TRACKING THE MODAL PARAMETERS OF TIME-VARYING STRUCTURES BY REGULARIZED NONPARAMETRIC ESTIMATION AND OPERATIONAL MODAL ANALYSIS

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

This paper presents an efficient nonparametric time-varying (TV) system identification method combined with mode tracking for Operational Modal Analysis (OMA). OMA is a special identification technique for estimating the modal properties of structures based on vibration data collected under real operating conditions and without having access to the excitation signals. The time-varying aspect refers to cases where the structural dynamic behavior changes as a function of time; e.g. due to changes in mass (fuel burn during launch; people filling a football stadium structure) or environmental conditions and interactions (temperature changes; aerodynamic forces causing flutter).
In this work a regularized time domain TV OMA method is presented to estimate the linear TV output autocorrelation function of the observed system. In a second step, parametric identification will be applied to track the modal parameters of the time-varying system. The method is illustrated using wind tunnel measurement on an airplane (component) model.
Original languageEnglish
Title of host publicationIOMAC 2019 INTERNATIONAL OPERATIONAL MODAL ANALYSIS CONFERENCE
Pages511-523
Number of pages13
ISBN (Electronic)9788409049004
Publication statusPublished - 13 May 2019
EventIOMAC 2019 INTERNATIONAL OPERATIONAL MODAL ANALYSIS CONFERENCE - Copenhagen, Denmark
Duration: 13 May 201915 Aug 2019

Publication series

Name8th IOMAC - International Operational Modal Analysis Conference, Proceedings

Conference

ConferenceIOMAC 2019 INTERNATIONAL OPERATIONAL MODAL ANALYSIS CONFERENCE
Abbreviated titleIOMAC
CountryDenmark
Period13/05/1915/08/19

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