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Damage identification of civil infrastructure in the time domain using FEM calibrated ARMAX model

Wang, Ying, Khoo, Sui Yang and Li, An-Jui 2011, Damage identification of civil infrastructure in the time domain using FEM calibrated ARMAX model, in APVC 2011 : Proceedings of the14th Asia Pacific Vibration Conference, Hong Kong Polytechnic University. Department of Civil and Structural Engineering and Department of Mechanical Engineering, [Hong Kong, China], pp. 203-212.

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Title Damage identification of civil infrastructure in the time domain using FEM calibrated ARMAX model
Author(s) Wang, Ying
Khoo, Sui Yang
Li, An-Jui
Conference name Asia Pacific Vibration Conference (14th : 2011 : Hong Kong, China)
Conference location Hong Kong, China
Conference dates 5-8 Dec. 2011
Title of proceedings APVC 2011 : Proceedings of the14th Asia Pacific Vibration Conference
Editor(s) [unknown]
Publication date 2011
Conference series Asia Pacific Vibration Conference
Start page 203
End page 212
Total pages 10
Publisher Hong Kong Polytechnic University. Department of Civil and Structural Engineering and Department of Mechanical Engineering
Place of publication [Hong Kong, China]
Keyword(s) civil infrastructure
damage identification
ARMAX model
time domain
clonal selection algorithm
Summary Due to environmental loads, mechanical damages, structural aging and human factors, civil infrastructure inevitably deteriorate during their service lives. Since their damage may claim human lives and cause significant economic losses, how to identify damages and assess structural conditions timely and accurately has drawn increasingly more attentions from structural engineering community worldwide. In this study, a fast and sensitive time domain damage identification method will be developed. First, a high quality finite element model is built and the structural responses are simulated under different damage scenarios. Based on the simulated data, an Auto Regressive Moving Average Exogenous (ARMAX) model is then developed and calibrated. The calibrated ARMAX model can be used to identify damage in different scenarios through model updating process using clonal selection algorithm (CSA). The identification results demonstrate the performance of the proposed methodology, which has the potential to be used for damage identification in practices.
ISBN 9789623677318
Language eng
Field of Research 090506 Structural Engineering
Socio Economic Objective 879899 Environmentally Sustainable Construction not elsewhere classified
HERDC Research category E1 Full written paper - refereed
HERDC collection year 2011
Copyright notice ©2011, Hong Kong Polytechnic University
Persistent URL http://hdl.handle.net/10536/DRO/DU:30045430

Document type: Conference Paper
Collection: School of Engineering
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