Details
Original language | English |
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Title of host publication | Nonlinear structures and systems, volume 1 |
Subtitle of host publication | Proceedings of the 37th IMAC, a conference and exposition on structural dynamics 2019 |
Editors | Gaetan Kerschen, M.R.W. Brake, Ludovic Renson |
Place of Publication | Cham |
Publisher | Springer Verlag |
Pages | 217-220 |
Number of pages | 4 |
ISBN (electronic) | 9783030123918 |
ISBN (print) | 9783030123901 |
Publication status | Published - 29 Jun 2019 |
Event | 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019 - Orlando, United States Duration: 28 Jan 2019 → 31 Jan 2019 |
Publication series
Name | Conference Proceedings of the Society for Experimental Mechanics Series |
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ISSN (Print) | 2191-5644 |
ISSN (electronic) | 2191-5652 |
Abstract
System identification is a key tool to gather information about dynamical structures. In the last decades, important steps have been made to perform this task in the presence of localized nonlinearities. However, the continual interest in improving structural performance has created the need of designing light and flexible elements in several engineering fields. These elements are usually characterized by moderate and large deformations, exhibiting distributed nonlinearities. System identification of structures with distributed nonlinear features remains particularly challenging, especially when dealing with experimental data. This work proposes a method to perform such a task, relying on a convenient basis reduction of the measured signals. The identification is then performed using the nonlinear subspace identification method (NSI) in the reduced domain together with a closed-form nonlinear description. This methodology is validated on an experimental structure, consisting of a very thin steel beam that is clamped at both ends. Excited with a multisine, the beam undergoes large amplitude oscillations. A final objective of the identification is to exploit its response through the correct identification of the parameters that define the nonlinearity. Results show a high level of accuracy, which validates the effectiveness of the methodology and paves the way toward the identification of more complex real-life structures exhibiting large deformations.
Keywords
- Geometrical nonlinearity, Large deformation, Nonlinear beam, Nonlinear system identification, Subspace identification
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
- Engineering(all)
- Computational Mechanics
- Engineering(all)
- Mechanical Engineering
Cite this
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Nonlinear structures and systems, volume 1: Proceedings of the 37th IMAC, a conference and exposition on structural dynamics 2019. ed. / Gaetan Kerschen; M.R.W. Brake; Ludovic Renson. Cham: Springer Verlag, 2019. p. 217-220 (Conference Proceedings of the Society for Experimental Mechanics Series).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Dynamics of geometrically-nonlinear beam structures, part 2
T2 - 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019
AU - Anastasio, D.
AU - Noël, J. P.
AU - Kerschen, G.
AU - Marchesiello, S.
AU - Häfele, J.
AU - Gebhardt, C. G.
AU - Rolfes, R.
AU - Dietrich, J.
PY - 2019/6/29
Y1 - 2019/6/29
N2 - System identification is a key tool to gather information about dynamical structures. In the last decades, important steps have been made to perform this task in the presence of localized nonlinearities. However, the continual interest in improving structural performance has created the need of designing light and flexible elements in several engineering fields. These elements are usually characterized by moderate and large deformations, exhibiting distributed nonlinearities. System identification of structures with distributed nonlinear features remains particularly challenging, especially when dealing with experimental data. This work proposes a method to perform such a task, relying on a convenient basis reduction of the measured signals. The identification is then performed using the nonlinear subspace identification method (NSI) in the reduced domain together with a closed-form nonlinear description. This methodology is validated on an experimental structure, consisting of a very thin steel beam that is clamped at both ends. Excited with a multisine, the beam undergoes large amplitude oscillations. A final objective of the identification is to exploit its response through the correct identification of the parameters that define the nonlinearity. Results show a high level of accuracy, which validates the effectiveness of the methodology and paves the way toward the identification of more complex real-life structures exhibiting large deformations.
AB - System identification is a key tool to gather information about dynamical structures. In the last decades, important steps have been made to perform this task in the presence of localized nonlinearities. However, the continual interest in improving structural performance has created the need of designing light and flexible elements in several engineering fields. These elements are usually characterized by moderate and large deformations, exhibiting distributed nonlinearities. System identification of structures with distributed nonlinear features remains particularly challenging, especially when dealing with experimental data. This work proposes a method to perform such a task, relying on a convenient basis reduction of the measured signals. The identification is then performed using the nonlinear subspace identification method (NSI) in the reduced domain together with a closed-form nonlinear description. This methodology is validated on an experimental structure, consisting of a very thin steel beam that is clamped at both ends. Excited with a multisine, the beam undergoes large amplitude oscillations. A final objective of the identification is to exploit its response through the correct identification of the parameters that define the nonlinearity. Results show a high level of accuracy, which validates the effectiveness of the methodology and paves the way toward the identification of more complex real-life structures exhibiting large deformations.
KW - Geometrical nonlinearity
KW - Large deformation
KW - Nonlinear beam
KW - Nonlinear system identification
KW - Subspace identification
UR - http://www.scopus.com/inward/record.url?scp=85070739721&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-12391-8_29
DO - 10.1007/978-3-030-12391-8_29
M3 - Conference contribution
AN - SCOPUS:85070739721
SN - 9783030123901
T3 - Conference Proceedings of the Society for Experimental Mechanics Series
SP - 217
EP - 220
BT - Nonlinear structures and systems, volume 1
A2 - Kerschen, Gaetan
A2 - Brake, M.R.W.
A2 - Renson, Ludovic
PB - Springer Verlag
CY - Cham
Y2 - 28 January 2019 through 31 January 2019
ER -