Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/14821

TitleAutomatic system identification algorithm for processing ambient vibration data
Author(s)Aguilar, Rafael
Ramos, Luís F.
Azenha, Miguel
KeywordsSystem identification
Modal analysis
Issue date2011
PublisherInternational Operational Modal Analysis Conference (IOMAC)
Abstract(s)When large quantities of data are acquired in long-term monitoring works, the use of automatic modal identification procedures is mandatory for the feasibility of real-time data interpretation, damage detection, model updating, or others. This paper presents an innovative algorithm for real-time remote processing the information recorded by ambient vibration tests. This algorithm aims at generating and interpreting the stabilization diagrams resultant from the application of parametric methods (such as the Stochastic Subspace Identification – SSI) to the collected time domain data. The proposed algorithm was validated in two stages: (i) considering numerical examples with artificially generated data and (ii) in a field test for tracking the stiffening process of concrete since early ages. The results of these two rounds of validation tests evidenced the high accuracy of the automatic estimations of this new algorithm and thus, the feasibility for its incorporation as a tool in future Structural Health Monitoring works.
TypeConference paper
URIhttp://hdl.handle.net/1822/14821
ISBN9781632668530
Peer-Reviewedno
AccessRestricted access (UMinho)
Appears in Collections:ISISE - Comunicações a Conferências Internacionais

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