A Modal-Based Kalman Filter Approach and OSP Method for Structural Response Reconstruction
Joint Authors
Peng, Zhenrui
Dong, Kangli
Yin, Hong
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-16
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
The objective of the work is experimental validation and optimal experimental design for structural response reconstruction.
A modal-based Kalman filter approach based on excitation identification Kalman filter is proposed for response reconstruction and excitation estimation of structures by using noisy acceleration and strain measurements.
Firstly, different filters are introduced and discussed.
Secondly, to avoid single type sensors, a displacement reconstruction based on modal method is introduced into the proposed approach.
Thirdly, the backward sequential algorithm is given to obtain the optimal sensor locations.
It is shown that the proposed method can avoid the divergency in the estimated process of excitation and displacements as a result of incomplete measurements.
Reasonable estimates of strains, displacements, velocities, accelerations, and excitations of structures can be accomplished with few acceleration sensors and strain gauges.
American Psychological Association (APA)
Peng, Zhenrui& Dong, Kangli& Yin, Hong. 2019. A Modal-Based Kalman Filter Approach and OSP Method for Structural Response Reconstruction. Shock and Vibration،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1211327
Modern Language Association (MLA)
Peng, Zhenrui…[et al.]. A Modal-Based Kalman Filter Approach and OSP Method for Structural Response Reconstruction. Shock and Vibration No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1211327
American Medical Association (AMA)
Peng, Zhenrui& Dong, Kangli& Yin, Hong. A Modal-Based Kalman Filter Approach and OSP Method for Structural Response Reconstruction. Shock and Vibration. 2019. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1211327
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1211327