Detection of nonlinear behavior using the Random Decrement Technique

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Resumé

This study investigates how the Random Decrement (RD) technique can be used as an output-only method of detecting nonlinear behavior. The proposed detection method is based on a grouping of the triggering points used in the RD calculation. The grouping is based on properties of the response signal at the triggering points, for instance the slope. Grouping the triggering points from the response of a system exhibiting nonlinear behavior in this way, causes the RD signatures calculated from the different groups of triggering points to have different properties. For a linear system, the grouping does not cause a change in the RD signatures, thus allowing the detection of nonlinear behavior. Linearity is assumed in operational modal analysis (OMA), but this assumption is not always valid, and the detection method proposed here could help confirm or reject the assumption.
OriginalsprogEngelsk
Titel8th International Operational Modal Analysis Conference (IOMAC 2019)
RedaktørerSandro D. R. Amador, Rune Brincker, Evangelos I. Katsanos, Manuel Lopez Aenlle, Pelayo Fernandez
ForlagIOMAC
Publikationsdato2019
Sider421-424
ISBN (Trykt)9781510888333
ISBN (Elektronisk)9788409049004
StatusUdgivet - 2019
Begivenhed8th International Operational Modal Analysis Conference, IOMAC 2019 - Copenhagen, Danmark
Varighed: 13. maj 201915. maj 2019

Konference

Konference8th International Operational Modal Analysis Conference, IOMAC 2019
LandDanmark
ByCopenhagen
Periode13/05/201915/05/2019
SponsorBruel and Kjaer, Gfai Tech, Siemens, Structural Vibration Solutions

Fingeraftryk

detection method
linearity
detection
method
calculation
analysis

Citer dette

Vesterholm, K. K., Brincker, R., & Brandt, A. (2019). Detection of nonlinear behavior using the Random Decrement Technique. I S. D. R. Amador, R. Brincker, E. I. Katsanos, M. Lopez Aenlle, & P. Fernandez (red.), 8th International Operational Modal Analysis Conference (IOMAC 2019) (s. 421-424). IOMAC.
Vesterholm, Karsten Krautwald ; Brincker, Rune ; Brandt, Anders. / Detection of nonlinear behavior using the Random Decrement Technique. 8th International Operational Modal Analysis Conference (IOMAC 2019). red. / Sandro D. R. Amador ; Rune Brincker ; Evangelos I. Katsanos ; Manuel Lopez Aenlle ; Pelayo Fernandez. IOMAC, 2019. s. 421-424
@inproceedings{3d87eb2a19514e4395eb38de1c95ff3c,
title = "Detection of nonlinear behavior using the Random Decrement Technique",
abstract = "This study investigates how the Random Decrement (RD) technique can be used as an output-only method of detecting nonlinear behavior. The proposed detection method is based on a grouping of the triggering points used in the RD calculation. The grouping is based on properties of the response signal at the triggering points, for instance the slope. Grouping the triggering points from the response of a system exhibiting nonlinear behavior in this way, causes the RD signatures calculated from the different groups of triggering points to have different properties. For a linear system, the grouping does not cause a change in the RD signatures, thus allowing the detection of nonlinear behavior. Linearity is assumed in operational modal analysis (OMA), but this assumption is not always valid, and the detection method proposed here could help confirm or reject the assumption.",
author = "Vesterholm, {Karsten Krautwald} and Rune Brincker and Anders Brandt",
year = "2019",
language = "English",
isbn = "9781510888333",
pages = "421--424",
editor = "Amador, {Sandro D. R.} and Rune Brincker and Katsanos, {Evangelos I.} and {Lopez Aenlle}, Manuel and Pelayo Fernandez",
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Vesterholm, KK, Brincker, R & Brandt, A 2019, Detection of nonlinear behavior using the Random Decrement Technique. i SDR Amador, R Brincker, EI Katsanos, M Lopez Aenlle & P Fernandez (red), 8th International Operational Modal Analysis Conference (IOMAC 2019). IOMAC, s. 421-424, 8th International Operational Modal Analysis Conference, IOMAC 2019, Copenhagen, Danmark, 13/05/2019.

Detection of nonlinear behavior using the Random Decrement Technique. / Vesterholm, Karsten Krautwald; Brincker, Rune; Brandt, Anders.

8th International Operational Modal Analysis Conference (IOMAC 2019). red. / Sandro D. R. Amador; Rune Brincker; Evangelos I. Katsanos; Manuel Lopez Aenlle; Pelayo Fernandez. IOMAC, 2019. s. 421-424.

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

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AU - Brincker, Rune

AU - Brandt, Anders

PY - 2019

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N2 - This study investigates how the Random Decrement (RD) technique can be used as an output-only method of detecting nonlinear behavior. The proposed detection method is based on a grouping of the triggering points used in the RD calculation. The grouping is based on properties of the response signal at the triggering points, for instance the slope. Grouping the triggering points from the response of a system exhibiting nonlinear behavior in this way, causes the RD signatures calculated from the different groups of triggering points to have different properties. For a linear system, the grouping does not cause a change in the RD signatures, thus allowing the detection of nonlinear behavior. Linearity is assumed in operational modal analysis (OMA), but this assumption is not always valid, and the detection method proposed here could help confirm or reject the assumption.

AB - This study investigates how the Random Decrement (RD) technique can be used as an output-only method of detecting nonlinear behavior. The proposed detection method is based on a grouping of the triggering points used in the RD calculation. The grouping is based on properties of the response signal at the triggering points, for instance the slope. Grouping the triggering points from the response of a system exhibiting nonlinear behavior in this way, causes the RD signatures calculated from the different groups of triggering points to have different properties. For a linear system, the grouping does not cause a change in the RD signatures, thus allowing the detection of nonlinear behavior. Linearity is assumed in operational modal analysis (OMA), but this assumption is not always valid, and the detection method proposed here could help confirm or reject the assumption.

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SP - 421

EP - 424

BT - 8th International Operational Modal Analysis Conference (IOMAC 2019)

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Vesterholm KK, Brincker R, Brandt A. Detection of nonlinear behavior using the Random Decrement Technique. I Amador SDR, Brincker R, Katsanos EI, Lopez Aenlle M, Fernandez P, red., 8th International Operational Modal Analysis Conference (IOMAC 2019). IOMAC. 2019. s. 421-424