
Laetitia Mottet
Fangxin Fang
Pin Wu
Christopher Pain
Yi-Ke Guo
format Journal article
container_title Parallel Computing: Technology Trends
container_volume 36
container_start_page 189
publishDate 2020
institution Swansea University
isbn 978-1-64368-070-5
978-1-64368-071-2
issn 0927-5452
1879-808X
doi_str_mv 10.3233/apc200040
publisher IOS Press
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering
document_store_str 1
active_str 0
description We present a Domain Decomposition Reduced Order Data Assimilation (DD-RODA) model which combines Non-Intrusive Reduced Order Modelling (NIROM) method with a Data Assimilation (DA) model. The NIROM is defined on a partition of the domain in sub-domains with overlapping regions and the DA is defined on a partition of the domain in sub-domains without overlapping regions. This choice allows to avoid communications among the processes during the Data Assimilation phase. However, during the balance phase, the model exploits the domain decomposition implemented in DD-NIROM which balances the results among the processes exploiting overlapping regions. The model is applied to the pollutant dispersion within an urban environment. Simulations are performed using the open-source, finite-element, fluid dynamics model Fluidity.
published_date 2020-04-01T04:07:16Z
_version_ 1763753524335738880
score 11.036706

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