Structural Stiffness Identification Based on the Extended Kalman Filter Research

Joint Authors

Wang, Fenggang
Ling, Xianzhang
Xu, Xun
Zhang, Feng

Source

Abstract and Applied Analysis

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-05-21

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Mathematics

Abstract EN

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.

American Psychological Association (APA)

Wang, Fenggang& Ling, Xianzhang& Xu, Xun& Zhang, Feng. 2014. Structural Stiffness Identification Based on the Extended Kalman Filter Research. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1013280

Modern Language Association (MLA)

Wang, Fenggang…[et al.]. Structural Stiffness Identification Based on the Extended Kalman Filter Research. Abstract and Applied Analysis No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1013280

American Medical Association (AMA)

Wang, Fenggang& Ling, Xianzhang& Xu, Xun& Zhang, Feng. Structural Stiffness Identification Based on the Extended Kalman Filter Research. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1013280

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1013280