Structural Stiffness Identification Based on the Extended Kalman Filter Research

Fenggang Wang, Xianzhang Ling, Xun Xu and Feng Zhang

Abstract and Applied Analysis, 2014, vol. 2014, 1-8

Abstract:

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- 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.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlaaa:103102

DOI: 10.1155/2014/103102

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