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Research Papers

Substructural Damage Detection With Incomplete Information of the Structure

[+] Author and Article Information
J. Li

Department of Civil and Structural Engineering,  The Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong, P. R. C.LI.Jun@connect.polyu.hk

S. S. Law1

Department of Civil and Structural Engineering,  The Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong, P. R. C.cesslaw@polyu.edu.hk

1

Corresponding author.

J. Appl. Mech 79(4), 041003 (May 08, 2012) (10 pages) doi:10.1115/1.4005552 History: Received November 12, 2010; Revised April 26, 2011; Posted January 31, 2012; Published May 08, 2012; Online May 08, 2012

This paper proposes a substructural damage identification approach without the information of responses and forces at the interface degrees-of-freedom. It is based on the response reconstruction technique using the unit impulse response function in the wavelet domain. The finite element model of the target substructure and acceleration measurement data from the damaged substructure are required in the identification. A dynamic response sensitivity-based method is used for the substructural finite element model updating, and local damage is identified as a change in the elemental stiffness factors. The adaptive Tikhonov regularization technique is adopted to improve the identification results with the measurement noise effect. Numerical studies on a three-dimensional box-section girder are conducted to validate the proposed method of substructural damage identification. The simulated damage can be identified effectively even with 10% noise in the measurements and a 5% coefficient of variation in the elastic modulus of material of the structure.

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Copyright © 2012 by American Society of Mechanical Engineers
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References

Figures

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Figure 1

Example of a substructure

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Figure 2

Finite element model of the box-section girder structure

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Figure 3

El-Centro seismic acceleration records acting along the x-axis and z-axis

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Figure 4

True and reconstructed responses in the second-set response vector of SP1

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Figure 5

Damage identification results of SP1 and SP2 sensor placement configurations

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Figure 6

Damage identification results of SP1 with 50 Hz and 100 Hz sampling rate

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Figure 7

Damage identification results without use of IIRS condensation

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Figure 8

Damage identification results with model errors

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