Detection of nonlinear behavior using the Random Decrement Technique

Karsten Krautwald Vesterholm; Rune Brincker; Anders Brandt

Detection of nonlinear behavior using the Random Decrement Technique

Karsten Krautwald Vesterholm, Rune Brincker, Anders Brandt

Technical University of Denmark

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

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.

Original language	English
Title of host publication	8th International Operational Modal Analysis Conference (IOMAC 2019)
Editors	Sandro D. R. Amador, Rune Brincker, Evangelos I. Katsanos, Manuel Lopez Aenlle, Pelayo Fernandez
Publisher	IOMAC
Publication date	2019
Pages	421-424
ISBN (Print)	9781510888333
ISBN (Electronic)	9788409049004
Publication status	Published - 2019
Event	8th International Operational Modal Analysis Conference, IOMAC 2019 - Copenhagen, Denmark Duration: 13. May 2019 → 15. May 2019

Conference

Conference	8th International Operational Modal Analysis Conference, IOMAC 2019
Country/Territory	Denmark
City	Copenhagen
Period	13/05/2019 → 15/05/2019
Sponsor	Brüel & Kjær, Gfai Tech, Siemens, Structural Vibration Solutions A/S

Documents & Links

http://www.proceedings.com/49291.html

1 Ph.D. thesis

Random Decrement Based Vibration Analysis of Nonlinear Systems
Vesterholm, K. K., 31. Mar 2021, Syddansk Universitet. Det Tekniske Fakultet. 252 p.
Research output: Thesis › Ph.D. thesis

Open Access
File

1 Conference presentations

Detection of nonlinear behavior using the random decrement technique
Vesterholm, K. K. (Speaker)
13. May 2019 → 15. May 2019
Activity: Talks and presentations › Conference presentations

Cite this

@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",

booktitle = "8th International Operational Modal Analysis Conference (IOMAC 2019)",

publisher = "IOMAC",

note = "8th International Operational Modal Analysis Conference, IOMAC 2019 ; Conference date: 13-05-2019 Through 15-05-2019",

}

Vesterholm, KK, Brincker, R & Brandt, A 2019, Detection of nonlinear behavior using the Random Decrement Technique. in SDR Amador, R Brincker, EI Katsanos, M Lopez Aenlle & P Fernandez (eds), 8th International Operational Modal Analysis Conference (IOMAC 2019). IOMAC, pp. 421-424, 8th International Operational Modal Analysis Conference, IOMAC 2019, Copenhagen, Denmark, 13/05/2019. <http://www.proceedings.com/49291.html>

Detection of nonlinear behavior using the Random Decrement Technique. / Vesterholm, Karsten Krautwald; Brincker, Rune; Brandt, Anders.
8th International Operational Modal Analysis Conference (IOMAC 2019). ed. / Sandro D. R. Amador; Rune Brincker; Evangelos I. Katsanos; Manuel Lopez Aenlle; Pelayo Fernandez. IOMAC, 2019. p. 421-424.

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

TY - GEN

T1 - Detection of nonlinear behavior using the Random Decrement Technique

AU - Vesterholm, Karsten Krautwald

AU - Brincker, Rune

AU - Brandt, Anders

PY - 2019

Y1 - 2019

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.

M3 - Article in proceedings

SN - 9781510888333

SP - 421

EP - 424

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

A2 - Amador, Sandro D. R.

A2 - Brincker, Rune

A2 - Katsanos, Evangelos I.

A2 - Lopez Aenlle, Manuel

A2 - Fernandez, Pelayo

PB - IOMAC

T2 - 8th International Operational Modal Analysis Conference, IOMAC 2019

Y2 - 13 May 2019 through 15 May 2019

ER -

Detection of nonlinear behavior using the Random Decrement Technique

Abstract

Conference

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Related research output

Random Decrement Based Vibration Analysis of Nonlinear Systems

Related activities

Detection of nonlinear behavior using the random decrement technique

Cite this