Some Aspects of Using the Random Decrement Technique for Nonlinear Systems

Karsten K. Vesterholm*, Rune Brincker, Anders Brandt

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

The random decrement (RD) technique can be used to analyze the response signal from a system that has amplitude dependent modal parameters. The implementation of RD for this purpose is usually done by simply applying the technique at multiple amplitudes in the measured response signal. Modal parameters are then estimated based on RD signatures using well known time domain modal parameter estimation methods. This analysis procedure originates from the invention of the RD technique, and is described by several studies in the literature. However, the RD technique is developed for linear systems, and caution must be exercised when applying it to nonlinear systems. In this study, several aspects of applying of the RD technique on signals exhibiting nonlinear behavior are addressed. The principle of superposition does not apply for a nonlinear system. This means the averaging process in RD can yield corrupted results. The benefit of a sufficiently high sampling rate is described.
Original languageEnglish
Title of host publicationNonlinear Structures & Systems : Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020
EditorsG. Kerschen, M. R. Brake, L. Renson
Volume1
Place of PublicationCham
PublisherSpringer
Publication date2021
Pages39-41
ISBN (Print)978-3-030-47625-0
ISBN (Electronic)978-3-030-47626-7
DOIs
Publication statusPublished - 2021
Event38th IMAC: A Conference and Exposition on Structural Dynamics - Hourson, United States
Duration: 10 Feb 202013 Feb 2020

Conference

Conference38th IMAC
CountryUnited States
CityHourson
Period10/02/202013/02/2020
SeriesConference Proceedings of the Society for Experimental Mechanics Series
Volume1
ISSN2191-5644

Keywords

  • Random decrement
  • Nonlinear system
  • Random vibrations
  • Signal processing
  • System identification

Fingerprint Dive into the research topics of 'Some Aspects of Using the Random Decrement Technique for Nonlinear Systems'. Together they form a unique fingerprint.

Cite this