Damage Detection of Structures Identified with Deterministic-Stochastic Models Using Seismic Data
Joint Authors
Huang, Ming-Chih
Wang, Yen-Po
Chang, Ming-Lian
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-03
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
A deterministic-stochastic subspace identification method is adopted and experimentally verified in this study to identify the equivalent single-input-multiple-output system parameters of the discrete-time state equation.
The method of damage locating vector (DLV) is then considered for damage detection.
A series of shaking table tests using a five-storey steel frame has been conducted.
Both single and multiple damage conditions at various locations have been considered.
In the system identification analysis, either full or partial observation conditions have been taken into account.
It has been shown that the damaged stories can be identified from global responses of the structure to earthquakes if sufficiently observed.
In addition to detecting damage(s) with respect to the intact structure, identification of new or extended damages of the as-damaged counterpart has also been studied.
This study gives further insights into the scheme in terms of effectiveness, robustness, and limitation for damage localization of frame systems.
American Psychological Association (APA)
Huang, Ming-Chih& Wang, Yen-Po& Chang, Ming-Lian. 2014. Damage Detection of Structures Identified with Deterministic-Stochastic Models Using Seismic Data. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1051464
Modern Language Association (MLA)
Huang, Ming-Chih…[et al.]. Damage Detection of Structures Identified with Deterministic-Stochastic Models Using Seismic Data. The Scientific World Journal No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-1051464
American Medical Association (AMA)
Huang, Ming-Chih& Wang, Yen-Po& Chang, Ming-Lian. Damage Detection of Structures Identified with Deterministic-Stochastic Models Using Seismic Data. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1051464
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051464