2022-01-18T00:44:54Z
https://oa.upm.es/cgi/oai2
oai:oa.upm.es:45990
2017-09-21T22:30:03Z
7374617475733D707562
7375626A656374733D696E647573747269616C
7375626A656374733D6D6563616E696361
747970653D636F6E666572656E63655F6974656D
Modal identification of structures from roving input data
by means of maximum likelihood estimation of the state
space model
Cara Cañas, Francisco Javier
Juan Ruiz, Jesús
Alarcón Álvarez, Enrique
Industrial Engineering
Mechanics
The usual way to perform a forced vibration test is to fix accelerometers to the structure, then apply a known input and record the response of the structure. An interesting variant consists of subsequently repeating the test but with the input force applied to different points, roving the input from test to test but not the sensors. In a second phase, individual frequency response functions are combined in a single frequency response function which takes into account all the information. The advantage of this procedure is double: first, the mode shapes can be estimated at all points where inputs are applied (using the dynamic reciprocity theorem); and second, the measured forces allow to scale the mode shapes to unit modal mass. This problem is solved in technical literature in the frequency domain. In this work we propose a state space model that can be used
to solve the problem in the time domain. We also propose a maximum likelihood algorithm to estimate such a model.
E.T.S.I. Industriales (UPM)
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
2016
info:eu-repo/semantics/conferenceObject
Presentation at Congress or Conference
PROCEEDINGS OF ISMA2016 INCLUDING USD2016 | ISMA2016 - USD2016 Conference | 19-21 September 2016 | Leuven, Belgium
NonPeerReviewed
application/pdf
eng
https://www.isma-isaac.be/past/conf/isma2016/
info:eu-repo/grantAgreement/MINECO//BIA2014-59321-C2-1-R
info:eu-repo/semantics/openAccess
http://oa.upm.es/45990/