FEM calibrated ARMAX model updating method for time domain damage identification

Wang, Ying, Khoo, Suiyang, Li, An-jui and Hao, Hong 2013, FEM calibrated ARMAX model updating method for time domain damage identification, Advances in structural engineering, vol. 16, no. 1, pp. 51-60, doi: 10.1260/1369-4332.16.1.51.

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Title FEM calibrated ARMAX model updating method for time domain damage identification
Author(s) Wang, Ying
Khoo, Suiyang
Li, An-jui
Hao, Hong
Journal name Advances in structural engineering
Volume number 16
Issue number 1
Start page 51
End page 60
Total pages 10
Publisher Multi-Science Publishing
Place of publication Brentwood, England
Publication date 2013
ISSN 1369-4332
Keyword(s) ARMAX model
civil infrastructure
clonal selection algorithm
damage identification
finite element model
time domain
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. To do this, a finite element model of a steel pipe laid on the soil 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 built and calibrated. The calibrated ARMAX model is used to identify different damage scenarios through model updating process using clonal selection algorithm (CSA). The results demonstrate the application potential of the proposed method in identifying the pipeline conditions. To further verify its performance, laboratory tests of a steel pipe laid on the soil with and without soil support (free span damage) are carried out. The identification results of pipe-soil system show that the proposed method is capable of identifying damagein a complex structural system. Therefore, it can be applied to identifying pipeline conditions.
Language eng
DOI 10.1260/1369-4332.16.1.51
Field of Research 090506 Structural Engineering
Socio Economic Objective 870501 Civil Building Management and Services
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2013, Multi-Science Publishing
Persistent URL http://hdl.handle.net/10536/DRO/DU:30051769

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