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Aircraft turbulence and gust identification using simulated in-flight data

Davide Balatti, Hamed Haddad Khodaparast Orcid Logo, Michael Friswell, Marinos Manolesos, Andrea Castrichini

Aerospace Science and Technology, Volume: 115

Swansea University Authors: Davide Balatti, Hamed Haddad Khodaparast Orcid Logo, Michael Friswell, Marinos Manolesos

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DOI (Published version): 10.1016/j.ast.2021.106805

Abstract

Gust and turbulence events are of primary importance for the analysis of flight incidents, for the design of gust load alleviation systems and for the calculation of loads in the airframe. Gust and turbulence events cannot be measured directly but they can be obtained through direct or optimisation-...

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Published in: Aerospace Science and Technology
ISSN: 1270-9638
Published: Elsevier BV 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa56864
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spelling 2022-11-01T14:43:21.1719750 v2 56864 2021-05-13 Aircraft turbulence and gust identification using simulated in-flight data 4c58ba20bbabfef44b00b143e96b37e1 Davide Balatti Davide Balatti true false f207b17edda9c4c3ea074cbb7555efc1 0000-0002-3721-4980 Hamed Haddad Khodaparast Hamed Haddad Khodaparast true false 5894777b8f9c6e64bde3568d68078d40 Michael Friswell Michael Friswell true false 44a3e0d351ccd7a8365d5fc7c50c8778 Marinos Manolesos Marinos Manolesos true false 2021-05-13 AERO Gust and turbulence events are of primary importance for the analysis of flight incidents, for the design of gust load alleviation systems and for the calculation of loads in the airframe. Gust and turbulence events cannot be measured directly but they can be obtained through direct or optimisation-based methods. In the direct method the discretisation of the Fredholm Integral equation is associated with an ill conditioned matrix. In this work the effects of regularisation methods including Tikhonov regularisation, Truncated Single Value Decomposition (TSVD), Damped Single Value Decomposition (DSVD) and a recently proposed method using cubic B-spline functions are evaluated for aeroelastic gust identification using in flight measured data. The gust identification methods are tested in the detailed aeroelastic model of FFAST and an equivalent low-fidelity aeroelastic model developed by the authors. In addition, the accuracy required in the model for a reliable identification is discussed. Finally, the identification method based on B-spline functions is tested by simultaneously using both low-fidelity and FFAST aeroelastic models so that the response from the FFAST model is used as measurement data and the equivalent low-fidelity model is used in the identification process. Journal Article Aerospace Science and Technology 115 Elsevier BV 1270-9638 Aeroelasticity, Gust identification, Inverse problem, Regularisation, Cubic B-spline 1 8 2021 2021-08-01 10.1016/j.ast.2021.106805 COLLEGE NANME Aerospace Engineering COLLEGE CODE AERO Swansea University External research funder(s) paid the OA fee (includes OA grants disbursed by the Library) UKRI EP/R006768/1 2022-11-01T14:43:21.1719750 2021-05-13T11:11:52.1140547 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Davide Balatti 1 Hamed Haddad Khodaparast 0000-0002-3721-4980 2 Michael Friswell 3 Marinos Manolesos 4 Andrea Castrichini 5 56864__19997__da684eec919542fcaf3fca1d0f0f8a14.pdf 56864.pdf 2021-05-25T12:29:57.5480914 Output 2179579 application/pdf Version of Record true © 2021 The Author(s). This is an open access article under the CC BY license true eng http://creativecommons.org/licenses/by/4.0/
title Aircraft turbulence and gust identification using simulated in-flight data
spellingShingle Aircraft turbulence and gust identification using simulated in-flight data
Davide Balatti
Hamed Haddad Khodaparast
Michael Friswell
Marinos Manolesos
title_short Aircraft turbulence and gust identification using simulated in-flight data
title_full Aircraft turbulence and gust identification using simulated in-flight data
title_fullStr Aircraft turbulence and gust identification using simulated in-flight data
title_full_unstemmed Aircraft turbulence and gust identification using simulated in-flight data
title_sort Aircraft turbulence and gust identification using simulated in-flight data
author_id_str_mv 4c58ba20bbabfef44b00b143e96b37e1
f207b17edda9c4c3ea074cbb7555efc1
5894777b8f9c6e64bde3568d68078d40
44a3e0d351ccd7a8365d5fc7c50c8778
author_id_fullname_str_mv 4c58ba20bbabfef44b00b143e96b37e1_***_Davide Balatti
f207b17edda9c4c3ea074cbb7555efc1_***_Hamed Haddad Khodaparast
5894777b8f9c6e64bde3568d68078d40_***_Michael Friswell
44a3e0d351ccd7a8365d5fc7c50c8778_***_Marinos Manolesos
author Davide Balatti
Hamed Haddad Khodaparast
Michael Friswell
Marinos Manolesos
author2 Davide Balatti
Hamed Haddad Khodaparast
Michael Friswell
Marinos Manolesos
Andrea Castrichini
format Journal article
container_title Aerospace Science and Technology
container_volume 115
publishDate 2021
institution Swansea University
issn 1270-9638
doi_str_mv 10.1016/j.ast.2021.106805
publisher Elsevier BV
college_str Faculty of Science and Engineering
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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 1
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description Gust and turbulence events are of primary importance for the analysis of flight incidents, for the design of gust load alleviation systems and for the calculation of loads in the airframe. Gust and turbulence events cannot be measured directly but they can be obtained through direct or optimisation-based methods. In the direct method the discretisation of the Fredholm Integral equation is associated with an ill conditioned matrix. In this work the effects of regularisation methods including Tikhonov regularisation, Truncated Single Value Decomposition (TSVD), Damped Single Value Decomposition (DSVD) and a recently proposed method using cubic B-spline functions are evaluated for aeroelastic gust identification using in flight measured data. The gust identification methods are tested in the detailed aeroelastic model of FFAST and an equivalent low-fidelity aeroelastic model developed by the authors. In addition, the accuracy required in the model for a reliable identification is discussed. Finally, the identification method based on B-spline functions is tested by simultaneously using both low-fidelity and FFAST aeroelastic models so that the response from the FFAST model is used as measurement data and the equivalent low-fidelity model is used in the identification process.
published_date 2021-08-01T04:12:09Z
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