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dc.contributor.authorLei, Yingzh_CN
dc.contributor.authorJiang, Yongqiangzh_CN
dc.contributor.author雷鹰zh_CN
dc.date.accessioned2015-07-22T02:03:07Z
dc.date.available2015-07-22T02:03:07Z
dc.date.issued2011zh_CN
dc.identifier.citationAdvanced Materials Research, 2011,243-249:5394-5398zh_CN
dc.identifier.issn1022-6680zh_CN
dc.identifier.other20112314045809zh_CN
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/85564
dc.descriptionConference Name:1st International Conference on Civil Engineering, Architecture and Building Materials, CEABM 2011. Conference Address: Haikou, China. Time:June 18, 2011 - June 20, 2011.zh_CN
dc.descriptionHainan University, College of Civil Engineering and Architecture; Guizhou University, College of Civil and Architecture Engineering; Hainan Society of Theoretical and Applied Mechanicszh_CN
dc.description.abstractDetection of structural damages is critical to ensure the reliability and safety of structures. So far, some progresses in structural identification have been made. The extended Kalman filter (EKF) has been one of the classic time-domain approaches for the identification of structural parameters. However, since the extended state vector contains both the state vector and the structural parameters, EKF approach can identify limited numbers of nonlinear structural parameters due to computational convergence difficulty. To overcome such problem, a two-stage Kalman estimation approach, which is not available in the previous literature, is proposed for the identification of structural parameters. In the first stage, state vector of structures is considered as an implicit function of the structural parameters, and the parametric vector is estimated directly based on the Kalman estimator. In the second stage, state vector of the structure is updated by applying the Kalman estimator with the structural parameters being estimated in the first stage. Therefore, analytical recursive solutions for the structural parameters and state vector are respectively derived and presented, by using the Kalman estimator method in a two-stage approach. The proposed approach is straightforward. Moreover, it can identify more numbers of nonlinear structural parameters with less time of iteration calculation compared with the conventional EKF. A numerical example of identifying the parameters of an 8-storey shear-frame structure is conducted. Simulation results show that the proposed approach is effective and accurate. ? (2011) Trans Tech Publications.zh_CN
dc.language.isoen_USzh_CN
dc.publisherTrans Tech Publicationszh_CN
dc.source.urihttp://dx.doi.org/10.4028/www.scientific.net/AMR.243-249.5394zh_CN
dc.subjectBuilding materialszh_CN
dc.subjectCivil engineeringzh_CN
dc.subjectConstruction equipmentzh_CN
dc.subjectDamage detectionzh_CN
dc.subjectEstimationzh_CN
dc.subjectIdentification (control systems)zh_CN
dc.subjectStageszh_CN
dc.subjectStructural analysiszh_CN
dc.subjectTime domain analysiszh_CN
dc.subjectVectorszh_CN
dc.titleA two-stage Kalman estimation approach for the identification of structural parameters under unknown inputszh_CN
dc.typeConferencezh_CN


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