Spectral element model updating for damage identification using clonal selection algorithm

Wang, Ying, Zhu, Xinqun, Hao, Hong and Ou, Jinping 2011, Spectral element model updating for damage identification using clonal selection algorithm, Advances in structural engineering, vol. 14, no. 5, pp. 837-856, doi: 10.1260/1369-4332.14.5.837.

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Title Spectral element model updating for damage identification using clonal selection algorithm
Author(s) Wang, Ying
Zhu, Xinqun
Hao, Hong
Ou, Jinping
Journal name Advances in structural engineering
Volume number 14
Issue number 5
Start page 837
End page 856
Total pages 20
Publisher Multi-Science Publishing
Place of publication Essex, United Kingdom
Publication date 2011-10-01
ISSN 1369-4332
Keyword(s) damage identification
spectral element
model updating
clonal selection algorithm
wave propagation
Summary A spectral element model updating procedure is presented to identify damage in a structure using Guided wave propagation results. Two damage spectral elements (DSE1 and DSE2) are developed to model the local (cracks in reinforcement bar) and global (debonding between reinforcement bar and concrete) damage in one-dimensional homogeneous and composite waveguide, respectively. Transfer matrix method is adopted to assemble the stiffness matrix of multiple spectral elements. In order to solve the inverse problem, clonal selection algorithm is used for the optimization calculations. Two displacement-based functions and two frequency-based functions are used as objective functions in this study. Numerical simulations of wave propagation in a bare steel bar and in a reinforcement bar without and with various assumed damage scenarios are carried out. Numerically simulated data are then used to identify local and global damage of the steel rebar and the concrete-steel interface using the proposed method. Results show that local damage is easy to be identified by using any considered objective function with the proposed method while only using the wavelet energy-based objective function gives reliable identification of global damage. The method is then extended to identify multiple damages in a structure. To further verify the proposed method, experiments of wave propagation in a rectangular steel bar before and after damage are conducted. The proposed method is used to update the structural model for damage identification. The results demonstrate the capability of the proposed method in identifying cracks in steel bars based on measured wave propagation data.
Language eng
DOI 10.1260/1369-4332.14.5.837
Field of Research 090506 Structural Engineering
Socio Economic Objective 870501 Civil Building Management and Services
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2011, Multi-Science Publishing
Persistent URL http://hdl.handle.net/10536/DRO/DU:30040582

Document type: Journal Article
Collection: School of Engineering
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