Structural Damage Detection through Chaotic Interrogation and Attractor Analysis

Abstract:

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In this paper, a new approach for damage detection using a chaotic signal as an input excitation and steady state attractor-based measures as diagnostic parameters is investigated by means of numerical simulations. The method utilizes the deterministic, extreme sensitive properties of the chaotic signal to give rise to a low-dimensional response for feature extraction. This approach is applied to two numerical examples, the 4 DOF spring-mass-damper and a cantilevered beam system, where the damage is produced by varying the structural damping and stiffness, respectively. Lyapunov dimension is calculated as a “feature” for detecting the damage. Results show that this approach is feasible to detecting structural damage.

Info:

Periodical:

Advanced Materials Research (Volumes 163-167)

Edited by:

Lijuan Li

Pages:

2515-2520

DOI:

10.4028/www.scientific.net/AMR.163-167.2515

Citation:

Q. H. Qiu et al., "Structural Damage Detection through Chaotic Interrogation and Attractor Analysis", Advanced Materials Research, Vols. 163-167, pp. 2515-2520, 2011

Online since:

December 2010

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Price:

$35.00

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