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Updating of aerodynamic reduced order models generated using computational fluid dynamics

LM Griffiths, AL Gaitonde, DP Jones, MI Friswell, Michael Friswell

Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, Start page: 095441001771669

Swansea University Author: Michael Friswell

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DOI (Published version): 10.1177/0954410017716698

Abstract

Reduced order models of computational fluid dynamics codes have been developed to decrease computational costs; however, each reduced order model has a limited range of validity based on the data used in its construction. Further, like the computational fluid dynamics from which it is derived, such...

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Published in: Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
ISSN: 0954-4100 2041-3025
Published: 2018
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa39544
first_indexed 2018-04-23T13:59:46Z
last_indexed 2018-08-17T14:50:14Z
id cronfa39544
recordtype SURis
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spelling 2018-08-17T11:59:06.0496008 v2 39544 2018-04-23 Updating of aerodynamic reduced order models generated using computational fluid dynamics 5894777b8f9c6e64bde3568d68078d40 Michael Friswell Michael Friswell true false 2018-04-23 Reduced order models of computational fluid dynamics codes have been developed to decrease computational costs; however, each reduced order model has a limited range of validity based on the data used in its construction. Further, like the computational fluid dynamics from which it is derived, such models exhibit differences from experimental data due to uncertainty in boundary conditions and numerical accuracy. Model updating provides the opportunity to use small amounts of additional data to modify the behaviour of a reduced order model, which means that the range of validity of the reduced order model can be extended. Whilst here computational fluid dynamics data have been used for updating, the approach offers the possibility that experimental data can be used in future. In this work, the baseline reduced order models are constructed using the Eigensystem realisation algorithm and the steps used to update these models are given in detail. The methods developed are then applied to remove the effects of wind tunnel walls and to include viscous effects. Journal Article Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 095441001771669 0954-4100 2041-3025 Updating, reduced order models, computational fluid dynamics, Euler, Reynolds-averaged Navier–Stokes 1 7 2018 2018-07-01 10.1177/0954410017716698 COLLEGE NANME COLLEGE CODE Swansea University 2018-08-17T11:59:06.0496008 2018-04-23T08:35:06.9333906 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised LM Griffiths 1 AL Gaitonde 2 DP Jones 3 MI Friswell 4 Michael Friswell 5
title Updating of aerodynamic reduced order models generated using computational fluid dynamics
spellingShingle Updating of aerodynamic reduced order models generated using computational fluid dynamics
Michael Friswell
title_short Updating of aerodynamic reduced order models generated using computational fluid dynamics
title_full Updating of aerodynamic reduced order models generated using computational fluid dynamics
title_fullStr Updating of aerodynamic reduced order models generated using computational fluid dynamics
title_full_unstemmed Updating of aerodynamic reduced order models generated using computational fluid dynamics
title_sort Updating of aerodynamic reduced order models generated using computational fluid dynamics
author_id_str_mv 5894777b8f9c6e64bde3568d68078d40
author_id_fullname_str_mv 5894777b8f9c6e64bde3568d68078d40_***_Michael Friswell
author Michael Friswell
author2 LM Griffiths
AL Gaitonde
DP Jones
MI Friswell
Michael Friswell
format Journal article
container_title Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
container_start_page 095441001771669
publishDate 2018
institution Swansea University
issn 0954-4100
2041-3025
doi_str_mv 10.1177/0954410017716698
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 Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 0
active_str 0
description Reduced order models of computational fluid dynamics codes have been developed to decrease computational costs; however, each reduced order model has a limited range of validity based on the data used in its construction. Further, like the computational fluid dynamics from which it is derived, such models exhibit differences from experimental data due to uncertainty in boundary conditions and numerical accuracy. Model updating provides the opportunity to use small amounts of additional data to modify the behaviour of a reduced order model, which means that the range of validity of the reduced order model can be extended. Whilst here computational fluid dynamics data have been used for updating, the approach offers the possibility that experimental data can be used in future. In this work, the baseline reduced order models are constructed using the Eigensystem realisation algorithm and the steps used to update these models are given in detail. The methods developed are then applied to remove the effects of wind tunnel walls and to include viscous effects.
published_date 2018-07-01T08:34:20Z
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score 11.059593

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