Scenario Based Approach for Load Identification

Michael Vigsø; Marius Tarpø; Jannick Enøe Hansen; Rune Brincker; Christos T. Georgakis

doi:10.1007/978-3-319-74421-6_15

Scenario Based Approach for Load Identification

Michael Vigsø, Marius Tarpø, Jannick Enøe Hansen, Rune Brincker, Christos T. Georgakis

Aarhus University

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

In output only analysis the load identification has been a puzzle for several years. Different techniques have been purposed to cope with the inversion problem that lies within this field. However it has been shown, that most methods struggle to obtain robust and consistent results in cases of modal truncation and noise contaminated signals. In the light of these challenges, a scenario based method is proposed. This approach utilizes model updating along with mode shape expansion to obtain a reliable numerical model of the given structure. Then, by evaluating a series of rational load scenarios, it is possible to obtain a reasonable input identification – both the spatial distribution and the temporal variation of the load. The method is demonstrated numerically and experimentally.

Original language	English
Title of host publication	Dynamics of Civil Structures
Editors	Shamim Pakzad
Volume	2
Publisher	Springer
Publication date	2018
Pages	117-125
ISBN (Print)	978-3-319-74420-9
ISBN (Electronic)	978-3-319-74420-9
DOIs	https://doi.org/10.1007/978-3-319-74421-6_15
Publication status	Published - 2018
Event	36th International Modal Analysis Conference - Orlando, United States Duration: 12 Feb 2018 → 15 Feb 2018 Conference number: 36

Conference

Conference	36th International Modal Analysis Conference
Number	36
Country/Territory	United States
City	Orlando
Period	12/02/2018 → 15/02/2018

Series	Conference Proceedings of the Society for Experimental Mechanics Series
Volume	2
ISSN	2191-5644

Keywords

System identification
Operational modal analysis
Response estimation
Modal truncation
FE updating

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10.1007/978-3-319-74421-6_15

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title = "Scenario Based Approach for Load Identification",

abstract = "In output only analysis the load identification has been a puzzle for several years. Different techniques have been purposed to cope with the inversion problem that lies within this field. However it has been shown, that most methods struggle to obtain robust and consistent results in cases of modal truncation and noise contaminated signals. In the light of these challenges, a scenario based method is proposed. This approach utilizes model updating along with mode shape expansion to obtain a reliable numerical model of the given structure. Then, by evaluating a series of rational load scenarios, it is possible to obtain a reasonable input identification – both the spatial distribution and the temporal variation of the load. The method is demonstrated numerically and experimentally.",

keywords = "System identification, Operational modal analysis, Response estimation, Modal truncation, FE updating",

author = "Michael Vigs{\o} and Marius Tarp{\o} and Hansen, {Jannick En{\o}e} and Rune Brincker and Georgakis, {Christos T.}",

year = "2018",

doi = "10.1007/978-3-319-74421-6_15",

language = "English",

isbn = "978-3-319-74420-9",

volume = "2",

series = "Conference Proceedings of the Society for Experimental Mechanics Series",

publisher = "Springer",

pages = "117--125",

editor = "Pakzad, {Shamim }",

booktitle = "Dynamics of Civil Structures",

note = "36th International Modal Analysis Conference, IMAC XXXVI ; Conference date: 12-02-2018 Through 15-02-2018",

}

Vigsø, M, Tarpø, M, Hansen, JE, Brincker, R & Georgakis, CT 2018, Scenario Based Approach for Load Identification. in S Pakzad (ed.), Dynamics of Civil Structures. vol. 2, Springer, Conference Proceedings of the Society for Experimental Mechanics Series, vol. 2, pp. 117-125, 36th International Modal Analysis Conference, Orlando, Florida, United States, 12/02/2018. https://doi.org/10.1007/978-3-319-74421-6_15

Scenario Based Approach for Load Identification. / Vigsø, Michael; Tarpø, Marius; Hansen, Jannick Enøe et al.
Dynamics of Civil Structures. ed. / Shamim Pakzad. Vol. 2 Springer, 2018. p. 117-125 (Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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T1 - Scenario Based Approach for Load Identification

AU - Vigsø, Michael

AU - Tarpø, Marius

AU - Hansen, Jannick Enøe

AU - Brincker, Rune

AU - Georgakis, Christos T.

N1 - Conference code: 36

PY - 2018

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N2 - In output only analysis the load identification has been a puzzle for several years. Different techniques have been purposed to cope with the inversion problem that lies within this field. However it has been shown, that most methods struggle to obtain robust and consistent results in cases of modal truncation and noise contaminated signals. In the light of these challenges, a scenario based method is proposed. This approach utilizes model updating along with mode shape expansion to obtain a reliable numerical model of the given structure. Then, by evaluating a series of rational load scenarios, it is possible to obtain a reasonable input identification – both the spatial distribution and the temporal variation of the load. The method is demonstrated numerically and experimentally.

AB - In output only analysis the load identification has been a puzzle for several years. Different techniques have been purposed to cope with the inversion problem that lies within this field. However it has been shown, that most methods struggle to obtain robust and consistent results in cases of modal truncation and noise contaminated signals. In the light of these challenges, a scenario based method is proposed. This approach utilizes model updating along with mode shape expansion to obtain a reliable numerical model of the given structure. Then, by evaluating a series of rational load scenarios, it is possible to obtain a reasonable input identification – both the spatial distribution and the temporal variation of the load. The method is demonstrated numerically and experimentally.

KW - System identification

KW - Operational modal analysis

KW - Response estimation

KW - Modal truncation

KW - FE updating

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DO - 10.1007/978-3-319-74421-6_15

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SN - 978-3-319-74420-9

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T3 - Conference Proceedings of the Society for Experimental Mechanics Series

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Y2 - 12 February 2018 through 15 February 2018

ER -

Scenario Based Approach for Load Identification

Abstract

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Keywords

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