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| Identification on physical parameters of bridge structures with unknown excitation and rotational response |
| Received:March 15, 2023 Revised:April 28, 2023 |
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| DOI：10.7511/jslx20230315001 |
| KeyWord:physical parameter identification unknown excitation and rotational angle information improved extended Kalman filtering static coalescence method decomposition of the measurement matrix |
| Author | Institution |
| 黄海新 |
河北工业大学 土木与交通学院, 天津 |
| 金晓辉 |
河北工业大学 土木与交通学院, 天津 |
| 程寿山 |
交通运输部公路科学研究所, 桥梁结构安全技术国家工程实验室北京, 北京 |
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| Abstract: |
| The physical parameter identification of bridge structures often requires complete structural response and known extended excitation information,which is usually difficult to obtain in practice.In order to realize the online identification of the physical parameters of a bridge structure when the information of rotation information and the applied excitation is unknown,an improved extended Kalman filter method is proposed by combining the extended Kalman filter method with the least-squares method after eliminating the rotational degrees of freedom by means of the static coalescence method.The decomposition algorithm based on the Kronecker product is introduced for the problem that the observation equation after static coalescence presents a high degree of nonlinearity,which leads to inefficient calculation of the Kalman measurement matrix.A simply supported girder bridge is simulated under moving load as an example.The results show that the proposed method can accurately identify the physical parameters of the structure and the applied excitation,and the accuracy of the identification and the running speed of the program are significantly improved after the introduction of the Kronecker product. |