In this paper, a novel approach to identify dynamic characteristics of structures under stochastic excitation is proposed. Following a general framework of the stochastic subspace identification technique, an enhanced algorithm to properly determine the order of a system in state variable estimate has been developed. The efficiency of the proposed approach has been proven by comparing it with the existing approaches in applications to numerical data as well as field measurements of a suspension bridge. From the comparative study, it has been demonstrated that the proposed algorithm is quite effective in discriminating structural modes including weakly excited modes from noise modes in the phase of state vector estimates. This could significantly reduce the need for an additional procedure for selection of structural modes.
Estimating natural frequencies, damping ratios and FEM models of suspension bridges from wind response measurement
UBERTINI, Filippo
2010
Abstract
In this paper, a novel approach to identify dynamic characteristics of structures under stochastic excitation is proposed. Following a general framework of the stochastic subspace identification technique, an enhanced algorithm to properly determine the order of a system in state variable estimate has been developed. The efficiency of the proposed approach has been proven by comparing it with the existing approaches in applications to numerical data as well as field measurements of a suspension bridge. From the comparative study, it has been demonstrated that the proposed algorithm is quite effective in discriminating structural modes including weakly excited modes from noise modes in the phase of state vector estimates. This could significantly reduce the need for an additional procedure for selection of structural modes.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
