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Model updating strategy for structures with localised nonlinearities using frequency response measurements

Xing Wang, Thomas L. Hill, Simon A. Neild, Alexander Shaw Orcid Logo, Hamed Haddad Khodaparast Orcid Logo, Michael Friswell

Mechanical Systems and Signal Processing, Volume: 100, Pages: 940 - 961

Swansea University Authors: Alexander Shaw Orcid Logo, Hamed Haddad Khodaparast Orcid Logo, Michael Friswell

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DOI (Published version): 10.1016/j.ymssp.2017.08.004

Abstract

This paper proposes a model updating strategy for localised nonlinear structures. It utilises an initial finite-element (FE) model of the structure and primary harmonic response data taken from low and high amplitude excitations. The underlying linear part of the FE model is first updated using low-...

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Published in: Mechanical Systems and Signal Processing
ISSN: 0888-3270
Published: 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa34949
first_indexed 2017-08-21T18:50:38Z
last_indexed 2020-10-22T02:45:51Z
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spelling 2020-10-21T14:04:26.3645597 v2 34949 2017-08-21 Model updating strategy for structures with localised nonlinearities using frequency response measurements 10cb5f545bc146fba9a542a1d85f2dea 0000-0002-7521-827X Alexander Shaw Alexander Shaw true false f207b17edda9c4c3ea074cbb7555efc1 0000-0002-3721-4980 Hamed Haddad Khodaparast Hamed Haddad Khodaparast true false 5894777b8f9c6e64bde3568d68078d40 Michael Friswell Michael Friswell true false 2017-08-21 ACEM This paper proposes a model updating strategy for localised nonlinear structures. It utilises an initial finite-element (FE) model of the structure and primary harmonic response data taken from low and high amplitude excitations. The underlying linear part of the FE model is first updated using low-amplitude test data with established techniques. Then, using this linear FE model, the nonlinear elements are localised, characterised, and quantified with primary harmonic response data measured under stepped-sine or swept-sine excitations. Finally, the resulting model is validated by comparing the analytical predictions with both the measured responses used in the updating and with additional test data. The proposed strategy is applied to a clamped beam with a nonlinear mechanism and good agreements between the analytical predictions and measured responses are achieved. Discussions on issues of damping estimation and dealing with data from amplitude-varying force input in the updating process are also provided. Journal Article Mechanical Systems and Signal Processing 100 940 961 0888-3270 Nonlinear model updating; Localised nonlinearities; Frequency response measurement 1 2 2018 2018-02-01 10.1016/j.ymssp.2017.08.004 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2020-10-21T14:04:26.3645597 2017-08-21T14:58:00.0602127 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Xing Wang 1 Thomas L. Hill 2 Simon A. Neild 3 Alexander Shaw 0000-0002-7521-827X 4 Hamed Haddad Khodaparast 0000-0002-3721-4980 5 Michael Friswell 6 0034949-22082017105502.pdf wang2017(6).pdf 2017-08-22T10:55:02.2230000 Output 1774869 application/pdf Accepted Manuscript true 2018-08-19T00:00:00.0000000 true eng
title Model updating strategy for structures with localised nonlinearities using frequency response measurements
spellingShingle Model updating strategy for structures with localised nonlinearities using frequency response measurements
Alexander Shaw
Hamed Haddad Khodaparast
Michael Friswell
title_short Model updating strategy for structures with localised nonlinearities using frequency response measurements
title_full Model updating strategy for structures with localised nonlinearities using frequency response measurements
title_fullStr Model updating strategy for structures with localised nonlinearities using frequency response measurements
title_full_unstemmed Model updating strategy for structures with localised nonlinearities using frequency response measurements
title_sort Model updating strategy for structures with localised nonlinearities using frequency response measurements
author_id_str_mv 10cb5f545bc146fba9a542a1d85f2dea
f207b17edda9c4c3ea074cbb7555efc1
5894777b8f9c6e64bde3568d68078d40
author_id_fullname_str_mv 10cb5f545bc146fba9a542a1d85f2dea_***_Alexander Shaw
f207b17edda9c4c3ea074cbb7555efc1_***_Hamed Haddad Khodaparast
5894777b8f9c6e64bde3568d68078d40_***_Michael Friswell
author Alexander Shaw
Hamed Haddad Khodaparast
Michael Friswell
author2 Xing Wang
Thomas L. Hill
Simon A. Neild
Alexander Shaw
Hamed Haddad Khodaparast
Michael Friswell
format Journal article
container_title Mechanical Systems and Signal Processing
container_volume 100
container_start_page 940
publishDate 2018
institution Swansea University
issn 0888-3270
doi_str_mv 10.1016/j.ymssp.2017.08.004
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 1
active_str 0
description This paper proposes a model updating strategy for localised nonlinear structures. It utilises an initial finite-element (FE) model of the structure and primary harmonic response data taken from low and high amplitude excitations. The underlying linear part of the FE model is first updated using low-amplitude test data with established techniques. Then, using this linear FE model, the nonlinear elements are localised, characterised, and quantified with primary harmonic response data measured under stepped-sine or swept-sine excitations. Finally, the resulting model is validated by comparing the analytical predictions with both the measured responses used in the updating and with additional test data. The proposed strategy is applied to a clamped beam with a nonlinear mechanism and good agreements between the analytical predictions and measured responses are achieved. Discussions on issues of damping estimation and dealing with data from amplitude-varying force input in the updating process are also provided.
published_date 2018-02-01T04:15:12Z
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score 11.04748

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