2021-10-25T03:21:49Z
https://oa.upm.es/cgi/oai2
oai:oa.upm.es:30114
2014-09-22T11:47:55Z
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Joint statistical analysis of multiple measurement setups for the estimation of vibrational modes
Cara Cañas, Francisco Javier
Juan Ruiz, Jesús
Alarcón Álvarez, Enrique
Civil Engineering and Construction
Mathematics
Computing the modal parameters of large structures in Operational Modal Analysis often requires to process data from multiple non simultaneously recorded setups of sensors. These setups share some sensors in common, the so-called reference sensors that are fixed for all the measurements, while the other sensors are moved from one setup to the next. One possibility is to process the setups separately what result in different modal parameter estimates for each setup. Then the reference sensors are used to merge or glue the different parts of the mode shapes to obtain global modes, while the natural frequencies and damping ratios are usually averaged. In this paper we present a state space model that can be used to process all setups at once so the global mode shapes are obtained automatically and subsequently only a value for the natural frequency and damping ratio of each mode is computed. We also present how this model can be estimated using maximum likelihood and the Expectation Maximization algorithm. We apply this technique to real data measured at a footbridge.
E.T.S.I. Industriales (UPM)
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
2013
info:eu-repo/semantics/conferenceObject
Presentation at Congress or Conference
IOMAC'13 - 5th. International Operational Modal Analysis Conference | IOMAC'13 - 5th. International Operational Modal Analysis Conference | 13/05/2013-15/05/2013 | Guimaraes (Portugal)
NonPeerReviewed
application/pdf
eng
http://www.iomac.dk/
info:eu-repo/semantics/restrictedAccess
http://oa.upm.es/30114/