Identification of stick-slip friction in single-degree of freedom system using the random decrement technique

Karsten Krautwald Vesterholm, Tobias Friis, Rune Brincker, Anders Brandt

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Resumé

The identification of modal parameters of structures in operational conditions is termed Operational Modal Analysis (OMA). Stick-slip friction is common in many structures, for example offshore oil and gas platforms. The present OMA techniques are based on the assumption of linearity, and when stick-slip friction is present in a system, it is no longer linear. This study investigates how Random Decrement (RD), which is a technique used in OMA, can be used to identify stick-slip friction in a single degree of freedom system. The RD technique can be applied in a set of triggering levels in the same response signal, to calculate RD signatures, each representing the system vibrating at different amplitudes. From RD signatures, the modal parameters can be estimated using time-domain parameter estimation methods. From the changes in modal parameters, associated with the respective amplitude level in the response signal, the nonlinearity is characterized. Two RD triggering conditions are investigated to examine the applicability in identifying the stick-slip nonlinearity. A numerical study is compared with an experimental study of a single degree of freedom system with stick-slip friction.
OriginalsprogEngelsk
TitelProceedings of the 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure
RedaktørerGenda Chen, Sreenivas Alampalli
Publikationsdato5. aug. 2019
StatusUdgivet - 5. aug. 2019
Begivenhed9th International Conference on Structural Health Monitoring of Intelligent Infrastructure - Hyatt Regency St Louis At The Arch, St. Louis, USA
Varighed: 4. aug. 20197. aug. 2019
Konferencens nummer: 9
https://shmii-9.mst.edu/

Konference

Konference9th International Conference on Structural Health Monitoring of Intelligent Infrastructure
Nummer9
LokationHyatt Regency St Louis At The Arch
LandUSA
BySt. Louis
Periode04/08/201907/08/2019
Internetadresse

Fingeraftryk

Stick-slip
Degrees of freedom (mechanics)
Friction
Modal analysis
Parameter estimation
Gases

Citer dette

Vesterholm, K. K., Friis, T., Brincker, R., & Brandt, A. (2019). Identification of stick-slip friction in single-degree of freedom system using the random decrement technique. I G. Chen, & S. Alampalli (red.), Proceedings of the 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure
Vesterholm, Karsten Krautwald ; Friis, Tobias ; Brincker, Rune ; Brandt, Anders. / Identification of stick-slip friction in single-degree of freedom system using the random decrement technique. Proceedings of the 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure. red. / Genda Chen ; Sreenivas Alampalli. 2019.
@inproceedings{9803b13cc84a4528b809e88cf53cd639,
title = "Identification of stick-slip friction in single-degree of freedom system using the random decrement technique",
abstract = "The identification of modal parameters of structures in operational conditions is termed Operational Modal Analysis (OMA). Stick-slip friction is common in many structures, for example offshore oil and gas platforms. The present OMA techniques are based on the assumption of linearity, and when stick-slip friction is present in a system, it is no longer linear. This study investigates how Random Decrement (RD), which is a technique used in OMA, can be used to identify stick-slip friction in a single degree of freedom system. The RD technique can be applied in a set of triggering levels in the same response signal, to calculate RD signatures, each representing the system vibrating at different amplitudes. From RD signatures, the modal parameters can be estimated using time-domain parameter estimation methods. From the changes in modal parameters, associated with the respective amplitude level in the response signal, the nonlinearity is characterized. Two RD triggering conditions are investigated to examine the applicability in identifying the stick-slip nonlinearity. A numerical study is compared with an experimental study of a single degree of freedom system with stick-slip friction.",
keywords = "Random vibrations, System identification, Random Decrement, Nonlinearity, Stick-slip",
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year = "2019",
month = "8",
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editor = "Genda Chen and Sreenivas Alampalli",
booktitle = "Proceedings of the 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure",

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Vesterholm, KK, Friis, T, Brincker, R & Brandt, A 2019, Identification of stick-slip friction in single-degree of freedom system using the random decrement technique. i G Chen & S Alampalli (red), Proceedings of the 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure. 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure, St. Louis, USA, 04/08/2019.

Identification of stick-slip friction in single-degree of freedom system using the random decrement technique. / Vesterholm, Karsten Krautwald; Friis, Tobias; Brincker, Rune; Brandt, Anders.

Proceedings of the 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure. red. / Genda Chen; Sreenivas Alampalli. 2019.

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

TY - GEN

T1 - Identification of stick-slip friction in single-degree of freedom system using the random decrement technique

AU - Vesterholm, Karsten Krautwald

AU - Friis, Tobias

AU - Brincker, Rune

AU - Brandt, Anders

PY - 2019/8/5

Y1 - 2019/8/5

N2 - The identification of modal parameters of structures in operational conditions is termed Operational Modal Analysis (OMA). Stick-slip friction is common in many structures, for example offshore oil and gas platforms. The present OMA techniques are based on the assumption of linearity, and when stick-slip friction is present in a system, it is no longer linear. This study investigates how Random Decrement (RD), which is a technique used in OMA, can be used to identify stick-slip friction in a single degree of freedom system. The RD technique can be applied in a set of triggering levels in the same response signal, to calculate RD signatures, each representing the system vibrating at different amplitudes. From RD signatures, the modal parameters can be estimated using time-domain parameter estimation methods. From the changes in modal parameters, associated with the respective amplitude level in the response signal, the nonlinearity is characterized. Two RD triggering conditions are investigated to examine the applicability in identifying the stick-slip nonlinearity. A numerical study is compared with an experimental study of a single degree of freedom system with stick-slip friction.

AB - The identification of modal parameters of structures in operational conditions is termed Operational Modal Analysis (OMA). Stick-slip friction is common in many structures, for example offshore oil and gas platforms. The present OMA techniques are based on the assumption of linearity, and when stick-slip friction is present in a system, it is no longer linear. This study investigates how Random Decrement (RD), which is a technique used in OMA, can be used to identify stick-slip friction in a single degree of freedom system. The RD technique can be applied in a set of triggering levels in the same response signal, to calculate RD signatures, each representing the system vibrating at different amplitudes. From RD signatures, the modal parameters can be estimated using time-domain parameter estimation methods. From the changes in modal parameters, associated with the respective amplitude level in the response signal, the nonlinearity is characterized. Two RD triggering conditions are investigated to examine the applicability in identifying the stick-slip nonlinearity. A numerical study is compared with an experimental study of a single degree of freedom system with stick-slip friction.

KW - Random vibrations

KW - System identification

KW - Random Decrement

KW - Nonlinearity

KW - Stick-slip

M3 - Article in proceedings

BT - Proceedings of the 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure

A2 - Chen, Genda

A2 - Alampalli, Sreenivas

ER -

Vesterholm KK, Friis T, Brincker R, Brandt A. Identification of stick-slip friction in single-degree of freedom system using the random decrement technique. I Chen G, Alampalli S, red., Proceedings of the 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure. 2019