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

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
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
CountryDenmark
CityCopenhagen
Period12/05/201915/05/2019

Cite this

Andersen, P. L., Nielsen, S. T., Amador, S. D. R., Katsanos, E., & Brincker, R. (2019). OMA-based structural health monitoring of a wooden mast structure exposed to ambient vibrations. In Proceedings of the 8th Iomac - International Operational Modal Analysis Conference (pp. 195-204)