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Real-time substructural identification by boundary force modeling
Yuen, Ka-Veng; Huang, Ke
2018-05
Source PublicationSTRUCTURAL CONTROL & HEALTH MONITORING
ISSN1545-2255
Volume25Issue:5
AbstractA major difficulty of structural identification is due to the large number of unknowns and its induced ill condition. Substructural identification approach opens a new angle for the identification of large-scale structures because it offers the flexibility to isolate some critical substructures for identification. The key is to estimate the boundary force using response measurements. However, after 2 decades of development, it has been found that this approach worsens the identifiability of the inverse problem. In this paper, we propose a new real-time substructural identification approach to resolve the ill-posed problem. Its major crux is to model the boundary force as modulated filtered white noise, which can be viewed as a continuity condition. As a result, the boundary force is estimated not only through the response measurement at the same time step but also the boundary force estimation of previous time steps. This drastically enhances the computational condition of the problem. Furthermore, the proposed method does not require stationarity of the response. Examples using a hundred-story shear building under different stationarity scenarios are used to demonstrate the performance of the proposed method.
KeywordBayesian inference extended Kalman filter filtered white noise noise covariance matrices structural health monitoring substructural identification
DOI10.1002/stc.2151
URLView the original
Indexed BySCI
Language英语
WOS Research AreaConstruction & Building Technology ; Engineering ; Instruments & Instrumentation
WOS SubjectConstruction & Building Technology ; Engineering, Civil ; Instruments & Instrumentation
WOS IDWOS:000429581100008
PublisherWILEY
The Source to ArticleWOS
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被引频次[WOS]:4   [WOS记录]     [WOS相关记录]
Document TypeJournal article
专题University of Macau
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Yuen, Ka-Veng,Huang, Ke. Real-time substructural identification by boundary force modeling[J]. STRUCTURAL CONTROL & HEALTH MONITORING,2018,25(5).
APA Yuen, Ka-Veng,&Huang, Ke.(2018).Real-time substructural identification by boundary force modeling.STRUCTURAL CONTROL & HEALTH MONITORING,25(5).
MLA Yuen, Ka-Veng,et al."Real-time substructural identification by boundary force modeling".STRUCTURAL CONTROL & HEALTH MONITORING 25.5(2018).
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