Enhanced methods of operational modal analysis

dc.contributor.advisorArjomandi, Kaveh
dc.contributor.authorMacLeod, Ethan
dc.date.accessioned2023-03-01T16:21:25Z
dc.date.available2023-03-01T16:21:25Z
dc.date.issued2018
dc.date.updated2023-03-01T15:01:49Z
dc.description.abstractIn this thesis practical considerations for Operational Modal Analysis (OMA) are discussed and two new methods of analysis are proposed. First, it is shown that although natural frequencies may be accurately estimated, the estimated mode shapes when the input excitation is other than Gaussian white noise contain significant errors, and in most cases, accurate estimation is not feasible. A modal filter system is proposed which implements a nonlinear optimization algorithm to perform OMA on a system subjected to input excitations other than Gaussian white noise. The proposed method is validated using numerical parametric studies on a 4 DOF analytical system subjected to a generalized broadband excitation. Lastly, the application of automated OMA as a solution for practical Structural Health Monitoring is discussed and a novel scale space based frequency domain automated OMA method is proposed. The method is successfully validated with a 4 DOF analytical system and a comparative study is performed using vibration test data from a scale cable stayed bridge model.
dc.description.copyright© Ethan MacLeod, 2018
dc.formattext/xml
dc.format.extentviii, 121 pages
dc.format.mediumelectronic
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/13622
dc.language.isoen_CA
dc.publisherUniversity of New Brunswick
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subject.disciplineCivil Engineering
dc.titleEnhanced methods of operational modal analysis
dc.typemaster thesis
thesis.degree.disciplineCivil Engineering
thesis.degree.fullnameMaster of Science in Engineering
thesis.degree.grantorUniversity of New Brunswick
thesis.degree.levelmasters
thesis.degree.nameM.Sc.E.

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