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Spectral element model updating for damage identification using clonal selection algorithm

journal contribution
posted on 2011-10-01, 00:00 authored by Ying Wang, X Zhu, H Hao, J Ou
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.

History

Journal

Advances in structural engineering

Volume

14

Issue

5

Pagination

837 - 856

Publisher

Multi-Science Publishing

Location

Essex, United Kingdom

ISSN

1369-4332

eISSN

2048-4011

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2011, Multi-Science Publishing

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