Open Access
2014 Structural Stiffness Identification Based on the Extended Kalman Filter Research
Fenggang Wang, Xianzhang Ling, Xun Xu, Feng Zhang
Abstr. Appl. Anal. 2014(SI63): 1-8 (2014). DOI: 10.1155/2014/103102


For the response acquisition of the structure section measuring points, the method of identifying the structural stiffness parameters is developed by using the extended Kalman filter. The state equation of structural system parameter is a nonlinear equation. Dispersing the structural dynamic equation by using Newmark- β method, the state transition matrix of discrete state equation is deduced and the solution of discrete state equation is simplified. The numerical simulation shows that the error of structural recognition doesnot exceed 5% when the noise level is 3%. It meets the requirements of the error limit of the engineering structure, which indicates that the derivation described in this paper has the robustness for the structural stiffness recognition. Shear structure parameter identification examples illustrate its applicability, and the method can also be used to identify physical parameters of large structure.


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Fenggang Wang. Xianzhang Ling. Xun Xu. Feng Zhang. "Structural Stiffness Identification Based on the Extended Kalman Filter Research." Abstr. Appl. Anal. 2014 (SI63) 1 - 8, 2014.


Published: 2014
First available in Project Euclid: 6 October 2014

zbMATH: 07021739
MathSciNet: MR3214406
Digital Object Identifier: 10.1155/2014/103102

Rights: Copyright © 2014 Hindawi

Vol.2014 • No. SI63 • 2014
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