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| Identification on physical parameters of bridge structures based on extended Kalman filter |
| Revised:June 02, 2005 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20074092 |
| KeyWord:bridge structures,physical parameter,identification,extended Kalman filter,finite element,stochastic load |
| FAN Su-ying LI Zhong-xian |
| School of Civil Engineering, Tianjin University, Tianjin 300072, China |
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| Abstract: |
| Based on the extended Kalman filter,an identification method on physical parameters of bridge structures subjected to stochastic loads is proposed.Taking the loads as observation objects,the observation equation based on finite element model of bridge structures is derived.Taking the unknown physical parameters of the structure as state variables,the state equation of system is established.Employing the extended Kalman filter algorithm to the nonlinear parametric system formulated by the state equation and the observation equation,the physical parameters of the structure are identified.For verification purposes,the identification on the physical parameters of a simply supported beam bridge and a 3-span continuous beam bridge are numerically simulated under different cases.The results show that the stiffness,mass and damping parameters of bridge structures can be identified by the proposed method with high accuracy and strong noise resistance feature.This proves the effectiveness and robustness of the proposed method,which can be applied for the identification on physical parameters of large bridge structures. |
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