OMA-based structural health monitoring of a wooden mast structure exposed to ambient vibrations

Pernille Lysgaard Andersen, Silja Tea Nielsen, Sandro D.R. Amador, Evangelos Katsanos, Rune Brincker

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    OMA-based Structural Health Monitoring (SHM) relies on the modal parameters in order to identify the health condition of a structure. These parameters are affected both by structural changes and the varying environmental/operational conditions. In order to robustly detect structural modifications in the monitored structures, an OMA-based SHM approach must distinguish between the different sources of change. Along these lines, this study aims at detecting structural changes in a structure subjected to varying environmental conditions. The investigated structure consists of a wooden mast and a steel frame top site, and is monitored by a modern vibration-based acquisition system while a weather station captures the environmental conditions. The measurements provided are used to: establish an environmental model for the mast structure; remove the effect of the environmental conditions from the estimated modal parameters and finally detect structural changes such as induced damages, hereby assessing the efficiency of the deployed OMA-based SHM approach.
    Original languageEnglish
    Title of host publicationProceedings of the 8th Iomac - International Operational Modal Analysis Conference
    PublisherIOMAC
    Publication date2019
    Pages195-204
    ISBN (Electronic)9788409049004
    Publication statusPublished - 2019
    Event8th International Operational Modal Analysis Conference - Admiral Hotel, Copenhagen, Denmark
    Duration: 12 May 201915 May 2019
    Conference number: 8

    Conference

    Conference8th International Operational Modal Analysis Conference
    Number8
    LocationAdmiral Hotel
    Country/TerritoryDenmark
    CityCopenhagen
    Period12/05/201915/05/2019

    Fingerprint

    Dive into the research topics of 'OMA-based structural health monitoring of a wooden mast structure exposed to ambient vibrations'. Together they form a unique fingerprint.

    Cite this