Nasrellah, HA and Manohar, CS (2010) A particle filtering approach for structural system identification in vehicle–structure interaction problems. In: Journal of Sound and Vibration, 329 (9). pp. 1289-1309.
fil.pdf - Published Version
Restricted to Registered users only
Download (1088Kb) | Request a copy
The problem of identification of parameters of a beam-moving oscillator system based on measurement of time histories of beam strains and displacements is considered. The governing equations of motion here have time varying coefficients. The parameters to be identified are however time invariant and consist of mass, stiffness and damping characteristics of the beam and oscillator subsystems. A strategy based on dynamic state estimation method, that employs particle filtering algorithms, is proposed to tackle the identification problem. The method can take into account measurement noise, guideway unevenness, spatially incomplete measurements, finite element models for supporting structure and moving vehicle, and imperfections in the formulation of the mathematical models. Numerical illustrations based on synthetic data on beam-oscillator system are presented to demonstrate the satisfactory performance of the proposed procedure.
|Item Type:||Journal Article|
|Additional Information:||Copyright of this article belongs to Elsevier Science.|
|Department/Centre:||Division of Mechanical Sciences > Civil Engineering|
|Date Deposited:||15 Jul 2010 06:32|
|Last Modified:||19 Sep 2010 06:10|
Actions (login required)