@book{13599102f60742c0aa5c666d095cdb43,
title = "Identification of Time Varying Civil Engineering Structures using Multivariate Recursive Time Domain Models",
abstract = "This paper presents system identification results of an RC-structure using multivariable autoregressive moving-average vector models (ARMAV) on a running window, reursive ARMAW models (RARMAV) and Kalman filtering of a simple spring-mass-dashpot system. The identification techniques are used on simulated data generated by the non-linear finite element program SARCOF modelling a 6-storey 2-bay concete structure subjected to amplitude modulated Gaussian white noise filtered through a Kanai-Tajimi filter. The estiated natural frequencies and mode shapes of the two first modes ae compared with the smoothed quanties which have been obtained from SARCOF. The results show the usefulness of the technique for identification of a time varying civil engineering structure. It is found that all the techniques give reliable estiates of the frequencies of the two lowest modes and the first mode shape. Only the Kalman filtering gives reliable estimates of the second mode shape. ",
keywords = "Spring-mass-dashpot system, RC-Structure, ARMAV, ARMAV, RC-Structure, Spring-mass-dashpot system",
author = "P. Andersen and Skj{\ae}rb{\ae}k, {P. S.} and Kirkegaard, {Poul Henning}",
note = "Presented at ISMA21, Leuven, September 1996 PDF for print: 18 pp",
year = "1996",
language = "English",
series = "Fracture and Dynamics",
publisher = "Dept. of Building Technology and Structural Engineering, Aalborg University",
number = "79",
address = "Denmark",
}