Automatic system identification algorithm for processing ambient vibration data

Rafael Aguilar, Luís F. Ramos, Miguel Azenha

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication4th International Operational Modal Analysis Conference, IOMAC 2011
PublisherInternational Operational Modal Analysis Conference (IOMAC)
Pages577-584
Number of pages8
ISBN (Electronic)9781632668530
StatePublished - 2011
Event4th International Operational Modal Analysis Conference, IOMAC 2011 - Istanbul, Turkey
Duration: 9 May 201111 May 2011

Publication series

Name4th International Operational Modal Analysis Conference, IOMAC 2011

Conference

Conference4th International Operational Modal Analysis Conference, IOMAC 2011
Country/TerritoryTurkey
CityIstanbul
Period9/05/1111/05/11

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