Structural Stiffness Identification Based on the Extended Kalman Filter Research
Joint Authors
Wang, Fenggang
Ling, Xianzhang
Xu, Xun
Zhang, Feng
Source
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
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